Simple Neuroimaging.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Simple Neuroimaging\n",
    "Roberto Toro, Valparaíso, 2016\n",
    "\n",
    "A series of volume- and surface-based analyses using online data. We will use open data from the ABIDE initiative (Autism Brain Imaging Data Exchange). We will obtain either static data from Amazon, or interactive data from BrainBox.\n",
    "\n",
    "Information about the demographic and phenotypic variables available can be found here:\n",
    "\n",
    "http://fcon_1000.projects.nitrc.org/indi/abide/ABIDEII_Data_Legend.pdf\n",
    "\n",
    "Information about the neuroimaging data available at Amazon's S3 can be found here:\n",
    "\n",
    "http://preprocessed-connectomes-project.org/abide/download.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%pylab inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "//anaconda/lib/python2.7/site-packages/statsmodels/compat/pandas.py:56: FutureWarning: The pandas.core.datetools module is deprecated and will be removed in a future version. Please use the pandas.tseries module instead.\n",
      "  from pandas.core import datetools\n"
     ]
    }
   ],
   "source": [
    "import urllib2 as url\n",
    "import re\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import statsmodels.api as sm\n",
    "import statsmodels.formula.api as smf\n",
    "import statsmodels.stats.power as smp\n",
    "import matplotlib.pyplot as plt\n",
    "from StringIO import StringIO\n",
    "import json\n",
    "\n",
    "# Install seaborn typing `conda install seaborn`\n",
    "import seaborn as sns\n",
    "\n",
    "# Install nilearn and nibabel typing `pip install nilearn`\n",
    "import nibabel as nib\n",
    "import nilearn\n",
    "from nilearn import plotting"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Regional brain differences between patients with autism and controls (from ABIDE in Amazon)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "      <td>124.0</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>10.460008</td>\n",
       "      <td>4.282238</td>\n",
       "      <td>0.161716</td>\n",
       "      <td>9.241155</td>\n",
       "      <td>0.578301</td>\n",
       "      <td>56.286350</td>\n",
       "      <td>2.012112</td>\n",
       "      <td>0.949857</td>\n",
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       "      <td>135.0</td>\n",
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       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>19.09</td>\n",
       "      <td>1</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>113.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>117.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>19.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2.0</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.698144</td>\n",
       "      <td>1.226218</td>\n",
       "      <td>9.725750</td>\n",
       "      <td>3.881684</td>\n",
       "      <td>0.174186</td>\n",
       "      <td>9.323463</td>\n",
       "      <td>0.578960</td>\n",
       "      <td>63.317943</td>\n",
       "      <td>1.866104</td>\n",
       "      <td>1.180605</td>\n",
       "      <td>0.008262</td>\n",
       "      <td>0.014260</td>\n",
       "      <td>0.127745</td>\n",
       "      <td>29.0</td>\n",
       "      <td>14.427861</td>\n",
       "      <td>0.046745</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>50005</td>\n",
       "      <td>4</td>\n",
       "      <td>50005</td>\n",
       "      <td>PITT</td>\n",
       "      <td>Pitt_0050005</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>13.73</td>\n",
       "      <td>2</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>119.0</td>\n",
       "      <td>117.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>23.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>Fluoxetine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.071807</td>\n",
       "      <td>1.256278</td>\n",
       "      <td>11.198226</td>\n",
       "      <td>3.628667</td>\n",
       "      <td>0.119269</td>\n",
       "      <td>10.814200</td>\n",
       "      <td>0.556064</td>\n",
       "      <td>70.800354</td>\n",
       "      <td>1.918278</td>\n",
       "      <td>1.092030</td>\n",
       "      <td>0.001711</td>\n",
       "      <td>0.019205</td>\n",
       "      <td>0.128136</td>\n",
       "      <td>22.0</td>\n",
       "      <td>10.945274</td>\n",
       "      <td>0.027963</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-parietal-cerebellum</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>50006</td>\n",
       "      <td>5</td>\n",
       "      <td>50006</td>\n",
       "      <td>PITT</td>\n",
       "      <td>Pitt_0050006</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>13.37</td>\n",
       "      <td>1</td>\n",
       "      <td>L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>109.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.026798</td>\n",
       "      <td>1.407166</td>\n",
       "      <td>6.282055</td>\n",
       "      <td>3.674539</td>\n",
       "      <td>0.130647</td>\n",
       "      <td>10.123574</td>\n",
       "      <td>0.562942</td>\n",
       "      <td>75.364679</td>\n",
       "      <td>2.213873</td>\n",
       "      <td>1.086830</td>\n",
       "      <td>0.001500</td>\n",
       "      <td>0.006919</td>\n",
       "      <td>0.070143</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.492537</td>\n",
       "      <td>0.054006</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-parietal slight</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>50007</td>\n",
       "      <td>6</td>\n",
       "      <td>50007</td>\n",
       "      <td>PITT</td>\n",
       "      <td>Pitt_0050007</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>17.78</td>\n",
       "      <td>1</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>110.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>21.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.775897</td>\n",
       "      <td>1.161231</td>\n",
       "      <td>6.991093</td>\n",
       "      <td>4.104707</td>\n",
       "      <td>0.236214</td>\n",
       "      <td>7.638746</td>\n",
       "      <td>0.607554</td>\n",
       "      <td>64.682109</td>\n",
       "      <td>1.834521</td>\n",
       "      <td>1.099380</td>\n",
       "      <td>0.002805</td>\n",
       "      <td>0.028284</td>\n",
       "      <td>0.151246</td>\n",
       "      <td>38.0</td>\n",
       "      <td>18.905473</td>\n",
       "      <td>0.055615</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum_temporal_lob</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>50008</td>\n",
       "      <td>7</td>\n",
       "      <td>50008</td>\n",
       "      <td>PITT</td>\n",
       "      <td>Pitt_0050008</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>32.45</td>\n",
       "      <td>1</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>123.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>24.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>Sertraline</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.669686</td>\n",
       "      <td>1.241491</td>\n",
       "      <td>7.945937</td>\n",
       "      <td>3.831462</td>\n",
       "      <td>0.131733</td>\n",
       "      <td>8.507972</td>\n",
       "      <td>0.571447</td>\n",
       "      <td>60.682083</td>\n",
       "      <td>1.909622</td>\n",
       "      <td>1.038369</td>\n",
       "      <td>0.000524</td>\n",
       "      <td>0.018028</td>\n",
       "      <td>0.169275</td>\n",
       "      <td>58.0</td>\n",
       "      <td>28.855721</td>\n",
       "      <td>0.056363</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>50009</td>\n",
       "      <td>8</td>\n",
       "      <td>50009</td>\n",
       "      <td>PITT</td>\n",
       "      <td>Pitt_0050009</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>33.86</td>\n",
       "      <td>1</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>126.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>20.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>Pantoprazole</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.447948</td>\n",
       "      <td>1.201311</td>\n",
       "      <td>7.858095</td>\n",
       "      <td>3.622118</td>\n",
       "      <td>0.197792</td>\n",
       "      <td>6.552231</td>\n",
       "      <td>0.596593</td>\n",
       "      <td>64.427431</td>\n",
       "      <td>2.032504</td>\n",
       "      <td>1.180188</td>\n",
       "      <td>0.003165</td>\n",
       "      <td>0.010513</td>\n",
       "      <td>0.091976</td>\n",
       "      <td>14.0</td>\n",
       "      <td>6.965174</td>\n",
       "      <td>0.053051</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>fail</td>\n",
       "      <td>ic-parietal-cerebellum</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>50010</td>\n",
       "      <td>9</td>\n",
       "      <td>50010</td>\n",
       "      <td>PITT</td>\n",
       "      <td>Pitt_0050010</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>35.20</td>\n",
       "      <td>1</td>\n",
       "      <td>L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.450388</td>\n",
       "      <td>0.931668</td>\n",
       "      <td>29.233811</td>\n",
       "      <td>3.852356</td>\n",
       "      <td>0.073776</td>\n",
       "      <td>13.292140</td>\n",
       "      <td>0.491360</td>\n",
       "      <td>84.924849</td>\n",
       "      <td>2.021997</td>\n",
       "      <td>1.116337</td>\n",
       "      <td>0.001126</td>\n",
       "      <td>0.006494</td>\n",
       "      <td>0.072545</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.482587</td>\n",
       "      <td>0.036569</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum_temporal_lob</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>50011</td>\n",
       "      <td>10</td>\n",
       "      <td>50011</td>\n",
       "      <td>PITT</td>\n",
       "      <td>Pitt_0050011</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>16.93</td>\n",
       "      <td>1</td>\n",
       "      <td>L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>111.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>24.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.651477</td>\n",
       "      <td>1.464786</td>\n",
       "      <td>5.833882</td>\n",
       "      <td>3.697062</td>\n",
       "      <td>0.136784</td>\n",
       "      <td>8.338746</td>\n",
       "      <td>0.593579</td>\n",
       "      <td>75.566758</td>\n",
       "      <td>2.022410</td>\n",
       "      <td>1.091183</td>\n",
       "      <td>0.001016</td>\n",
       "      <td>0.009168</td>\n",
       "      <td>0.081539</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.985075</td>\n",
       "      <td>0.050781</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum_temporal_lob</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>50012</td>\n",
       "      <td>11</td>\n",
       "      <td>50012</td>\n",
       "      <td>PITT</td>\n",
       "      <td>Pitt_0050012</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>21.48</td>\n",
       "      <td>1</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>128.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>21.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.967131</td>\n",
       "      <td>1.332857</td>\n",
       "      <td>5.775844</td>\n",
       "      <td>3.845464</td>\n",
       "      <td>0.143812</td>\n",
       "      <td>8.339335</td>\n",
       "      <td>0.560383</td>\n",
       "      <td>69.756576</td>\n",
       "      <td>2.117930</td>\n",
       "      <td>1.126393</td>\n",
       "      <td>0.000582</td>\n",
       "      <td>0.005804</td>\n",
       "      <td>0.104551</td>\n",
       "      <td>17.0</td>\n",
       "      <td>8.457711</td>\n",
       "      <td>0.050571</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>50013</td>\n",
       "      <td>12</td>\n",
       "      <td>50013</td>\n",
       "      <td>PITT</td>\n",
       "      <td>Pitt_0050013</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.33</td>\n",
       "      <td>1</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>86.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>17.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.700406</td>\n",
       "      <td>1.350183</td>\n",
       "      <td>8.310242</td>\n",
       "      <td>3.504605</td>\n",
       "      <td>0.149480</td>\n",
       "      <td>11.450269</td>\n",
       "      <td>0.534688</td>\n",
       "      <td>102.236951</td>\n",
       "      <td>1.921709</td>\n",
       "      <td>1.099368</td>\n",
       "      <td>0.009733</td>\n",
       "      <td>0.019577</td>\n",
       "      <td>0.232532</td>\n",
       "      <td>50.0</td>\n",
       "      <td>24.875622</td>\n",
       "      <td>0.033976</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>50014</td>\n",
       "      <td>13</td>\n",
       "      <td>50014</td>\n",
       "      <td>PITT</td>\n",
       "      <td>Pitt_0050014</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>14.20</td>\n",
       "      <td>1</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>96.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>22.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>Atomoxetine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.143879</td>\n",
       "      <td>1.248444</td>\n",
       "      <td>6.895069</td>\n",
       "      <td>4.015151</td>\n",
       "      <td>0.167681</td>\n",
       "      <td>8.720424</td>\n",
       "      <td>0.558461</td>\n",
       "      <td>73.759477</td>\n",
       "      <td>1.893077</td>\n",
       "      <td>1.141546</td>\n",
       "      <td>0.000487</td>\n",
       "      <td>0.008130</td>\n",
       "      <td>0.032496</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.995025</td>\n",
       "      <td>0.037690</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>14</td>\n",
       "      <td>50015</td>\n",
       "      <td>14</td>\n",
       "      <td>50015</td>\n",
       "      <td>PITT</td>\n",
       "      <td>Pitt_0050015</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>14.20</td>\n",
       "      <td>1</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>12.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.123484</td>\n",
       "      <td>1.261658</td>\n",
       "      <td>6.832958</td>\n",
       "      <td>3.642746</td>\n",
       "      <td>0.216527</td>\n",
       "      <td>8.034187</td>\n",
       "      <td>0.567795</td>\n",
       "      <td>71.679921</td>\n",
       "      <td>2.007523</td>\n",
       "      <td>1.165877</td>\n",
       "      <td>0.000708</td>\n",
       "      <td>0.009060</td>\n",
       "      <td>0.070063</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.980100</td>\n",
       "      <td>0.045516</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>15</td>\n",
       "      <td>50016</td>\n",
       "      <td>15</td>\n",
       "      <td>50016</td>\n",
       "      <td>PITT</td>\n",
       "      <td>Pitt_0050016</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>21.82</td>\n",
       "      <td>1</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>123.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>22.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.043799</td>\n",
       "      <td>1.171186</td>\n",
       "      <td>8.643467</td>\n",
       "      <td>4.021929</td>\n",
       "      <td>0.191117</td>\n",
       "      <td>7.924146</td>\n",
       "      <td>0.612581</td>\n",
       "      <td>52.029763</td>\n",
       "      <td>1.876027</td>\n",
       "      <td>1.081556</td>\n",
       "      <td>0.001060</td>\n",
       "      <td>0.008930</td>\n",
       "      <td>0.105155</td>\n",
       "      <td>11.0</td>\n",
       "      <td>5.472637</td>\n",
       "      <td>0.057221</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-parietal-cerebellum_temporal</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>16</td>\n",
       "      <td>50017</td>\n",
       "      <td>16</td>\n",
       "      <td>50017</td>\n",
       "      <td>PITT</td>\n",
       "      <td>Pitt_0050017</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>22.70</td>\n",
       "      <td>1</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>87.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>22.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.772440</td>\n",
       "      <td>1.222305</td>\n",
       "      <td>6.155562</td>\n",
       "      <td>4.040548</td>\n",
       "      <td>0.245086</td>\n",
       "      <td>7.964681</td>\n",
       "      <td>0.575297</td>\n",
       "      <td>68.859541</td>\n",
       "      <td>1.920014</td>\n",
       "      <td>1.002636</td>\n",
       "      <td>0.005298</td>\n",
       "      <td>0.030826</td>\n",
       "      <td>0.342834</td>\n",
       "      <td>94.0</td>\n",
       "      <td>46.766169</td>\n",
       "      <td>0.053618</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>skull-striping fail</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum_temporal_lob</td>\n",
       "      <td>fail</td>\n",
       "      <td>noise</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>17</td>\n",
       "      <td>50019</td>\n",
       "      <td>17</td>\n",
       "      <td>50019</td>\n",
       "      <td>PITT</td>\n",
       "      <td>Pitt_0050019</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>27.81</td>\n",
       "      <td>1</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>20.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>Methylphenidate; Citalopram</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.814635</td>\n",
       "      <td>1.463122</td>\n",
       "      <td>5.978813</td>\n",
       "      <td>3.724600</td>\n",
       "      <td>0.232362</td>\n",
       "      <td>7.719343</td>\n",
       "      <td>0.616595</td>\n",
       "      <td>56.519909</td>\n",
       "      <td>1.941113</td>\n",
       "      <td>1.027433</td>\n",
       "      <td>0.002014</td>\n",
       "      <td>0.022535</td>\n",
       "      <td>0.250098</td>\n",
       "      <td>118.0</td>\n",
       "      <td>58.706468</td>\n",
       "      <td>0.066776</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>fail</td>\n",
       "      <td>ic-occipital_parietal</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17</td>\n",
       "      <td>18</td>\n",
       "      <td>50020</td>\n",
       "      <td>18</td>\n",
       "      <td>50020</td>\n",
       "      <td>PITT</td>\n",
       "      <td>Pitt_0050020</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>20.83</td>\n",
       "      <td>1</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>Lisdexamfetamine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.674346</td>\n",
       "      <td>1.277451</td>\n",
       "      <td>10.715523</td>\n",
       "      <td>3.918828</td>\n",
       "      <td>0.148795</td>\n",
       "      <td>10.849225</td>\n",
       "      <td>0.580221</td>\n",
       "      <td>51.253433</td>\n",
       "      <td>1.909970</td>\n",
       "      <td>1.051523</td>\n",
       "      <td>0.000882</td>\n",
       "      <td>0.011054</td>\n",
       "      <td>0.093131</td>\n",
       "      <td>11.0</td>\n",
       "      <td>5.472637</td>\n",
       "      <td>0.068259</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>18</td>\n",
       "      <td>19</td>\n",
       "      <td>50022</td>\n",
       "      <td>19</td>\n",
       "      <td>50022</td>\n",
       "      <td>PITT</td>\n",
       "      <td>Pitt_0050022</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>16.99</td>\n",
       "      <td>1</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>119.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>23.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.929418</td>\n",
       "      <td>1.506115</td>\n",
       "      <td>7.213386</td>\n",
       "      <td>3.859219</td>\n",
       "      <td>0.155915</td>\n",
       "      <td>11.673862</td>\n",
       "      <td>0.581391</td>\n",
       "      <td>61.601446</td>\n",
       "      <td>1.946418</td>\n",
       "      <td>1.048549</td>\n",
       "      <td>0.001610</td>\n",
       "      <td>0.009290</td>\n",
       "      <td>0.075150</td>\n",
       "      <td>11.0</td>\n",
       "      <td>5.472637</td>\n",
       "      <td>0.056679</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum_temporal_lob</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>19</td>\n",
       "      <td>20</td>\n",
       "      <td>50023</td>\n",
       "      <td>20</td>\n",
       "      <td>50023</td>\n",
       "      <td>PITT</td>\n",
       "      <td>Pitt_0050023</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>12.64</td>\n",
       "      <td>2</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>97.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.940509</td>\n",
       "      <td>1.398148</td>\n",
       "      <td>6.469069</td>\n",
       "      <td>3.876544</td>\n",
       "      <td>0.173036</td>\n",
       "      <td>9.056360</td>\n",
       "      <td>0.573193</td>\n",
       "      <td>75.482207</td>\n",
       "      <td>2.080066</td>\n",
       "      <td>1.008803</td>\n",
       "      <td>0.000653</td>\n",
       "      <td>0.018582</td>\n",
       "      <td>0.143019</td>\n",
       "      <td>38.0</td>\n",
       "      <td>18.905473</td>\n",
       "      <td>0.041551</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum_temporal_lobe</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20</td>\n",
       "      <td>21</td>\n",
       "      <td>50024</td>\n",
       "      <td>21</td>\n",
       "      <td>50024</td>\n",
       "      <td>PITT</td>\n",
       "      <td>Pitt_0050024</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>22.64</td>\n",
       "      <td>1</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>19.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.840155</td>\n",
       "      <td>1.320027</td>\n",
       "      <td>7.542863</td>\n",
       "      <td>3.690417</td>\n",
       "      <td>0.175467</td>\n",
       "      <td>8.474484</td>\n",
       "      <td>0.564425</td>\n",
       "      <td>66.939962</td>\n",
       "      <td>1.922336</td>\n",
       "      <td>1.070192</td>\n",
       "      <td>0.000466</td>\n",
       "      <td>0.006585</td>\n",
       "      <td>0.087743</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.058764</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum_temporal_lob</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>21</td>\n",
       "      <td>22</td>\n",
       "      <td>50025</td>\n",
       "      <td>22</td>\n",
       "      <td>50025</td>\n",
       "      <td>PITT</td>\n",
       "      <td>Pitt_0050025</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>31.72</td>\n",
       "      <td>1</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>26.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.494309</td>\n",
       "      <td>1.071798</td>\n",
       "      <td>11.676546</td>\n",
       "      <td>3.969660</td>\n",
       "      <td>0.147526</td>\n",
       "      <td>9.665734</td>\n",
       "      <td>0.538520</td>\n",
       "      <td>64.020562</td>\n",
       "      <td>2.052902</td>\n",
       "      <td>1.041346</td>\n",
       "      <td>0.000567</td>\n",
       "      <td>0.008434</td>\n",
       "      <td>0.100243</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.990050</td>\n",
       "      <td>0.051174</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum_temporal_lob</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>22</td>\n",
       "      <td>23</td>\n",
       "      <td>50026</td>\n",
       "      <td>23</td>\n",
       "      <td>50026</td>\n",
       "      <td>PITT</td>\n",
       "      <td>Pitt_0050026</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>16.28</td>\n",
       "      <td>1</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>87.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>22.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>Sertraline; Risperidone; Dextroamphetamine and...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.909607</td>\n",
       "      <td>1.297104</td>\n",
       "      <td>9.542624</td>\n",
       "      <td>3.740345</td>\n",
       "      <td>0.128834</td>\n",
       "      <td>9.851853</td>\n",
       "      <td>0.587708</td>\n",
       "      <td>68.569063</td>\n",
       "      <td>1.962616</td>\n",
       "      <td>1.112957</td>\n",
       "      <td>0.001761</td>\n",
       "      <td>0.015285</td>\n",
       "      <td>0.387298</td>\n",
       "      <td>154.0</td>\n",
       "      <td>76.616915</td>\n",
       "      <td>0.057138</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum_temporal_lob</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>23</td>\n",
       "      <td>24</td>\n",
       "      <td>50027</td>\n",
       "      <td>24</td>\n",
       "      <td>50027</td>\n",
       "      <td>PITT</td>\n",
       "      <td>Pitt_0050027</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>12.24</td>\n",
       "      <td>1</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>98.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>20.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.758219</td>\n",
       "      <td>1.214965</td>\n",
       "      <td>8.180706</td>\n",
       "      <td>3.947252</td>\n",
       "      <td>0.118513</td>\n",
       "      <td>9.536603</td>\n",
       "      <td>0.514605</td>\n",
       "      <td>89.894675</td>\n",
       "      <td>2.020222</td>\n",
       "      <td>1.245619</td>\n",
       "      <td>0.013491</td>\n",
       "      <td>0.009515</td>\n",
       "      <td>0.145126</td>\n",
       "      <td>28.0</td>\n",
       "      <td>13.930348</td>\n",
       "      <td>0.033487</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>ic-cerebellum</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>24</td>\n",
       "      <td>25</td>\n",
       "      <td>50028</td>\n",
       "      <td>25</td>\n",
       "      <td>50028</td>\n",
       "      <td>PITT</td>\n",
       "      <td>Pitt_0050028</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>12.74</td>\n",
       "      <td>1</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>126.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.279284</td>\n",
       "      <td>1.295004</td>\n",
       "      <td>7.306073</td>\n",
       "      <td>3.866901</td>\n",
       "      <td>0.141588</td>\n",
       "      <td>9.040271</td>\n",
       "      <td>0.582104</td>\n",
       "      <td>79.754172</td>\n",
       "      <td>1.934847</td>\n",
       "      <td>1.100119</td>\n",
       "      <td>0.001082</td>\n",
       "      <td>0.011873</td>\n",
       "      <td>0.238692</td>\n",
       "      <td>99.0</td>\n",
       "      <td>49.253731</td>\n",
       "      <td>0.045800</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>skull-striping fail</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-parietal-cerebellum</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>25</td>\n",
       "      <td>26</td>\n",
       "      <td>50029</td>\n",
       "      <td>26</td>\n",
       "      <td>50029</td>\n",
       "      <td>PITT</td>\n",
       "      <td>Pitt_0050029</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11.40</td>\n",
       "      <td>2</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>106.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>26.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.887200</td>\n",
       "      <td>1.274685</td>\n",
       "      <td>11.063821</td>\n",
       "      <td>3.741563</td>\n",
       "      <td>0.123814</td>\n",
       "      <td>10.706713</td>\n",
       "      <td>0.599544</td>\n",
       "      <td>73.936808</td>\n",
       "      <td>1.986875</td>\n",
       "      <td>1.167056</td>\n",
       "      <td>0.000983</td>\n",
       "      <td>0.008051</td>\n",
       "      <td>0.075642</td>\n",
       "      <td>9.0</td>\n",
       "      <td>4.477612</td>\n",
       "      <td>0.039851</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>skull-striping fail</td>\n",
       "      <td>fail</td>\n",
       "      <td>ic-parietal-cerebellum</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>26</td>\n",
       "      <td>27</td>\n",
       "      <td>50030</td>\n",
       "      <td>27</td>\n",
       "      <td>50030</td>\n",
       "      <td>PITT</td>\n",
       "      <td>Pitt_0050030</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25.12</td>\n",
       "      <td>1</td>\n",
       "      <td>-9999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>105.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.241234</td>\n",
       "      <td>1.183129</td>\n",
       "      <td>9.102619</td>\n",
       "      <td>3.945129</td>\n",
       "      <td>0.160275</td>\n",
       "      <td>8.033936</td>\n",
       "      <td>0.586222</td>\n",
       "      <td>60.544002</td>\n",
       "      <td>1.991900</td>\n",
       "      <td>1.185311</td>\n",
       "      <td>0.000545</td>\n",
       "      <td>0.008652</td>\n",
       "      <td>0.098612</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.995025</td>\n",
       "      <td>0.049201</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-parietal-cerebellum</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>27</td>\n",
       "      <td>28</td>\n",
       "      <td>50031</td>\n",
       "      <td>28</td>\n",
       "      <td>50031</td>\n",
       "      <td>PITT</td>\n",
       "      <td>Pitt_0050031</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.92</td>\n",
       "      <td>1</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>106.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.350087</td>\n",
       "      <td>1.259550</td>\n",
       "      <td>3.532357</td>\n",
       "      <td>4.034113</td>\n",
       "      <td>0.214715</td>\n",
       "      <td>7.213661</td>\n",
       "      <td>0.573063</td>\n",
       "      <td>85.697555</td>\n",
       "      <td>2.035021</td>\n",
       "      <td>0.976814</td>\n",
       "      <td>0.003935</td>\n",
       "      <td>0.026343</td>\n",
       "      <td>0.153689</td>\n",
       "      <td>29.0</td>\n",
       "      <td>14.427861</td>\n",
       "      <td>0.048052</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum_temporal_lobe</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>28</td>\n",
       "      <td>29</td>\n",
       "      <td>50032</td>\n",
       "      <td>29</td>\n",
       "      <td>50032</td>\n",
       "      <td>PITT</td>\n",
       "      <td>Pitt_0050032</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19.80</td>\n",
       "      <td>1</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>119.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.467181</td>\n",
       "      <td>1.184437</td>\n",
       "      <td>12.814106</td>\n",
       "      <td>4.323522</td>\n",
       "      <td>0.147492</td>\n",
       "      <td>11.044029</td>\n",
       "      <td>0.585691</td>\n",
       "      <td>52.443174</td>\n",
       "      <td>1.911992</td>\n",
       "      <td>1.066279</td>\n",
       "      <td>0.001905</td>\n",
       "      <td>0.015171</td>\n",
       "      <td>0.067907</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.492537</td>\n",
       "      <td>0.066515</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum_temporal_lobe</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>29</td>\n",
       "      <td>30</td>\n",
       "      <td>50033</td>\n",
       "      <td>30</td>\n",
       "      <td>50033</td>\n",
       "      <td>PITT</td>\n",
       "      <td>Pitt_0050033</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.15</td>\n",
       "      <td>1</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>98.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>WASI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.406173</td>\n",
       "      <td>1.311532</td>\n",
       "      <td>8.816248</td>\n",
       "      <td>3.873079</td>\n",
       "      <td>0.169216</td>\n",
       "      <td>11.067462</td>\n",
       "      <td>0.548726</td>\n",
       "      <td>94.485717</td>\n",
       "      <td>1.872408</td>\n",
       "      <td>1.044661</td>\n",
       "      <td>0.004509</td>\n",
       "      <td>0.018335</td>\n",
       "      <td>0.070939</td>\n",
       "      <td>9.0</td>\n",
       "      <td>4.477612</td>\n",
       "      <td>0.035733</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum_temporal_lobe</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1082</th>\n",
       "      <td>1082</td>\n",
       "      <td>1083</td>\n",
       "      <td>51558</td>\n",
       "      <td>1083</td>\n",
       "      <td>51558</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051558</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>27.00</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.438417</td>\n",
       "      <td>0.839520</td>\n",
       "      <td>9.140577</td>\n",
       "      <td>3.359410</td>\n",
       "      <td>0.099237</td>\n",
       "      <td>5.456160</td>\n",
       "      <td>0.445782</td>\n",
       "      <td>205.468216</td>\n",
       "      <td>2.032735</td>\n",
       "      <td>1.204335</td>\n",
       "      <td>0.003441</td>\n",
       "      <td>0.009129</td>\n",
       "      <td>0.183134</td>\n",
       "      <td>69.0</td>\n",
       "      <td>34.328358</td>\n",
       "      <td>0.019955</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum_temporal_lobe</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1083</th>\n",
       "      <td>1083</td>\n",
       "      <td>1084</td>\n",
       "      <td>51559</td>\n",
       "      <td>1084</td>\n",
       "      <td>51559</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051559</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>27.00</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.221312</td>\n",
       "      <td>1.426890</td>\n",
       "      <td>7.857000</td>\n",
       "      <td>2.988560</td>\n",
       "      <td>0.066745</td>\n",
       "      <td>6.432693</td>\n",
       "      <td>0.495054</td>\n",
       "      <td>88.843272</td>\n",
       "      <td>1.860183</td>\n",
       "      <td>1.216343</td>\n",
       "      <td>0.003248</td>\n",
       "      <td>0.008621</td>\n",
       "      <td>0.130655</td>\n",
       "      <td>30.0</td>\n",
       "      <td>14.925373</td>\n",
       "      <td>0.030739</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1084</th>\n",
       "      <td>1084</td>\n",
       "      <td>1085</td>\n",
       "      <td>51560</td>\n",
       "      <td>1085</td>\n",
       "      <td>51560</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051560</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>27.00</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>70.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.863499</td>\n",
       "      <td>1.254731</td>\n",
       "      <td>6.722111</td>\n",
       "      <td>3.544610</td>\n",
       "      <td>0.085925</td>\n",
       "      <td>6.070108</td>\n",
       "      <td>0.467642</td>\n",
       "      <td>118.887419</td>\n",
       "      <td>2.087152</td>\n",
       "      <td>1.145621</td>\n",
       "      <td>0.001269</td>\n",
       "      <td>0.004944</td>\n",
       "      <td>0.147701</td>\n",
       "      <td>54.0</td>\n",
       "      <td>26.865672</td>\n",
       "      <td>0.026808</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1085</th>\n",
       "      <td>1085</td>\n",
       "      <td>1086</td>\n",
       "      <td>51561</td>\n",
       "      <td>1086</td>\n",
       "      <td>51561</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051561</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>36.00</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.486405</td>\n",
       "      <td>1.277088</td>\n",
       "      <td>12.944733</td>\n",
       "      <td>2.826070</td>\n",
       "      <td>0.054069</td>\n",
       "      <td>7.810627</td>\n",
       "      <td>0.511716</td>\n",
       "      <td>82.045288</td>\n",
       "      <td>1.968684</td>\n",
       "      <td>1.114646</td>\n",
       "      <td>0.001948</td>\n",
       "      <td>0.007119</td>\n",
       "      <td>0.124083</td>\n",
       "      <td>32.0</td>\n",
       "      <td>15.920398</td>\n",
       "      <td>0.034365</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>fail</td>\n",
       "      <td>ic-parietal-cerebellum</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1086</th>\n",
       "      <td>1086</td>\n",
       "      <td>1087</td>\n",
       "      <td>51562</td>\n",
       "      <td>1087</td>\n",
       "      <td>51562</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051562</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>37.00</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.322417</td>\n",
       "      <td>1.355895</td>\n",
       "      <td>5.447101</td>\n",
       "      <td>3.224120</td>\n",
       "      <td>0.085435</td>\n",
       "      <td>5.262363</td>\n",
       "      <td>0.465215</td>\n",
       "      <td>115.298629</td>\n",
       "      <td>1.885277</td>\n",
       "      <td>1.158028</td>\n",
       "      <td>0.001143</td>\n",
       "      <td>0.019403</td>\n",
       "      <td>0.113176</td>\n",
       "      <td>19.0</td>\n",
       "      <td>9.452736</td>\n",
       "      <td>0.020315</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum_temporal_lobe</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1087</th>\n",
       "      <td>1087</td>\n",
       "      <td>1088</td>\n",
       "      <td>51563</td>\n",
       "      <td>1088</td>\n",
       "      <td>51563</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051563</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>38.00</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.790305</td>\n",
       "      <td>1.174401</td>\n",
       "      <td>6.318626</td>\n",
       "      <td>3.343790</td>\n",
       "      <td>0.106030</td>\n",
       "      <td>4.606572</td>\n",
       "      <td>0.506452</td>\n",
       "      <td>60.808040</td>\n",
       "      <td>1.907286</td>\n",
       "      <td>1.055674</td>\n",
       "      <td>0.001351</td>\n",
       "      <td>0.008523</td>\n",
       "      <td>0.127575</td>\n",
       "      <td>26.0</td>\n",
       "      <td>12.935323</td>\n",
       "      <td>0.029264</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum_temporal_lobe</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1088</th>\n",
       "      <td>1088</td>\n",
       "      <td>1089</td>\n",
       "      <td>51564</td>\n",
       "      <td>1089</td>\n",
       "      <td>51564</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051564</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>39.00</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.580298</td>\n",
       "      <td>1.511072</td>\n",
       "      <td>8.336963</td>\n",
       "      <td>3.000720</td>\n",
       "      <td>0.060600</td>\n",
       "      <td>6.891173</td>\n",
       "      <td>0.489111</td>\n",
       "      <td>92.033973</td>\n",
       "      <td>1.848336</td>\n",
       "      <td>1.179021</td>\n",
       "      <td>0.000710</td>\n",
       "      <td>0.006930</td>\n",
       "      <td>0.164435</td>\n",
       "      <td>60.0</td>\n",
       "      <td>29.850746</td>\n",
       "      <td>0.037427</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum-temporal_lobe</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1089</th>\n",
       "      <td>1089</td>\n",
       "      <td>1090</td>\n",
       "      <td>51565</td>\n",
       "      <td>1090</td>\n",
       "      <td>51565</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051565</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>39.00</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.102250</td>\n",
       "      <td>1.367696</td>\n",
       "      <td>5.106239</td>\n",
       "      <td>3.251950</td>\n",
       "      <td>0.092807</td>\n",
       "      <td>4.787800</td>\n",
       "      <td>0.468724</td>\n",
       "      <td>122.397255</td>\n",
       "      <td>1.910385</td>\n",
       "      <td>1.152203</td>\n",
       "      <td>0.000847</td>\n",
       "      <td>0.005174</td>\n",
       "      <td>0.122904</td>\n",
       "      <td>29.0</td>\n",
       "      <td>14.427861</td>\n",
       "      <td>0.025146</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum_temporal_lobe</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1090</th>\n",
       "      <td>1090</td>\n",
       "      <td>1091</td>\n",
       "      <td>51566</td>\n",
       "      <td>1091</td>\n",
       "      <td>51566</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051566</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>41.00</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>70.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.733237</td>\n",
       "      <td>1.521456</td>\n",
       "      <td>7.101676</td>\n",
       "      <td>3.233030</td>\n",
       "      <td>0.068319</td>\n",
       "      <td>7.195671</td>\n",
       "      <td>0.472449</td>\n",
       "      <td>116.536981</td>\n",
       "      <td>1.943543</td>\n",
       "      <td>1.116740</td>\n",
       "      <td>0.000944</td>\n",
       "      <td>0.006209</td>\n",
       "      <td>0.136413</td>\n",
       "      <td>45.0</td>\n",
       "      <td>22.388060</td>\n",
       "      <td>0.021309</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum-temporal_lobe</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1091</th>\n",
       "      <td>1091</td>\n",
       "      <td>1092</td>\n",
       "      <td>51567</td>\n",
       "      <td>1092</td>\n",
       "      <td>51567</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051567</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>34.00</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.577269</td>\n",
       "      <td>1.520595</td>\n",
       "      <td>7.211705</td>\n",
       "      <td>2.910720</td>\n",
       "      <td>0.060916</td>\n",
       "      <td>6.814600</td>\n",
       "      <td>0.482650</td>\n",
       "      <td>104.150354</td>\n",
       "      <td>2.080765</td>\n",
       "      <td>1.138462</td>\n",
       "      <td>0.000728</td>\n",
       "      <td>0.010123</td>\n",
       "      <td>0.161788</td>\n",
       "      <td>54.0</td>\n",
       "      <td>26.865672</td>\n",
       "      <td>0.035488</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum-temporal_lobe</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1092</th>\n",
       "      <td>1092</td>\n",
       "      <td>1093</td>\n",
       "      <td>51568</td>\n",
       "      <td>1093</td>\n",
       "      <td>51568</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051568</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>37.00</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.746960</td>\n",
       "      <td>0.997956</td>\n",
       "      <td>15.593540</td>\n",
       "      <td>2.885570</td>\n",
       "      <td>0.056971</td>\n",
       "      <td>7.349228</td>\n",
       "      <td>0.469991</td>\n",
       "      <td>124.681411</td>\n",
       "      <td>1.899898</td>\n",
       "      <td>1.153679</td>\n",
       "      <td>0.001424</td>\n",
       "      <td>0.007928</td>\n",
       "      <td>0.271007</td>\n",
       "      <td>144.0</td>\n",
       "      <td>71.641791</td>\n",
       "      <td>0.017776</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum-temporal_lobe</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1093</th>\n",
       "      <td>1093</td>\n",
       "      <td>1094</td>\n",
       "      <td>51569</td>\n",
       "      <td>1094</td>\n",
       "      <td>51569</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051569</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>36.00</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.258132</td>\n",
       "      <td>1.436278</td>\n",
       "      <td>14.831974</td>\n",
       "      <td>2.911150</td>\n",
       "      <td>0.047992</td>\n",
       "      <td>8.450562</td>\n",
       "      <td>0.480033</td>\n",
       "      <td>111.161146</td>\n",
       "      <td>1.995363</td>\n",
       "      <td>1.107504</td>\n",
       "      <td>0.000660</td>\n",
       "      <td>0.005024</td>\n",
       "      <td>0.220653</td>\n",
       "      <td>94.0</td>\n",
       "      <td>46.766169</td>\n",
       "      <td>0.025558</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum-temporal_lobe</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1094</th>\n",
       "      <td>1094</td>\n",
       "      <td>1095</td>\n",
       "      <td>51570</td>\n",
       "      <td>1095</td>\n",
       "      <td>51570</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051570</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42.00</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.090007</td>\n",
       "      <td>0.399857</td>\n",
       "      <td>31.030144</td>\n",
       "      <td>3.228790</td>\n",
       "      <td>0.089614</td>\n",
       "      <td>4.947239</td>\n",
       "      <td>0.471565</td>\n",
       "      <td>103.960263</td>\n",
       "      <td>1.986581</td>\n",
       "      <td>1.082660</td>\n",
       "      <td>0.002412</td>\n",
       "      <td>0.006920</td>\n",
       "      <td>0.119588</td>\n",
       "      <td>20.0</td>\n",
       "      <td>9.950249</td>\n",
       "      <td>0.022805</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum-temporal_lobe</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1095</th>\n",
       "      <td>1095</td>\n",
       "      <td>1096</td>\n",
       "      <td>51571</td>\n",
       "      <td>1096</td>\n",
       "      <td>51571</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051571</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>22.00</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-90.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>101.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GIT</td>\n",
       "      <td>GIT</td>\n",
       "      <td>26.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "      <td>Antidepressant</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.45</td>\n",
       "      <td>2.687600</td>\n",
       "      <td>1.658664</td>\n",
       "      <td>2.607570</td>\n",
       "      <td>3.376190</td>\n",
       "      <td>0.122338</td>\n",
       "      <td>4.074631</td>\n",
       "      <td>0.486656</td>\n",
       "      <td>109.718275</td>\n",
       "      <td>2.009262</td>\n",
       "      <td>1.190833</td>\n",
       "      <td>0.000788</td>\n",
       "      <td>0.006595</td>\n",
       "      <td>0.138318</td>\n",
       "      <td>44.0</td>\n",
       "      <td>21.890547</td>\n",
       "      <td>0.041192</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>fail</td>\n",
       "      <td>ic-parietal-cerebellum</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1096</th>\n",
       "      <td>1096</td>\n",
       "      <td>1097</td>\n",
       "      <td>51572</td>\n",
       "      <td>1097</td>\n",
       "      <td>51572</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051572</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>28.00</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>93.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GIT</td>\n",
       "      <td>GIT</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.33</td>\n",
       "      <td>3.601109</td>\n",
       "      <td>1.264992</td>\n",
       "      <td>5.158230</td>\n",
       "      <td>3.239030</td>\n",
       "      <td>0.101655</td>\n",
       "      <td>5.069206</td>\n",
       "      <td>0.472395</td>\n",
       "      <td>104.648364</td>\n",
       "      <td>2.027010</td>\n",
       "      <td>1.192050</td>\n",
       "      <td>0.002274</td>\n",
       "      <td>0.006622</td>\n",
       "      <td>0.126411</td>\n",
       "      <td>33.0</td>\n",
       "      <td>16.417910</td>\n",
       "      <td>0.038234</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum-temporal_lobe</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1097</th>\n",
       "      <td>1097</td>\n",
       "      <td>1098</td>\n",
       "      <td>51573</td>\n",
       "      <td>1098</td>\n",
       "      <td>51573</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051573</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>30.00</td>\n",
       "      <td>1</td>\n",
       "      <td>L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>108.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GIT</td>\n",
       "      <td>GIT</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-9999</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.81</td>\n",
       "      <td>3.536205</td>\n",
       "      <td>1.433258</td>\n",
       "      <td>5.037868</td>\n",
       "      <td>3.277650</td>\n",
       "      <td>0.088665</td>\n",
       "      <td>5.492969</td>\n",
       "      <td>0.465977</td>\n",
       "      <td>124.576568</td>\n",
       "      <td>1.919242</td>\n",
       "      <td>1.142243</td>\n",
       "      <td>0.001377</td>\n",
       "      <td>0.005835</td>\n",
       "      <td>0.142374</td>\n",
       "      <td>44.0</td>\n",
       "      <td>21.890547</td>\n",
       "      <td>0.030054</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1098</th>\n",
       "      <td>1098</td>\n",
       "      <td>1099</td>\n",
       "      <td>51574</td>\n",
       "      <td>1099</td>\n",
       "      <td>51574</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051574</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>30.00</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>105.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GIT</td>\n",
       "      <td>GIT</td>\n",
       "      <td>21.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.79</td>\n",
       "      <td>5.466269</td>\n",
       "      <td>1.044190</td>\n",
       "      <td>16.415246</td>\n",
       "      <td>3.046780</td>\n",
       "      <td>0.048442</td>\n",
       "      <td>7.804992</td>\n",
       "      <td>0.477982</td>\n",
       "      <td>114.541675</td>\n",
       "      <td>2.016993</td>\n",
       "      <td>1.197003</td>\n",
       "      <td>0.001277</td>\n",
       "      <td>0.005119</td>\n",
       "      <td>0.132729</td>\n",
       "      <td>29.0</td>\n",
       "      <td>14.427861</td>\n",
       "      <td>0.020495</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-parietal-cerebellum</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1099</th>\n",
       "      <td>1099</td>\n",
       "      <td>1100</td>\n",
       "      <td>51575</td>\n",
       "      <td>1100</td>\n",
       "      <td>51575</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051575</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>31.00</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GIT</td>\n",
       "      <td>GIT</td>\n",
       "      <td>15.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.61</td>\n",
       "      <td>5.794431</td>\n",
       "      <td>1.730441</td>\n",
       "      <td>7.783196</td>\n",
       "      <td>3.180180</td>\n",
       "      <td>0.060901</td>\n",
       "      <td>7.486296</td>\n",
       "      <td>0.496913</td>\n",
       "      <td>130.969017</td>\n",
       "      <td>2.030166</td>\n",
       "      <td>1.110365</td>\n",
       "      <td>0.001460</td>\n",
       "      <td>0.011393</td>\n",
       "      <td>0.415470</td>\n",
       "      <td>152.0</td>\n",
       "      <td>75.621891</td>\n",
       "      <td>0.034672</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>fail</td>\n",
       "      <td>ic-cerebellum-temporal_lobe</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1100</th>\n",
       "      <td>1100</td>\n",
       "      <td>1101</td>\n",
       "      <td>51576</td>\n",
       "      <td>1101</td>\n",
       "      <td>51576</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051576</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>31.00</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.950808</td>\n",
       "      <td>1.671033</td>\n",
       "      <td>2.804149</td>\n",
       "      <td>3.553380</td>\n",
       "      <td>0.088266</td>\n",
       "      <td>6.155381</td>\n",
       "      <td>0.482051</td>\n",
       "      <td>124.373251</td>\n",
       "      <td>2.048877</td>\n",
       "      <td>1.163657</td>\n",
       "      <td>0.000699</td>\n",
       "      <td>0.006747</td>\n",
       "      <td>0.199617</td>\n",
       "      <td>79.0</td>\n",
       "      <td>39.303483</td>\n",
       "      <td>0.022641</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1101</th>\n",
       "      <td>1101</td>\n",
       "      <td>1102</td>\n",
       "      <td>51577</td>\n",
       "      <td>1102</td>\n",
       "      <td>51577</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051577</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>31.00</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>ADHD Inattentive</td>\n",
       "      <td>1</td>\n",
       "      <td>Atomoxetine; Risperidone; Methylphenydate</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.389460</td>\n",
       "      <td>1.413071</td>\n",
       "      <td>7.826634</td>\n",
       "      <td>3.236620</td>\n",
       "      <td>0.061095</td>\n",
       "      <td>7.141211</td>\n",
       "      <td>0.495382</td>\n",
       "      <td>80.000195</td>\n",
       "      <td>1.951576</td>\n",
       "      <td>1.143517</td>\n",
       "      <td>0.001331</td>\n",
       "      <td>0.004288</td>\n",
       "      <td>0.094722</td>\n",
       "      <td>14.0</td>\n",
       "      <td>6.965174</td>\n",
       "      <td>0.030638</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum-temporal_lobe</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1102</th>\n",
       "      <td>1102</td>\n",
       "      <td>1103</td>\n",
       "      <td>51578</td>\n",
       "      <td>1103</td>\n",
       "      <td>51578</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051578</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>33.00</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-100.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>WAIS_III</td>\n",
       "      <td>WAIS_III</td>\n",
       "      <td>WAIS_III</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.676540</td>\n",
       "      <td>1.508576</td>\n",
       "      <td>6.134177</td>\n",
       "      <td>3.358970</td>\n",
       "      <td>0.063098</td>\n",
       "      <td>6.834492</td>\n",
       "      <td>0.486097</td>\n",
       "      <td>96.019834</td>\n",
       "      <td>2.099657</td>\n",
       "      <td>1.175787</td>\n",
       "      <td>0.000840</td>\n",
       "      <td>0.005729</td>\n",
       "      <td>0.147765</td>\n",
       "      <td>49.0</td>\n",
       "      <td>24.378109</td>\n",
       "      <td>0.036865</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum-temporal_lobe</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1103</th>\n",
       "      <td>1103</td>\n",
       "      <td>1104</td>\n",
       "      <td>51579</td>\n",
       "      <td>1104</td>\n",
       "      <td>51579</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051579</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>41.00</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GIT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.870399</td>\n",
       "      <td>0.917914</td>\n",
       "      <td>22.833082</td>\n",
       "      <td>2.870830</td>\n",
       "      <td>0.049213</td>\n",
       "      <td>8.168979</td>\n",
       "      <td>0.469129</td>\n",
       "      <td>127.887887</td>\n",
       "      <td>2.090513</td>\n",
       "      <td>1.125245</td>\n",
       "      <td>0.002311</td>\n",
       "      <td>0.008146</td>\n",
       "      <td>0.096582</td>\n",
       "      <td>12.0</td>\n",
       "      <td>5.970149</td>\n",
       "      <td>0.025088</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum-temporal_lobe</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1104</th>\n",
       "      <td>1104</td>\n",
       "      <td>1105</td>\n",
       "      <td>51580</td>\n",
       "      <td>1105</td>\n",
       "      <td>51580</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051580</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>42.00</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>117.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GIT</td>\n",
       "      <td>GIT</td>\n",
       "      <td>18.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.85</td>\n",
       "      <td>2.940238</td>\n",
       "      <td>1.487330</td>\n",
       "      <td>2.540405</td>\n",
       "      <td>3.146340</td>\n",
       "      <td>0.130985</td>\n",
       "      <td>4.573468</td>\n",
       "      <td>0.490547</td>\n",
       "      <td>101.314198</td>\n",
       "      <td>1.961812</td>\n",
       "      <td>1.178015</td>\n",
       "      <td>0.001758</td>\n",
       "      <td>0.005715</td>\n",
       "      <td>0.160136</td>\n",
       "      <td>62.0</td>\n",
       "      <td>30.845771</td>\n",
       "      <td>0.036961</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum-temporal_lobe</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1105</th>\n",
       "      <td>1105</td>\n",
       "      <td>1106</td>\n",
       "      <td>51581</td>\n",
       "      <td>1106</td>\n",
       "      <td>51581</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051581</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>64.00</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>WAIS_III</td>\n",
       "      <td>WAIS_III</td>\n",
       "      <td>WAIS_III</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.257336</td>\n",
       "      <td>1.168982</td>\n",
       "      <td>27.551952</td>\n",
       "      <td>2.533930</td>\n",
       "      <td>0.030998</td>\n",
       "      <td>10.200030</td>\n",
       "      <td>0.478179</td>\n",
       "      <td>167.092159</td>\n",
       "      <td>1.972915</td>\n",
       "      <td>1.122158</td>\n",
       "      <td>0.001441</td>\n",
       "      <td>0.013147</td>\n",
       "      <td>0.164442</td>\n",
       "      <td>54.0</td>\n",
       "      <td>26.865672</td>\n",
       "      <td>0.024502</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>fail</td>\n",
       "      <td>ic-parietal-cerebellum</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1106</th>\n",
       "      <td>1106</td>\n",
       "      <td>1107</td>\n",
       "      <td>51582</td>\n",
       "      <td>1107</td>\n",
       "      <td>51582</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051582</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>31.00</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>116.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GIT</td>\n",
       "      <td>GIT</td>\n",
       "      <td>18.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.68</td>\n",
       "      <td>4.768935</td>\n",
       "      <td>1.601895</td>\n",
       "      <td>6.335901</td>\n",
       "      <td>2.893500</td>\n",
       "      <td>0.064087</td>\n",
       "      <td>7.342628</td>\n",
       "      <td>0.487604</td>\n",
       "      <td>79.486838</td>\n",
       "      <td>1.918145</td>\n",
       "      <td>1.097789</td>\n",
       "      <td>0.001749</td>\n",
       "      <td>0.007724</td>\n",
       "      <td>0.171107</td>\n",
       "      <td>68.0</td>\n",
       "      <td>33.830846</td>\n",
       "      <td>0.042990</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1107</th>\n",
       "      <td>1107</td>\n",
       "      <td>1108</td>\n",
       "      <td>51583</td>\n",
       "      <td>1108</td>\n",
       "      <td>51583</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051583</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>35.00</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>WAIS_III</td>\n",
       "      <td>WAIS_III</td>\n",
       "      <td>WAIS_III</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.899774</td>\n",
       "      <td>1.697271</td>\n",
       "      <td>3.465151</td>\n",
       "      <td>3.318830</td>\n",
       "      <td>0.096813</td>\n",
       "      <td>5.434540</td>\n",
       "      <td>0.507184</td>\n",
       "      <td>91.232616</td>\n",
       "      <td>2.022145</td>\n",
       "      <td>1.278364</td>\n",
       "      <td>0.001204</td>\n",
       "      <td>0.006403</td>\n",
       "      <td>0.116186</td>\n",
       "      <td>24.0</td>\n",
       "      <td>11.940299</td>\n",
       "      <td>0.037362</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>ic-cerebellum-temporal_lobe</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1108</th>\n",
       "      <td>1108</td>\n",
       "      <td>1109</td>\n",
       "      <td>51584</td>\n",
       "      <td>1109</td>\n",
       "      <td>51584</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051584</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>49.00</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>133.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GIT</td>\n",
       "      <td>GIT</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.24</td>\n",
       "      <td>2.757735</td>\n",
       "      <td>1.073076</td>\n",
       "      <td>7.633618</td>\n",
       "      <td>3.309370</td>\n",
       "      <td>0.104817</td>\n",
       "      <td>4.516250</td>\n",
       "      <td>0.486408</td>\n",
       "      <td>108.510115</td>\n",
       "      <td>2.064103</td>\n",
       "      <td>1.122410</td>\n",
       "      <td>0.001508</td>\n",
       "      <td>0.012669</td>\n",
       "      <td>0.140171</td>\n",
       "      <td>37.0</td>\n",
       "      <td>18.407960</td>\n",
       "      <td>0.033177</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>vmpfc dropout</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1109</th>\n",
       "      <td>1109</td>\n",
       "      <td>1110</td>\n",
       "      <td>51585</td>\n",
       "      <td>1110</td>\n",
       "      <td>51585</td>\n",
       "      <td>SBL</td>\n",
       "      <td>SBL_0051585</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>27.00</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>WAIS_III</td>\n",
       "      <td>WAIS_III</td>\n",
       "      <td>WAIS_III</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.413469</td>\n",
       "      <td>1.358238</td>\n",
       "      <td>4.335700</td>\n",
       "      <td>3.324550</td>\n",
       "      <td>0.109490</td>\n",
       "      <td>4.933960</td>\n",
       "      <td>0.465152</td>\n",
       "      <td>90.100651</td>\n",
       "      <td>2.157835</td>\n",
       "      <td>1.110226</td>\n",
       "      <td>0.002469</td>\n",
       "      <td>0.008923</td>\n",
       "      <td>0.154887</td>\n",
       "      <td>52.0</td>\n",
       "      <td>25.870647</td>\n",
       "      <td>0.026048</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum-temporal_lobe</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1110</th>\n",
       "      <td>1110</td>\n",
       "      <td>1111</td>\n",
       "      <td>51606</td>\n",
       "      <td>1111</td>\n",
       "      <td>51606</td>\n",
       "      <td>MAX_MUN</td>\n",
       "      <td>MaxMun_a_0051606</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>29.00</td>\n",
       "      <td>2</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>118.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>WST</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.839007</td>\n",
       "      <td>1.754363</td>\n",
       "      <td>12.270055</td>\n",
       "      <td>3.232170</td>\n",
       "      <td>0.083964</td>\n",
       "      <td>16.403174</td>\n",
       "      <td>0.573711</td>\n",
       "      <td>77.402099</td>\n",
       "      <td>1.780653</td>\n",
       "      <td>1.152828</td>\n",
       "      <td>0.000784</td>\n",
       "      <td>0.005814</td>\n",
       "      <td>0.048246</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.053727</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1111</th>\n",
       "      <td>1111</td>\n",
       "      <td>1112</td>\n",
       "      <td>51607</td>\n",
       "      <td>1112</td>\n",
       "      <td>51607</td>\n",
       "      <td>MAX_MUN</td>\n",
       "      <td>MaxMun_a_0051607</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>26.00</td>\n",
       "      <td>1</td>\n",
       "      <td>R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>110.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>WST</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.169297</td>\n",
       "      <td>2.818352</td>\n",
       "      <td>9.272107</td>\n",
       "      <td>3.510190</td>\n",
       "      <td>0.044310</td>\n",
       "      <td>23.565982</td>\n",
       "      <td>0.611418</td>\n",
       "      <td>41.857515</td>\n",
       "      <td>1.786400</td>\n",
       "      <td>1.090482</td>\n",
       "      <td>0.001172</td>\n",
       "      <td>0.007255</td>\n",
       "      <td>0.168913</td>\n",
       "      <td>44.0</td>\n",
       "      <td>36.363636</td>\n",
       "      <td>0.075114</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maybe</td>\n",
       "      <td>ic-cerebellum</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1112 rows × 106 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0  Unnamed: 0.1  SUB_ID     X  subject  SITE_ID  \\\n",
       "0              0             1   50002     1    50002     PITT   \n",
       "1              1             2   50003     2    50003     PITT   \n",
       "2              2             3   50004     3    50004     PITT   \n",
       "3              3             4   50005     4    50005     PITT   \n",
       "4              4             5   50006     5    50006     PITT   \n",
       "5              5             6   50007     6    50007     PITT   \n",
       "6              6             7   50008     7    50008     PITT   \n",
       "7              7             8   50009     8    50009     PITT   \n",
       "8              8             9   50010     9    50010     PITT   \n",
       "9              9            10   50011    10    50011     PITT   \n",
       "10            10            11   50012    11    50012     PITT   \n",
       "11            11            12   50013    12    50013     PITT   \n",
       "12            12            13   50014    13    50014     PITT   \n",
       "13            13            14   50015    14    50015     PITT   \n",
       "14            14            15   50016    15    50016     PITT   \n",
       "15            15            16   50017    16    50017     PITT   \n",
       "16            16            17   50019    17    50019     PITT   \n",
       "17            17            18   50020    18    50020     PITT   \n",
       "18            18            19   50022    19    50022     PITT   \n",
       "19            19            20   50023    20    50023     PITT   \n",
       "20            20            21   50024    21    50024     PITT   \n",
       "21            21            22   50025    22    50025     PITT   \n",
       "22            22            23   50026    23    50026     PITT   \n",
       "23            23            24   50027    24    50027     PITT   \n",
       "24            24            25   50028    25    50028     PITT   \n",
       "25            25            26   50029    26    50029     PITT   \n",
       "26            26            27   50030    27    50030     PITT   \n",
       "27            27            28   50031    28    50031     PITT   \n",
       "28            28            29   50032    29    50032     PITT   \n",
       "29            29            30   50033    30    50033     PITT   \n",
       "...          ...           ...     ...   ...      ...      ...   \n",
       "1082        1082          1083   51558  1083    51558      SBL   \n",
       "1083        1083          1084   51559  1084    51559      SBL   \n",
       "1084        1084          1085   51560  1085    51560      SBL   \n",
       "1085        1085          1086   51561  1086    51561      SBL   \n",
       "1086        1086          1087   51562  1087    51562      SBL   \n",
       "1087        1087          1088   51563  1088    51563      SBL   \n",
       "1088        1088          1089   51564  1089    51564      SBL   \n",
       "1089        1089          1090   51565  1090    51565      SBL   \n",
       "1090        1090          1091   51566  1091    51566      SBL   \n",
       "1091        1091          1092   51567  1092    51567      SBL   \n",
       "1092        1092          1093   51568  1093    51568      SBL   \n",
       "1093        1093          1094   51569  1094    51569      SBL   \n",
       "1094        1094          1095   51570  1095    51570      SBL   \n",
       "1095        1095          1096   51571  1096    51571      SBL   \n",
       "1096        1096          1097   51572  1097    51572      SBL   \n",
       "1097        1097          1098   51573  1098    51573      SBL   \n",
       "1098        1098          1099   51574  1099    51574      SBL   \n",
       "1099        1099          1100   51575  1100    51575      SBL   \n",
       "1100        1100          1101   51576  1101    51576      SBL   \n",
       "1101        1101          1102   51577  1102    51577      SBL   \n",
       "1102        1102          1103   51578  1103    51578      SBL   \n",
       "1103        1103          1104   51579  1104    51579      SBL   \n",
       "1104        1104          1105   51580  1105    51580      SBL   \n",
       "1105        1105          1106   51581  1106    51581      SBL   \n",
       "1106        1106          1107   51582  1107    51582      SBL   \n",
       "1107        1107          1108   51583  1108    51583      SBL   \n",
       "1108        1108          1109   51584  1109    51584      SBL   \n",
       "1109        1109          1110   51585  1110    51585      SBL   \n",
       "1110        1110          1111   51606  1111    51606  MAX_MUN   \n",
       "1111        1111          1112   51607  1112    51607  MAX_MUN   \n",
       "\n",
       "               FILE_ID  DX_GROUP  DSM_IV_TR  AGE_AT_SCAN  SEX  \\\n",
       "0         Pitt_0050002         1        1.0        16.77    1   \n",
       "1         Pitt_0050003         1        1.0        24.45    1   \n",
       "2         Pitt_0050004         1        1.0        19.09    1   \n",
       "3         Pitt_0050005         1        1.0        13.73    2   \n",
       "4         Pitt_0050006         1        1.0        13.37    1   \n",
       "5         Pitt_0050007         1        1.0        17.78    1   \n",
       "6         Pitt_0050008         1        1.0        32.45    1   \n",
       "7         Pitt_0050009         1        1.0        33.86    1   \n",
       "8         Pitt_0050010         1        1.0        35.20    1   \n",
       "9         Pitt_0050011         1        1.0        16.93    1   \n",
       "10        Pitt_0050012         1        1.0        21.48    1   \n",
       "11        Pitt_0050013         1        1.0         9.33    1   \n",
       "12        Pitt_0050014         1        1.0        14.20    1   \n",
       "13        Pitt_0050015         1        1.0        14.20    1   \n",
       "14        Pitt_0050016         1        1.0        21.82    1   \n",
       "15        Pitt_0050017         1        1.0        22.70    1   \n",
       "16        Pitt_0050019         1        1.0        27.81    1   \n",
       "17        Pitt_0050020         1        1.0        20.83    1   \n",
       "18        Pitt_0050022         1        1.0        16.99    1   \n",
       "19        Pitt_0050023         1        1.0        12.64    2   \n",
       "20        Pitt_0050024         1        1.0        22.64    1   \n",
       "21        Pitt_0050025         1        1.0        31.72    1   \n",
       "22        Pitt_0050026         1        1.0        16.28    1   \n",
       "23        Pitt_0050027         1        1.0        12.24    1   \n",
       "24        Pitt_0050028         1        1.0        12.74    1   \n",
       "25        Pitt_0050029         1        1.0        11.40    2   \n",
       "26        Pitt_0050030         2        0.0        25.12    1   \n",
       "27        Pitt_0050031         2        0.0        12.92    1   \n",
       "28        Pitt_0050032         2        0.0        19.80    1   \n",
       "29        Pitt_0050033         2        0.0        12.15    1   \n",
       "...                ...       ...        ...          ...  ...   \n",
       "1082       SBL_0051558         2        0.0        27.00    1   \n",
       "1083       SBL_0051559         2        0.0        27.00    1   \n",
       "1084       SBL_0051560         2        0.0        27.00    1   \n",
       "1085       SBL_0051561         2        0.0        36.00    1   \n",
       "1086       SBL_0051562         2        0.0        37.00    1   \n",
       "1087       SBL_0051563         2        0.0        38.00    1   \n",
       "1088       SBL_0051564         2        0.0        39.00    1   \n",
       "1089       SBL_0051565         2        0.0        39.00    1   \n",
       "1090       SBL_0051566         2        0.0        41.00    1   \n",
       "1091       SBL_0051567         2        0.0        34.00    1   \n",
       "1092       SBL_0051568         2        0.0        37.00    1   \n",
       "1093       SBL_0051569         2        0.0        36.00    1   \n",
       "1094       SBL_0051570         2        0.0        42.00    1   \n",
       "1095       SBL_0051571         1        1.0        22.00    1   \n",
       "1096       SBL_0051572         1        2.0        28.00    1   \n",
       "1097       SBL_0051573         1        3.0        30.00    1   \n",
       "1098       SBL_0051574         1        2.0        30.00    1   \n",
       "1099       SBL_0051575         1        2.0        31.00    1   \n",
       "1100       SBL_0051576         1        3.0        31.00    1   \n",
       "1101       SBL_0051577         1        3.0        31.00    1   \n",
       "1102       SBL_0051578         1        2.0        33.00    1   \n",
       "1103       SBL_0051579         1        3.0        41.00    1   \n",
       "1104       SBL_0051580         1        3.0        42.00    1   \n",
       "1105       SBL_0051581         1        3.0        64.00    1   \n",
       "1106       SBL_0051582         1        2.0        31.00    1   \n",
       "1107       SBL_0051583         1        2.0        35.00    1   \n",
       "1108       SBL_0051584         1        2.0        49.00    1   \n",
       "1109       SBL_0051585         1        1.0        27.00    1   \n",
       "1110  MaxMun_a_0051606         1        2.0        29.00    2   \n",
       "1111  MaxMun_a_0051607         1        2.0        26.00    1   \n",
       "\n",
       "     HANDEDNESS_CATEGORY  HANDEDNESS_SCORES    FIQ    VIQ    PIQ  \\\n",
       "0                   Ambi                NaN  103.0  116.0   89.0   \n",
       "1                      R                NaN  124.0  128.0  115.0   \n",
       "2                      R                NaN  113.0  108.0  117.0   \n",
       "3                      R                NaN  119.0  117.0  118.0   \n",
       "4                      L                NaN  109.0   99.0  119.0   \n",
       "5                      R                NaN  110.0  106.0  112.0   \n",
       "6                      R                NaN  123.0  123.0  114.0   \n",
       "7                      R                NaN  126.0  118.0  128.0   \n",
       "8                      L                NaN   81.0   81.0   93.0   \n",
       "9                      L                NaN  111.0  101.0  120.0   \n",
       "10                     R                NaN  128.0  119.0  128.0   \n",
       "11                     R                NaN   86.0   89.0   87.0   \n",
       "12                     R                NaN   96.0   97.0   96.0   \n",
       "13                     R                NaN   99.0   98.0   99.0   \n",
       "14                     R                NaN  123.0  120.0  119.0   \n",
       "15                     R                NaN   87.0   91.0   86.0   \n",
       "16                     R                NaN  100.0   89.0  111.0   \n",
       "17                     R                NaN  100.0  120.0   83.0   \n",
       "18                     R                NaN  119.0  110.0  110.0   \n",
       "19                     R                NaN   97.0   83.0  111.0   \n",
       "20                     R                NaN  127.0  121.0  126.0   \n",
       "21                     R                NaN  131.0  132.0  123.0   \n",
       "22                     R                NaN   87.0   90.0   88.0   \n",
       "23                     R                NaN   98.0   98.0   98.0   \n",
       "24                     R                NaN  126.0  112.0  128.0   \n",
       "25                     R                NaN  106.0  109.0  100.0   \n",
       "26                 -9999                NaN  105.0  100.0  108.0   \n",
       "27                     R                NaN  106.0  102.0  107.0   \n",
       "28                     R                NaN  119.0  116.0  119.0   \n",
       "29                     R                NaN   98.0   98.0   96.0   \n",
       "...                  ...                ...    ...    ...    ...   \n",
       "1082                 NaN               80.0    NaN    NaN    NaN   \n",
       "1083                 NaN              100.0    NaN    NaN    NaN   \n",
       "1084                 NaN               70.0    NaN    NaN    NaN   \n",
       "1085                 NaN              100.0    NaN    NaN    NaN   \n",
       "1086                 NaN               90.0    NaN    NaN    NaN   \n",
       "1087                 NaN               80.0    NaN    NaN    NaN   \n",
       "1088                 NaN               90.0    NaN    NaN    NaN   \n",
       "1089                 NaN              100.0    NaN    NaN    NaN   \n",
       "1090                 NaN               70.0    NaN    NaN    NaN   \n",
       "1091                 NaN              100.0    NaN    NaN    NaN   \n",
       "1092                 NaN              100.0    NaN    NaN    NaN   \n",
       "1093                 NaN              100.0    NaN    NaN    NaN   \n",
       "1094                 NaN             -100.0    NaN    NaN    NaN   \n",
       "1095                 NaN              -90.0    NaN  101.0  110.0   \n",
       "1096                 NaN               60.0    NaN   93.0  110.0   \n",
       "1097                   L                NaN    NaN  108.0  120.0   \n",
       "1098                 NaN              100.0    NaN  105.0  121.0   \n",
       "1099                 NaN              100.0    NaN  100.0  113.0   \n",
       "1100                 NaN               80.0    NaN    NaN    NaN   \n",
       "1101                 NaN              -40.0    NaN    NaN    NaN   \n",
       "1102                 NaN             -100.0  125.0  129.0  113.0   \n",
       "1103                 NaN              100.0  110.0    NaN    NaN   \n",
       "1104                 NaN               60.0    NaN  117.0  121.0   \n",
       "1105                 NaN              100.0  120.0  119.0  116.0   \n",
       "1106                 NaN               80.0    NaN  116.0  121.0   \n",
       "1107                 NaN              100.0   95.0  105.0   84.0   \n",
       "1108                 NaN              100.0    NaN  133.0  135.0   \n",
       "1109                 NaN               90.0   96.0   99.0  106.0   \n",
       "1110                   R                NaN  118.0    NaN    NaN   \n",
       "1111                   R                NaN  110.0    NaN    NaN   \n",
       "\n",
       "     FIQ_TEST_TYPE VIQ_TEST_TYPE PIQ_TEST_TYPE  ADI_R_SOCIAL_TOTAL_A  \\\n",
       "0             WASI          WASI          WASI                  16.0   \n",
       "1             WASI          WASI          WASI                  27.0   \n",
       "2             WASI          WASI          WASI                  19.0   \n",
       "3             WASI          WASI          WASI                  23.0   \n",
       "4             WASI          WASI          WASI                  13.0   \n",
       "5             WASI          WASI          WASI                  21.0   \n",
       "6             WASI          WASI          WASI                  24.0   \n",
       "7             WASI          WASI          WASI                  20.0   \n",
       "8             WASI          WASI          WASI                   NaN   \n",
       "9             WASI          WASI          WASI                  24.0   \n",
       "10            WASI          WASI          WASI                  21.0   \n",
       "11            WASI          WASI          WASI                  17.0   \n",
       "12            WASI          WASI          WASI                  22.0   \n",
       "13            WASI          WASI          WASI                  12.0   \n",
       "14            WASI          WASI          WASI                  22.0   \n",
       "15            WASI          WASI          WASI                  22.0   \n",
       "16            WASI          WASI          WASI                  20.0   \n",
       "17            WASI          WASI          WASI                   NaN   \n",
       "18            WASI          WASI          WASI                  23.0   \n",
       "19            WASI          WASI          WASI                   NaN   \n",
       "20            WASI          WASI          WASI                  19.0   \n",
       "21            WASI          WASI          WASI                  26.0   \n",
       "22            WASI          WASI          WASI                  22.0   \n",
       "23            WASI          WASI          WASI                  20.0   \n",
       "24            WASI          WASI          WASI                   NaN   \n",
       "25            WASI          WASI          WASI                  26.0   \n",
       "26            WASI          WASI          WASI                   NaN   \n",
       "27            WASI          WASI          WASI                   NaN   \n",
       "28            WASI          WASI          WASI                   NaN   \n",
       "29            WASI          WASI          WASI                   NaN   \n",
       "...            ...           ...           ...                   ...   \n",
       "1082           NaN           NaN           NaN                   NaN   \n",
       "1083           NaN           NaN           NaN                   NaN   \n",
       "1084           NaN           NaN           NaN                   NaN   \n",
       "1085           NaN           NaN           NaN                   NaN   \n",
       "1086           NaN           NaN           NaN                   NaN   \n",
       "1087           NaN           NaN           NaN                   NaN   \n",
       "1088           NaN           NaN           NaN                   NaN   \n",
       "1089           NaN           NaN           NaN                   NaN   \n",
       "1090           NaN           NaN           NaN                   NaN   \n",
       "1091           NaN           NaN           NaN                   NaN   \n",
       "1092           NaN           NaN           NaN                   NaN   \n",
       "1093           NaN           NaN           NaN                   NaN   \n",
       "1094           NaN           NaN           NaN                   NaN   \n",
       "1095           NaN           GIT           GIT                  26.0   \n",
       "1096           NaN           GIT           GIT                   4.0   \n",
       "1097           NaN           GIT           GIT                   2.0   \n",
       "1098           NaN           GIT           GIT                  21.0   \n",
       "1099           NaN           GIT           GIT                  15.0   \n",
       "1100           NaN           NaN           NaN                   NaN   \n",
       "1101           NaN           NaN           NaN                   NaN   \n",
       "1102      WAIS_III      WAIS_III      WAIS_III                   NaN   \n",
       "1103           GIT           NaN           NaN                   NaN   \n",
       "1104           NaN           GIT           GIT                  18.0   \n",
       "1105      WAIS_III      WAIS_III      WAIS_III                   NaN   \n",
       "1106           NaN           GIT           GIT                  18.0   \n",
       "1107      WAIS_III      WAIS_III      WAIS_III                   NaN   \n",
       "1108           NaN           GIT           GIT                   9.0   \n",
       "1109      WAIS_III      WAIS_III      WAIS_III                   NaN   \n",
       "1110           WST           NaN           NaN                   NaN   \n",
       "1111           WST           NaN           NaN                   NaN   \n",
       "\n",
       "      ADI_R_VERBAL_TOTAL_BV  ADI_RRB_TOTAL_C  ADI_R_ONSET_TOTAL_D  \\\n",
       "0                       9.0              5.0                  4.0   \n",
       "1                      22.0              5.0                  3.0   \n",
       "2                      12.0              5.0                  3.0   \n",
       "3                      19.0              3.0                  4.0   \n",
       "4                      10.0              4.0                  3.0   \n",
       "5                      14.0              9.0                  1.0   \n",
       "6                      20.0             10.0                  2.0   \n",
       "7                      11.0              3.0                  2.0   \n",
       "8                       NaN              NaN                  NaN   \n",
       "9                      14.0              6.0                  1.0   \n",
       "10                     17.0              6.0                  2.0   \n",
       "11                     17.0              6.0                  5.0   \n",
       "12                     17.0              7.0                  1.0   \n",
       "13                     18.0              7.0                  2.0   \n",
       "14                     18.0              8.0                  5.0   \n",
       "15                     20.0              6.0                  3.0   \n",
       "16                     17.0              7.0                  3.0   \n",
       "17                      NaN              NaN                  NaN   \n",
       "18                     21.0              7.0                  2.0   \n",
       "19                      NaN              NaN                  NaN   \n",
       "20                     11.0              4.0                  3.0   \n",
       "21                     18.0             12.0                  2.0   \n",
       "22                     18.0              5.0                  5.0   \n",
       "23                     13.0              5.0                  4.0   \n",
       "24                      NaN              NaN                  NaN   \n",
       "25                     21.0              6.0                  5.0   \n",
       "26                      NaN              NaN                  NaN   \n",
       "27                      NaN              NaN                  NaN   \n",
       "28                      NaN              NaN                  NaN   \n",
       "29                      NaN              NaN                  NaN   \n",
       "...                     ...              ...                  ...   \n",
       "1082                    NaN              NaN                  NaN   \n",
       "1083                    NaN              NaN                  NaN   \n",
       "1084                    NaN              NaN                  NaN   \n",
       "1085                    NaN              NaN                  NaN   \n",
       "1086                    NaN              NaN                  NaN   \n",
       "1087                    NaN              NaN                  NaN   \n",
       "1088                    NaN              NaN                  NaN   \n",
       "1089                    NaN              NaN                  NaN   \n",
       "1090                    NaN              NaN                  NaN   \n",
       "1091                    NaN              NaN                  NaN   \n",
       "1092                    NaN              NaN                  NaN   \n",
       "1093                    NaN              NaN                  NaN   \n",
       "1094                    NaN              NaN                  NaN   \n",
       "1095                   21.0              8.0                  3.0   \n",
       "1096                    2.0              2.0                  0.0   \n",
       "1097                    0.0              1.0                  0.0   \n",
       "1098                   20.0              4.0                  3.0   \n",
       "1099                   11.0              1.0                  3.0   \n",
       "1100                    NaN              NaN                  NaN   \n",
       "1101                    NaN              NaN                  NaN   \n",
       "1102                    NaN              NaN                  NaN   \n",
       "1103                    NaN              NaN                  NaN   \n",
       "1104                    8.0              3.0                  1.0   \n",
       "1105                    NaN              NaN                  NaN   \n",
       "1106                    9.0              5.0                  3.0   \n",
       "1107                    NaN              NaN                  NaN   \n",
       "1108                    9.0              3.0                  0.0   \n",
       "1109                    NaN              NaN                  NaN   \n",
       "1110                    NaN              NaN                  NaN   \n",
       "1111                    NaN              NaN                  NaN   \n",
       "\n",
       "      ADI_R_RSRCH_RELIABLE  ADOS_MODULE  ADOS_TOTAL  ADOS_COMM  ADOS_SOCIAL  \\\n",
       "0                      1.0          4.0        12.0        4.0          8.0   \n",
       "1                      1.0          4.0        13.0        5.0          8.0   \n",
       "2                      1.0          4.0        18.0        6.0         12.0   \n",
       "3                      1.0          4.0        12.0        4.0          8.0   \n",
       "4                      1.0          4.0        12.0        4.0          8.0   \n",
       "5                      1.0          3.0        17.0        5.0         12.0   \n",
       "6                      1.0          NaN        16.0        4.0         12.0   \n",
       "7                      1.0          NaN        10.0        4.0          6.0   \n",
       "8                      1.0          NaN         NaN        NaN          NaN   \n",
       "9                      1.0          NaN        13.0        4.0          9.0   \n",
       "10                     1.0          4.0        12.0        4.0          8.0   \n",
       "11                     1.0          3.0        12.0        4.0          8.0   \n",
       "12                     1.0          3.0        16.0        5.0         11.0   \n",
       "13                     1.0          NaN        19.0        7.0         12.0   \n",
       "14                     1.0          4.0        10.0        4.0          6.0   \n",
       "15                     1.0          4.0        17.0        5.0         12.0   \n",
       "16                     1.0          4.0        13.0        4.0          9.0   \n",
       "17                     1.0          NaN         NaN        NaN          NaN   \n",
       "18                     1.0          4.0        12.0        4.0          8.0   \n",
       "19                     1.0          NaN         NaN        NaN          NaN   \n",
       "20                     1.0          4.0        11.0        5.0          6.0   \n",
       "21                     1.0          4.0         8.0        3.0          5.0   \n",
       "22                     1.0          3.0        13.0        5.0          8.0   \n",
       "23                     1.0          3.0        11.0        2.0          9.0   \n",
       "24                     1.0          NaN         NaN        NaN          NaN   \n",
       "25                     1.0          3.0        13.0        5.0          8.0   \n",
       "26                     NaN          NaN         NaN        NaN          NaN   \n",
       "27                     NaN          NaN         NaN        NaN          NaN   \n",
       "28                     NaN          NaN         NaN        NaN          NaN   \n",
       "29                     NaN          NaN         NaN        NaN          NaN   \n",
       "...                    ...          ...         ...        ...          ...   \n",
       "1082                   NaN          NaN         NaN        NaN          NaN   \n",
       "1083                   NaN          NaN         NaN        NaN          NaN   \n",
       "1084                   NaN          NaN         NaN        NaN          NaN   \n",
       "1085                   NaN          NaN         NaN        NaN          NaN   \n",
       "1086                   NaN          NaN         NaN        NaN          NaN   \n",
       "1087                   NaN          NaN         NaN        NaN          NaN   \n",
       "1088                   NaN          NaN         NaN        NaN          NaN   \n",
       "1089                   NaN          NaN         NaN        NaN          NaN   \n",
       "1090                   NaN          NaN         NaN        NaN          NaN   \n",
       "1091                   NaN          NaN         NaN        NaN          NaN   \n",
       "1092                   NaN          NaN         NaN        NaN          NaN   \n",
       "1093                   NaN          NaN         NaN        NaN          NaN   \n",
       "1094                   NaN          NaN         NaN        NaN          NaN   \n",
       "1095                   0.0          4.0         8.0        4.0          4.0   \n",
       "1096                   0.0          4.0         7.0        2.0          5.0   \n",
       "1097                   0.0          4.0         8.0        3.0          5.0   \n",
       "1098                   0.0          4.0        11.0        5.0          6.0   \n",
       "1099                   0.0          4.0        10.0        3.0          7.0   \n",
       "1100                   NaN          NaN         NaN        NaN          NaN   \n",
       "1101                   NaN          NaN         NaN        NaN          NaN   \n",
       "1102                   NaN          NaN         NaN        NaN          NaN   \n",
       "1103                   NaN          NaN         NaN        NaN          NaN   \n",
       "1104                   0.0          4.0         9.0        3.0          6.0   \n",
       "1105                   NaN          NaN         NaN        NaN          NaN   \n",
       "1106                   0.0          4.0         9.0        2.0          7.0   \n",
       "1107                   NaN          NaN         NaN        NaN          NaN   \n",
       "1108                   0.0          4.0        12.0        4.0          8.0   \n",
       "1109                   NaN          NaN         NaN        NaN          NaN   \n",
       "1110                   NaN          NaN         NaN        NaN          NaN   \n",
       "1111                   NaN          NaN         NaN        NaN          NaN   \n",
       "\n",
       "      ADOS_STEREO_BEHAV  ADOS_RSRCH_RELIABLE  ADOS_GOTHAM_SOCAFFECT  \\\n",
       "0                   3.0                  1.0                    NaN   \n",
       "1                   1.0                  1.0                    NaN   \n",
       "2                   2.0                  1.0                    NaN   \n",
       "3                   1.0                  1.0                    NaN   \n",
       "4                   4.0                  1.0                    NaN   \n",
       "5                   2.0                  1.0                    NaN   \n",
       "6                   NaN                  1.0                    NaN   \n",
       "7                   NaN                  1.0                    NaN   \n",
       "8                   NaN                  1.0                    NaN   \n",
       "9                   NaN                  1.0                    NaN   \n",
       "10                  2.0                  1.0                    NaN   \n",
       "11                  5.0                  1.0                    NaN   \n",
       "12                  3.0                  1.0                    NaN   \n",
       "13                  NaN                  1.0                    NaN   \n",
       "14                  1.0                  1.0                    NaN   \n",
       "15                  2.0                  1.0                    NaN   \n",
       "16                  3.0                  1.0                    NaN   \n",
       "17                  NaN                  1.0                    NaN   \n",
       "18                  2.0                  1.0                    NaN   \n",
       "19                  NaN                  1.0                    NaN   \n",
       "20                  6.0                  1.0                    NaN   \n",
       "21                  3.0                  1.0                    NaN   \n",
       "22                  3.0                  1.0                    NaN   \n",
       "23                  0.0                  1.0                    NaN   \n",
       "24                  NaN                  1.0                    NaN   \n",
       "25                  3.0                  1.0                    NaN   \n",
       "26                  NaN                  NaN                    NaN   \n",
       "27                  NaN                  NaN                    NaN   \n",
       "28                  NaN                  NaN                    NaN   \n",
       "29                  NaN                  NaN                    NaN   \n",
       "...                 ...                  ...                    ...   \n",
       "1082                NaN                  NaN                    NaN   \n",
       "1083                NaN                  NaN                    NaN   \n",
       "1084                NaN                  NaN                    NaN   \n",
       "1085                NaN                  NaN                    NaN   \n",
       "1086                NaN                  NaN                    NaN   \n",
       "1087                NaN                  NaN                    NaN   \n",
       "1088                NaN                  NaN                    NaN   \n",
       "1089                NaN                  NaN                    NaN   \n",
       "1090                NaN                  NaN                    NaN   \n",
       "1091                NaN                  NaN                    NaN   \n",
       "1092                NaN                  NaN                    NaN   \n",
       "1093                NaN                  NaN                    NaN   \n",
       "1094                NaN                  NaN                    NaN   \n",
       "1095                NaN                  0.0                    NaN   \n",
       "1096                NaN                  0.0                    NaN   \n",
       "1097                NaN                  0.0                    NaN   \n",
       "1098                NaN                  0.0                    NaN   \n",
       "1099                NaN                  0.0                    NaN   \n",
       "1100                NaN                  NaN                    NaN   \n",
       "1101                NaN                  NaN                    NaN   \n",
       "1102                NaN                  NaN                    NaN   \n",
       "1103                NaN                  NaN                    NaN   \n",
       "1104                NaN                  0.0                    NaN   \n",
       "1105                NaN                  NaN                    NaN   \n",
       "1106                NaN                  0.0                    NaN   \n",
       "1107                NaN                  NaN                    NaN   \n",
       "1108                NaN                  0.0                    NaN   \n",
       "1109                NaN                  NaN                    NaN   \n",
       "1110                NaN                  NaN                    NaN   \n",
       "1111                NaN                  NaN                    NaN   \n",
       "\n",
       "      ADOS_GOTHAM_RRB  ADOS_GOTHAM_TOTAL  ADOS_GOTHAM_SEVERITY  SRS_VERSION  \\\n",
       "0                 NaN                NaN                   NaN          NaN   \n",
       "1                 NaN                NaN                   NaN          NaN   \n",
       "2                 NaN                NaN                   NaN          NaN   \n",
       "3                 NaN                NaN                   NaN          NaN   \n",
       "4                 NaN                NaN                   NaN          NaN   \n",
       "5                 NaN                NaN                   NaN          NaN   \n",
       "6                 NaN                NaN                   NaN          NaN   \n",
       "7                 NaN                NaN                   NaN          NaN   \n",
       "8                 NaN                NaN                   NaN          NaN   \n",
       "9                 NaN                NaN                   NaN          NaN   \n",
       "10                NaN                NaN                   NaN          NaN   \n",
       "11                NaN                NaN                   NaN          NaN   \n",
       "12                NaN                NaN                   NaN          NaN   \n",
       "13                NaN                NaN                   NaN          NaN   \n",
       "14                NaN                NaN                   NaN          NaN   \n",
       "15                NaN                NaN                   NaN          NaN   \n",
       "16                NaN                NaN                   NaN          NaN   \n",
       "17                NaN                NaN                   NaN          NaN   \n",
       "18                NaN                NaN                   NaN          NaN   \n",
       "19                NaN                NaN                   NaN          NaN   \n",
       "20                NaN                NaN                   NaN          NaN   \n",
       "21                NaN                NaN                   NaN          NaN   \n",
       "22                NaN                NaN                   NaN          NaN   \n",
       "23                NaN                NaN                   NaN          NaN   \n",
       "24                NaN                NaN                   NaN          NaN   \n",
       "25                NaN                NaN                   NaN          NaN   \n",
       "26                NaN                NaN                   NaN          NaN   \n",
       "27                NaN                NaN                   NaN          NaN   \n",
       "28                NaN                NaN                   NaN          NaN   \n",
       "29                NaN                NaN                   NaN          NaN   \n",
       "...               ...                ...                   ...          ...   \n",
       "1082              NaN                NaN                   NaN          NaN   \n",
       "1083              NaN                NaN                   NaN          NaN   \n",
       "1084              NaN                NaN                   NaN          NaN   \n",
       "1085              NaN                NaN                   NaN          NaN   \n",
       "1086              NaN                NaN                   NaN          NaN   \n",
       "1087              NaN                NaN                   NaN          NaN   \n",
       "1088              NaN                NaN                   NaN          NaN   \n",
       "1089              NaN                NaN                   NaN          NaN   \n",
       "1090              NaN                NaN                   NaN          NaN   \n",
       "1091              NaN                NaN                   NaN          NaN   \n",
       "1092              NaN                NaN                   NaN          NaN   \n",
       "1093              NaN                NaN                   NaN          NaN   \n",
       "1094              NaN                NaN                   NaN          NaN   \n",
       "1095              NaN                NaN                   NaN          NaN   \n",
       "1096              NaN                NaN                   NaN          NaN   \n",
       "1097              NaN                NaN                   NaN          NaN   \n",
       "1098              NaN                NaN                   NaN          NaN   \n",
       "1099              NaN                NaN                   NaN          NaN   \n",
       "1100              NaN                NaN                   NaN          NaN   \n",
       "1101              NaN                NaN                   NaN          NaN   \n",
       "1102              NaN                NaN                   NaN          NaN   \n",
       "1103              NaN                NaN                   NaN          NaN   \n",
       "1104              NaN                NaN                   NaN          NaN   \n",
       "1105              NaN                NaN                   NaN          NaN   \n",
       "1106              NaN                NaN                   NaN          NaN   \n",
       "1107              NaN                NaN                   NaN          NaN   \n",
       "1108              NaN                NaN                   NaN          NaN   \n",
       "1109              NaN                NaN                   NaN          NaN   \n",
       "1110              NaN                NaN                   NaN          NaN   \n",
       "1111              NaN                NaN                   NaN          NaN   \n",
       "\n",
       "      SRS_RAW_TOTAL  SRS_AWARENESS  SRS_COGNITION  SRS_COMMUNICATION  \\\n",
       "0               NaN            NaN            NaN                NaN   \n",
       "1               NaN            NaN            NaN                NaN   \n",
       "2               NaN            NaN            NaN                NaN   \n",
       "3               NaN            NaN            NaN                NaN   \n",
       "4               NaN            NaN            NaN                NaN   \n",
       "5               NaN            NaN            NaN                NaN   \n",
       "6               NaN            NaN            NaN                NaN   \n",
       "7               NaN            NaN            NaN                NaN   \n",
       "8               NaN            NaN            NaN                NaN   \n",
       "9               NaN            NaN            NaN                NaN   \n",
       "10              NaN            NaN            NaN                NaN   \n",
       "11              NaN            NaN            NaN                NaN   \n",
       "12              NaN            NaN            NaN                NaN   \n",
       "13              NaN            NaN            NaN                NaN   \n",
       "14              NaN            NaN            NaN                NaN   \n",
       "15              NaN            NaN            NaN                NaN   \n",
       "16              NaN            NaN            NaN                NaN   \n",
       "17              NaN            NaN            NaN                NaN   \n",
       "18              NaN            NaN            NaN                NaN   \n",
       "19              NaN            NaN            NaN                NaN   \n",
       "20              NaN            NaN            NaN                NaN   \n",
       "21              NaN            NaN            NaN                NaN   \n",
       "22              NaN            NaN            NaN                NaN   \n",
       "23              NaN            NaN            NaN                NaN   \n",
       "24              NaN            NaN            NaN                NaN   \n",
       "25              NaN            NaN            NaN                NaN   \n",
       "26              NaN            NaN            NaN                NaN   \n",
       "27              NaN            NaN            NaN                NaN   \n",
       "28              NaN            NaN            NaN                NaN   \n",
       "29              NaN            NaN            NaN                NaN   \n",
       "...             ...            ...            ...                ...   \n",
       "1082            NaN            NaN            NaN                NaN   \n",
       "1083            NaN            NaN            NaN                NaN   \n",
       "1084            NaN            NaN            NaN                NaN   \n",
       "1085            NaN            NaN            NaN                NaN   \n",
       "1086            NaN            NaN            NaN                NaN   \n",
       "1087            NaN            NaN            NaN                NaN   \n",
       "1088            NaN            NaN            NaN                NaN   \n",
       "1089            NaN            NaN            NaN                NaN   \n",
       "1090            NaN            NaN            NaN                NaN   \n",
       "1091            NaN            NaN            NaN                NaN   \n",
       "1092            NaN            NaN            NaN                NaN   \n",
       "1093            NaN            NaN            NaN                NaN   \n",
       "1094            NaN            NaN            NaN                NaN   \n",
       "1095            NaN            NaN            NaN                NaN   \n",
       "1096            NaN            NaN            NaN                NaN   \n",
       "1097            NaN            NaN            NaN                NaN   \n",
       "1098            NaN            NaN            NaN                NaN   \n",
       "1099            NaN            NaN            NaN                NaN   \n",
       "1100            NaN            NaN            NaN                NaN   \n",
       "1101            NaN            NaN            NaN                NaN   \n",
       "1102            NaN            NaN            NaN                NaN   \n",
       "1103            NaN            NaN            NaN                NaN   \n",
       "1104            NaN            NaN            NaN                NaN   \n",
       "1105            NaN            NaN            NaN                NaN   \n",
       "1106            NaN            NaN            NaN                NaN   \n",
       "1107            NaN            NaN            NaN                NaN   \n",
       "1108            NaN            NaN            NaN                NaN   \n",
       "1109            NaN            NaN            NaN                NaN   \n",
       "1110            NaN            NaN            NaN                NaN   \n",
       "1111            NaN            NaN            NaN                NaN   \n",
       "\n",
       "      SRS_MOTIVATION  SRS_MANNERISMS  SCQ_TOTAL  AQ_TOTAL       COMORBIDITY  \\\n",
       "0                NaN             NaN        NaN       NaN               NaN   \n",
       "1                NaN             NaN        NaN       NaN               NaN   \n",
       "2                NaN             NaN        NaN       NaN               NaN   \n",
       "3                NaN             NaN        NaN       NaN               NaN   \n",
       "4                NaN             NaN        NaN       NaN               NaN   \n",
       "5                NaN             NaN        NaN       NaN               NaN   \n",
       "6                NaN             NaN        NaN       NaN               NaN   \n",
       "7                NaN             NaN        NaN       NaN               NaN   \n",
       "8                NaN             NaN        NaN       NaN               NaN   \n",
       "9                NaN             NaN        NaN       NaN               NaN   \n",
       "10               NaN             NaN        NaN       NaN               NaN   \n",
       "11               NaN             NaN        NaN       NaN               NaN   \n",
       "12               NaN             NaN        NaN       NaN               NaN   \n",
       "13               NaN             NaN        NaN       NaN               NaN   \n",
       "14               NaN             NaN        NaN       NaN               NaN   \n",
       "15               NaN             NaN        NaN       NaN               NaN   \n",
       "16               NaN             NaN        NaN       NaN               NaN   \n",
       "17               NaN             NaN        NaN       NaN               NaN   \n",
       "18               NaN             NaN        NaN       NaN               NaN   \n",
       "19               NaN             NaN        NaN       NaN               NaN   \n",
       "20               NaN             NaN        NaN       NaN               NaN   \n",
       "21               NaN             NaN        NaN       NaN               NaN   \n",
       "22               NaN             NaN        NaN       NaN               NaN   \n",
       "23               NaN             NaN        NaN       NaN               NaN   \n",
       "24               NaN             NaN        NaN       NaN               NaN   \n",
       "25               NaN             NaN        NaN       NaN               NaN   \n",
       "26               NaN             NaN        NaN       NaN               NaN   \n",
       "27               NaN             NaN        NaN       NaN               NaN   \n",
       "28               NaN             NaN        NaN       NaN               NaN   \n",
       "29               NaN             NaN        NaN       NaN               NaN   \n",
       "...              ...             ...        ...       ...               ...   \n",
       "1082             NaN             NaN        NaN       7.0               NaN   \n",
       "1083             NaN             NaN        NaN      14.0               NaN   \n",
       "1084             NaN             NaN        NaN      11.0               NaN   \n",
       "1085             NaN             NaN        NaN      12.0               NaN   \n",
       "1086             NaN             NaN        NaN      17.0               NaN   \n",
       "1087             NaN             NaN        NaN      24.0               NaN   \n",
       "1088             NaN             NaN        NaN      20.0               NaN   \n",
       "1089             NaN             NaN        NaN       NaN               NaN   \n",
       "1090             NaN             NaN        NaN      17.0               NaN   \n",
       "1091             NaN             NaN        NaN      12.0               NaN   \n",
       "1092             NaN             NaN        NaN      15.0               NaN   \n",
       "1093             NaN             NaN        NaN      11.0               NaN   \n",
       "1094             NaN             NaN        NaN       9.0               NaN   \n",
       "1095             NaN             NaN        NaN      33.0              None   \n",
       "1096             NaN             NaN        NaN      28.0              None   \n",
       "1097             NaN             NaN        NaN       NaN             -9999   \n",
       "1098             NaN             NaN        NaN      26.0              None   \n",
       "1099             NaN             NaN        NaN      36.0              None   \n",
       "1100             NaN             NaN        NaN      42.0              None   \n",
       "1101             NaN             NaN        NaN      20.0  ADHD Inattentive   \n",
       "1102             NaN             NaN        NaN      36.0              None   \n",
       "1103             NaN             NaN        NaN      15.0              None   \n",
       "1104             NaN             NaN        NaN      39.0              None   \n",
       "1105             NaN             NaN        NaN      24.0              None   \n",
       "1106             NaN             NaN        NaN      31.0              None   \n",
       "1107             NaN             NaN        NaN      41.0              None   \n",
       "1108             NaN             NaN        NaN      39.0              None   \n",
       "1109             NaN             NaN        NaN      25.0              None   \n",
       "1110             NaN             NaN        NaN       NaN               NaN   \n",
       "1111             NaN             NaN        NaN       NaN               NaN   \n",
       "\n",
       "     CURRENT_MED_STATUS                                    MEDICATION_NAME  \\\n",
       "0                     0                                                NaN   \n",
       "1                     1                                         Fluoxetine   \n",
       "2                     0                                                NaN   \n",
       "3                     1                                         Fluoxetine   \n",
       "4                     0                                                NaN   \n",
       "5                     0                                                NaN   \n",
       "6                     1                                         Sertraline   \n",
       "7                     1                                       Pantoprazole   \n",
       "8                     0                                                NaN   \n",
       "9                     0                                                NaN   \n",
       "10                    0                                                NaN   \n",
       "11                    0                                                NaN   \n",
       "12                    1                                        Atomoxetine   \n",
       "13                    0                                                NaN   \n",
       "14                    0                                                NaN   \n",
       "15                    0                                                NaN   \n",
       "16                    1                        Methylphenidate; Citalopram   \n",
       "17                    1                                   Lisdexamfetamine   \n",
       "18                    0                                                NaN   \n",
       "19                    0                                                NaN   \n",
       "20                    0                                                NaN   \n",
       "21                    0                                                NaN   \n",
       "22                    1  Sertraline; Risperidone; Dextroamphetamine and...   \n",
       "23                    0                                                NaN   \n",
       "24                    0                                                NaN   \n",
       "25                    0                                                NaN   \n",
       "26                    0                                                NaN   \n",
       "27                    0                                                NaN   \n",
       "28                    0                                                NaN   \n",
       "29                    0                                                NaN   \n",
       "...                 ...                                                ...   \n",
       "1082                  0                                                NaN   \n",
       "1083                  0                                                NaN   \n",
       "1084                  0                                                NaN   \n",
       "1085                  0                                                NaN   \n",
       "1086                  0                                                NaN   \n",
       "1087                  0                                                NaN   \n",
       "1088                  0                                                NaN   \n",
       "1089                  0                                                NaN   \n",
       "1090                  0                                                NaN   \n",
       "1091                  0                                                NaN   \n",
       "1092                  0                                                NaN   \n",
       "1093                  0                                                NaN   \n",
       "1094                  0                                                NaN   \n",
       "1095                  1                                     Antidepressant   \n",
       "1096                  0                                                NaN   \n",
       "1097                  0                                                NaN   \n",
       "1098                  0                                                NaN   \n",
       "1099                  0                                                NaN   \n",
       "1100                  0                                                NaN   \n",
       "1101                  1          Atomoxetine; Risperidone; Methylphenydate   \n",
       "1102                  0                                                NaN   \n",
       "1103                  0                                                NaN   \n",
       "1104                  0                                                NaN   \n",
       "1105                  0                                                NaN   \n",
       "1106                  0                                                NaN   \n",
       "1107                  0                                                NaN   \n",
       "1108                  0                                                NaN   \n",
       "1109                  0                                                NaN   \n",
       "1110                  0                                                NaN   \n",
       "1111                  0                                                NaN   \n",
       "\n",
       "      OFF_STIMULANTS_AT_SCAN  VINELAND_RECEPTIVE_V_SCALED  \\\n",
       "0                        NaN                          NaN   \n",
       "1                        NaN                          NaN   \n",
       "2                        NaN                          NaN   \n",
       "3                        NaN                          NaN   \n",
       "4                        NaN                          NaN   \n",
       "5                        NaN                          NaN   \n",
       "6                        NaN                          NaN   \n",
       "7                        NaN                          NaN   \n",
       "8                        NaN                          NaN   \n",
       "9                        NaN                          NaN   \n",
       "10                       NaN                          NaN   \n",
       "11                       NaN                          NaN   \n",
       "12                       NaN                          NaN   \n",
       "13                       NaN                          NaN   \n",
       "14                       NaN                          NaN   \n",
       "15                       NaN                          NaN   \n",
       "16                       0.0                          NaN   \n",
       "17                       NaN                          NaN   \n",
       "18                       NaN                          NaN   \n",
       "19                       NaN                          NaN   \n",
       "20                       NaN                          NaN   \n",
       "21                       NaN                          NaN   \n",
       "22                       0.0                          NaN   \n",
       "23                       NaN                          NaN   \n",
       "24                       NaN                          NaN   \n",
       "25                       NaN                          NaN   \n",
       "26                       NaN                          NaN   \n",
       "27                       NaN                          NaN   \n",
       "28                       NaN                          NaN   \n",
       "29                       NaN                          NaN   \n",
       "...                      ...                          ...   \n",
       "1082                     NaN                          NaN   \n",
       "1083                     NaN                          NaN   \n",
       "1084                     NaN                          NaN   \n",
       "1085                     NaN                          NaN   \n",
       "1086                     NaN                          NaN   \n",
       "1087                     NaN                          NaN   \n",
       "1088                     NaN                          NaN   \n",
       "1089                     NaN                          NaN   \n",
       "1090                     NaN                          NaN   \n",
       "1091                     NaN                          NaN   \n",
       "1092                     NaN                          NaN   \n",
       "1093                     NaN                          NaN   \n",
       "1094                     NaN                          NaN   \n",
       "1095                     NaN                          NaN   \n",
       "1096                     NaN                          NaN   \n",
       "1097                     NaN                          NaN   \n",
       "1098                     NaN                          NaN   \n",
       "1099                     NaN                          NaN   \n",
       "1100                     NaN                          NaN   \n",
       "1101                     0.0                          NaN   \n",
       "1102                     NaN                          NaN   \n",
       "1103                     NaN                          NaN   \n",
       "1104                     NaN                          NaN   \n",
       "1105                     NaN                          NaN   \n",
       "1106                     NaN                          NaN   \n",
       "1107                     NaN                          NaN   \n",
       "1108                     NaN                          NaN   \n",
       "1109                     NaN                          NaN   \n",
       "1110                     NaN                          NaN   \n",
       "1111                     NaN                          NaN   \n",
       "\n",
       "      VINELAND_EXPRESSIVE_V_SCALED  VINELAND_WRITTEN_V_SCALED  \\\n",
       "0                              NaN                        NaN   \n",
       "1                              NaN                        NaN   \n",
       "2                              NaN                        NaN   \n",
       "3                              NaN                        NaN   \n",
       "4                              NaN                        NaN   \n",
       "5                              NaN                        NaN   \n",
       "6                              NaN                        NaN   \n",
       "7                              NaN                        NaN   \n",
       "8                              NaN                        NaN   \n",
       "9                              NaN                        NaN   \n",
       "10                             NaN                        NaN   \n",
       "11                             NaN                        NaN   \n",
       "12                             NaN                        NaN   \n",
       "13                             NaN                        NaN   \n",
       "14                             NaN                        NaN   \n",
       "15                             NaN                        NaN   \n",
       "16                             NaN                        NaN   \n",
       "17                             NaN                        NaN   \n",
       "18                             NaN                        NaN   \n",
       "19                             NaN                        NaN   \n",
       "20                             NaN                        NaN   \n",
       "21                             NaN                        NaN   \n",
       "22                             NaN                        NaN   \n",
       "23                             NaN                        NaN   \n",
       "24                             NaN                        NaN   \n",
       "25                             NaN                        NaN   \n",
       "26                             NaN                        NaN   \n",
       "27                             NaN                        NaN   \n",
       "28                             NaN                        NaN   \n",
       "29                             NaN                        NaN   \n",
       "...                            ...                        ...   \n",
       "1082                           NaN                        NaN   \n",
       "1083                           NaN                        NaN   \n",
       "1084                           NaN                        NaN   \n",
       "1085                           NaN                        NaN   \n",
       "1086                           NaN                        NaN   \n",
       "1087                           NaN                        NaN   \n",
       "1088                           NaN                        NaN   \n",
       "1089                           NaN                        NaN   \n",
       "1090                           NaN                        NaN   \n",
       "1091                           NaN                        NaN   \n",
       "1092                           NaN                        NaN   \n",
       "1093                           NaN                        NaN   \n",
       "1094                           NaN                        NaN   \n",
       "1095                           NaN                        NaN   \n",
       "1096                           NaN                        NaN   \n",
       "1097                           NaN                        NaN   \n",
       "1098                           NaN                        NaN   \n",
       "1099                           NaN                        NaN   \n",
       "1100                           NaN                        NaN   \n",
       "1101                           NaN                        NaN   \n",
       "1102                           NaN                        NaN   \n",
       "1103                           NaN                        NaN   \n",
       "1104                           NaN                        NaN   \n",
       "1105                           NaN                        NaN   \n",
       "1106                           NaN                        NaN   \n",
       "1107                           NaN                        NaN   \n",
       "1108                           NaN                        NaN   \n",
       "1109                           NaN                        NaN   \n",
       "1110                           NaN                        NaN   \n",
       "1111                           NaN                        NaN   \n",
       "\n",
       "      VINELAND_COMMUNICATION_STANDARD  VINELAND_PERSONAL_V_SCALED  \\\n",
       "0                                 NaN                         NaN   \n",
       "1                                 NaN                         NaN   \n",
       "2                                 NaN                         NaN   \n",
       "3                                 NaN                         NaN   \n",
       "4                                 NaN                         NaN   \n",
       "5                                 NaN                         NaN   \n",
       "6                                 NaN                         NaN   \n",
       "7                                 NaN                         NaN   \n",
       "8                                 NaN                         NaN   \n",
       "9                                 NaN                         NaN   \n",
       "10                                NaN                         NaN   \n",
       "11                                NaN                         NaN   \n",
       "12                                NaN                         NaN   \n",
       "13                                NaN                         NaN   \n",
       "14                                NaN                         NaN   \n",
       "15                                NaN                         NaN   \n",
       "16                                NaN                         NaN   \n",
       "17                                NaN                         NaN   \n",
       "18                                NaN                         NaN   \n",
       "19                                NaN                         NaN   \n",
       "20                                NaN                         NaN   \n",
       "21                                NaN                         NaN   \n",
       "22                                NaN                         NaN   \n",
       "23                                NaN                         NaN   \n",
       "24                                NaN                         NaN   \n",
       "25                                NaN                         NaN   \n",
       "26                                NaN                         NaN   \n",
       "27                                NaN                         NaN   \n",
       "28                                NaN                         NaN   \n",
       "29                                NaN                         NaN   \n",
       "...                               ...                         ...   \n",
       "1082                              NaN                         NaN   \n",
       "1083                              NaN                         NaN   \n",
       "1084                              NaN                         NaN   \n",
       "1085                              NaN                         NaN   \n",
       "1086                              NaN                         NaN   \n",
       "1087                              NaN                         NaN   \n",
       "1088                              NaN                         NaN   \n",
       "1089                              NaN                         NaN   \n",
       "1090                              NaN                         NaN   \n",
       "1091                              NaN                         NaN   \n",
       "1092                              NaN                         NaN   \n",
       "1093                              NaN                         NaN   \n",
       "1094                              NaN                         NaN   \n",
       "1095                              NaN                         NaN   \n",
       "1096                              NaN                         NaN   \n",
       "1097                              NaN                         NaN   \n",
       "1098                              NaN                         NaN   \n",
       "1099                              NaN                         NaN   \n",
       "1100                              NaN                         NaN   \n",
       "1101                              NaN                         NaN   \n",
       "1102                              NaN                         NaN   \n",
       "1103                              NaN                         NaN   \n",
       "1104                              NaN                         NaN   \n",
       "1105                              NaN                         NaN   \n",
       "1106                              NaN                         NaN   \n",
       "1107                              NaN                         NaN   \n",
       "1108                              NaN                         NaN   \n",
       "1109                              NaN                         NaN   \n",
       "1110                              NaN                         NaN   \n",
       "1111                              NaN                         NaN   \n",
       "\n",
       "      VINELAND_DOMESTIC_V_SCALED  VINELAND_COMMUNITY_V_SCALED  \\\n",
       "0                            NaN                          NaN   \n",
       "1                            NaN                          NaN   \n",
       "2                            NaN                          NaN   \n",
       "3                            NaN                          NaN   \n",
       "4                            NaN                          NaN   \n",
       "5                            NaN                          NaN   \n",
       "6                            NaN                          NaN   \n",
       "7                            NaN                          NaN   \n",
       "8                            NaN                          NaN   \n",
       "9                            NaN                          NaN   \n",
       "10                           NaN                          NaN   \n",
       "11                           NaN                          NaN   \n",
       "12                           NaN                          NaN   \n",
       "13                           NaN                          NaN   \n",
       "14                           NaN                          NaN   \n",
       "15                           NaN                          NaN   \n",
       "16                           NaN                          NaN   \n",
       "17                           NaN                          NaN   \n",
       "18                           NaN                          NaN   \n",
       "19                           NaN                          NaN   \n",
       "20                           NaN                          NaN   \n",
       "21                           NaN                          NaN   \n",
       "22                           NaN                          NaN   \n",
       "23                           NaN                          NaN   \n",
       "24                           NaN                          NaN   \n",
       "25                           NaN                          NaN   \n",
       "26                           NaN                          NaN   \n",
       "27                           NaN                          NaN   \n",
       "28                           NaN                          NaN   \n",
       "29                           NaN                          NaN   \n",
       "...                          ...                          ...   \n",
       "1082                         NaN                          NaN   \n",
       "1083                         NaN                          NaN   \n",
       "1084                         NaN                          NaN   \n",
       "1085                         NaN                          NaN   \n",
       "1086                         NaN                          NaN   \n",
       "1087                         NaN                          NaN   \n",
       "1088                         NaN                          NaN   \n",
       "1089                         NaN                          NaN   \n",
       "1090                         NaN                          NaN   \n",
       "1091                         NaN                          NaN   \n",
       "1092                         NaN                          NaN   \n",
       "1093                         NaN                          NaN   \n",
       "1094                         NaN                          NaN   \n",
       "1095                         NaN                          NaN   \n",
       "1096                         NaN                          NaN   \n",
       "1097                         NaN                          NaN   \n",
       "1098                         NaN                          NaN   \n",
       "1099                         NaN                          NaN   \n",
       "1100                         NaN                          NaN   \n",
       "1101                         NaN                          NaN   \n",
       "1102                         NaN                          NaN   \n",
       "1103                         NaN                          NaN   \n",
       "1104                         NaN                          NaN   \n",
       "1105                         NaN                          NaN   \n",
       "1106                         NaN                          NaN   \n",
       "1107                         NaN                          NaN   \n",
       "1108                         NaN                          NaN   \n",
       "1109                         NaN                          NaN   \n",
       "1110                         NaN                          NaN   \n",
       "1111                         NaN                          NaN   \n",
       "\n",
       "      VINELAND_DAILYLVNG_STANDARD  VINELAND_INTERPERSONAL_V_SCALED  \\\n",
       "0                             NaN                              NaN   \n",
       "1                             NaN                              NaN   \n",
       "2                             NaN                              NaN   \n",
       "3                             NaN                              NaN   \n",
       "4                             NaN                              NaN   \n",
       "5                             NaN                              NaN   \n",
       "6                             NaN                              NaN   \n",
       "7                             NaN                              NaN   \n",
       "8                             NaN                              NaN   \n",
       "9                             NaN                              NaN   \n",
       "10                            NaN                              NaN   \n",
       "11                            NaN                              NaN   \n",
       "12                            NaN                              NaN   \n",
       "13                            NaN                              NaN   \n",
       "14                            NaN                              NaN   \n",
       "15                            NaN                              NaN   \n",
       "16                            NaN                              NaN   \n",
       "17                            NaN                              NaN   \n",
       "18                            NaN                              NaN   \n",
       "19                            NaN                              NaN   \n",
       "20                            NaN                              NaN   \n",
       "21                            NaN                              NaN   \n",
       "22                            NaN                              NaN   \n",
       "23                            NaN                              NaN   \n",
       "24                            NaN                              NaN   \n",
       "25                            NaN                              NaN   \n",
       "26                            NaN                              NaN   \n",
       "27                            NaN                              NaN   \n",
       "28                            NaN                              NaN   \n",
       "29                            NaN                              NaN   \n",
       "...                           ...                              ...   \n",
       "1082                          NaN                              NaN   \n",
       "1083                          NaN                              NaN   \n",
       "1084                          NaN                              NaN   \n",
       "1085                          NaN                              NaN   \n",
       "1086                          NaN                              NaN   \n",
       "1087                          NaN                              NaN   \n",
       "1088                          NaN                              NaN   \n",
       "1089                          NaN                              NaN   \n",
       "1090                          NaN                              NaN   \n",
       "1091                          NaN                              NaN   \n",
       "1092                          NaN                              NaN   \n",
       "1093                          NaN                              NaN   \n",
       "1094                          NaN                              NaN   \n",
       "1095                          NaN                              NaN   \n",
       "1096                          NaN                              NaN   \n",
       "1097                          NaN                              NaN   \n",
       "1098                          NaN                              NaN   \n",
       "1099                          NaN                              NaN   \n",
       "1100                          NaN                              NaN   \n",
       "1101                          NaN                              NaN   \n",
       "1102                          NaN                              NaN   \n",
       "1103                          NaN                              NaN   \n",
       "1104                          NaN                              NaN   \n",
       "1105                          NaN                              NaN   \n",
       "1106                          NaN                              NaN   \n",
       "1107                          NaN                              NaN   \n",
       "1108                          NaN                              NaN   \n",
       "1109                          NaN                              NaN   \n",
       "1110                          NaN                              NaN   \n",
       "1111                          NaN                              NaN   \n",
       "\n",
       "      VINELAND_PLAY_V_SCALED  VINELAND_COPING_V_SCALED  \\\n",
       "0                        NaN                       NaN   \n",
       "1                        NaN                       NaN   \n",
       "2                        NaN                       NaN   \n",
       "3                        NaN                       NaN   \n",
       "4                        NaN                       NaN   \n",
       "5                        NaN                       NaN   \n",
       "6                        NaN                       NaN   \n",
       "7                        NaN                       NaN   \n",
       "8                        NaN                       NaN   \n",
       "9                        NaN                       NaN   \n",
       "10                       NaN                       NaN   \n",
       "11                       NaN                       NaN   \n",
       "12                       NaN                       NaN   \n",
       "13                       NaN                       NaN   \n",
       "14                       NaN                       NaN   \n",
       "15                       NaN                       NaN   \n",
       "16                       NaN                       NaN   \n",
       "17                       NaN                       NaN   \n",
       "18                       NaN                       NaN   \n",
       "19                       NaN                       NaN   \n",
       "20                       NaN                       NaN   \n",
       "21                       NaN                       NaN   \n",
       "22                       NaN                       NaN   \n",
       "23                       NaN                       NaN   \n",
       "24                       NaN                       NaN   \n",
       "25                       NaN                       NaN   \n",
       "26                       NaN                       NaN   \n",
       "27                       NaN                       NaN   \n",
       "28                       NaN                       NaN   \n",
       "29                       NaN                       NaN   \n",
       "...                      ...                       ...   \n",
       "1082                     NaN                       NaN   \n",
       "1083                     NaN                       NaN   \n",
       "1084                     NaN                       NaN   \n",
       "1085                     NaN                       NaN   \n",
       "1086                     NaN                       NaN   \n",
       "1087                     NaN                       NaN   \n",
       "1088                     NaN                       NaN   \n",
       "1089                     NaN                       NaN   \n",
       "1090                     NaN                       NaN   \n",
       "1091                     NaN                       NaN   \n",
       "1092                     NaN                       NaN   \n",
       "1093                     NaN                       NaN   \n",
       "1094                     NaN                       NaN   \n",
       "1095                     NaN                       NaN   \n",
       "1096                     NaN                       NaN   \n",
       "1097                     NaN                       NaN   \n",
       "1098                     NaN                       NaN   \n",
       "1099                     NaN                       NaN   \n",
       "1100                     NaN                       NaN   \n",
       "1101                     NaN                       NaN   \n",
       "1102                     NaN                       NaN   \n",
       "1103                     NaN                       NaN   \n",
       "1104                     NaN                       NaN   \n",
       "1105                     NaN                       NaN   \n",
       "1106                     NaN                       NaN   \n",
       "1107                     NaN                       NaN   \n",
       "1108                     NaN                       NaN   \n",
       "1109                     NaN                       NaN   \n",
       "1110                     NaN                       NaN   \n",
       "1111                     NaN                       NaN   \n",
       "\n",
       "      VINELAND_SOCIAL_STANDARD  VINELAND_SUM_SCORES  VINELAND_ABC_STANDARD  \\\n",
       "0                          NaN                  NaN                    NaN   \n",
       "1                          NaN                  NaN                    NaN   \n",
       "2                          NaN                  NaN                    NaN   \n",
       "3                          NaN                  NaN                    NaN   \n",
       "4                          NaN                  NaN                    NaN   \n",
       "5                          NaN                  NaN                    NaN   \n",
       "6                          NaN                  NaN                    NaN   \n",
       "7                          NaN                  NaN                    NaN   \n",
       "8                          NaN                  NaN                    NaN   \n",
       "9                          NaN                  NaN                    NaN   \n",
       "10                         NaN                  NaN                    NaN   \n",
       "11                         NaN                  NaN                    NaN   \n",
       "12                         NaN                  NaN                    NaN   \n",
       "13                         NaN                  NaN                    NaN   \n",
       "14                         NaN                  NaN                    NaN   \n",
       "15                         NaN                  NaN                    NaN   \n",
       "16                         NaN                  NaN                    NaN   \n",
       "17                         NaN                  NaN                    NaN   \n",
       "18                         NaN                  NaN                    NaN   \n",
       "19                         NaN                  NaN                    NaN   \n",
       "20                         NaN                  NaN                    NaN   \n",
       "21                         NaN                  NaN                    NaN   \n",
       "22                         NaN                  NaN                    NaN   \n",
       "23                         NaN                  NaN                    NaN   \n",
       "24                         NaN                  NaN                    NaN   \n",
       "25                         NaN                  NaN                    NaN   \n",
       "26                         NaN                  NaN                    NaN   \n",
       "27                         NaN                  NaN                    NaN   \n",
       "28                         NaN                  NaN                    NaN   \n",
       "29                         NaN                  NaN                    NaN   \n",
       "...                        ...                  ...                    ...   \n",
       "1082                       NaN                  NaN                    NaN   \n",
       "1083                       NaN                  NaN                    NaN   \n",
       "1084                       NaN                  NaN                    NaN   \n",
       "1085                       NaN                  NaN                    NaN   \n",
       "1086                       NaN                  NaN                    NaN   \n",
       "1087                       NaN                  NaN                    NaN   \n",
       "1088                       NaN                  NaN                    NaN   \n",
       "1089                       NaN                  NaN                    NaN   \n",
       "1090                       NaN                  NaN                    NaN   \n",
       "1091                       NaN                  NaN                    NaN   \n",
       "1092                       NaN                  NaN                    NaN   \n",
       "1093                       NaN                  NaN                    NaN   \n",
       "1094                       NaN                  NaN                    NaN   \n",
       "1095                       NaN                  NaN                    NaN   \n",
       "1096                       NaN                  NaN                    NaN   \n",
       "1097                       NaN                  NaN                    NaN   \n",
       "1098                       NaN                  NaN                    NaN   \n",
       "1099                       NaN                  NaN                    NaN   \n",
       "1100                       NaN                  NaN                    NaN   \n",
       "1101                       NaN                  NaN                    NaN   \n",
       "1102                       NaN                  NaN                    NaN   \n",
       "1103                       NaN                  NaN                    NaN   \n",
       "1104                       NaN                  NaN                    NaN   \n",
       "1105                       NaN                  NaN                    NaN   \n",
       "1106                       NaN                  NaN                    NaN   \n",
       "1107                       NaN                  NaN                    NaN   \n",
       "1108                       NaN                  NaN                    NaN   \n",
       "1109                       NaN                  NaN                    NaN   \n",
       "1110                       NaN                  NaN                    NaN   \n",
       "1111                       NaN                  NaN                    NaN   \n",
       "\n",
       "      VINELAND_INFORMANT  WISC_IV_VCI  WISC_IV_PRI  WISC_IV_WMI  WISC_IV_PSI  \\\n",
       "0                    NaN          NaN          NaN          NaN          NaN   \n",
       "1                    NaN          NaN          NaN          NaN          NaN   \n",
       "2                    NaN          NaN          NaN          NaN          NaN   \n",
       "3                    NaN          NaN          NaN          NaN          NaN   \n",
       "4                    NaN          NaN          NaN          NaN          NaN   \n",
       "5                    NaN          NaN          NaN          NaN          NaN   \n",
       "6                    NaN          NaN          NaN          NaN          NaN   \n",
       "7                    NaN          NaN          NaN          NaN          NaN   \n",
       "8                    NaN          NaN          NaN          NaN          NaN   \n",
       "9                    NaN          NaN          NaN          NaN          NaN   \n",
       "10                   NaN          NaN          NaN          NaN          NaN   \n",
       "11                   NaN          NaN          NaN          NaN          NaN   \n",
       "12                   NaN          NaN          NaN          NaN          NaN   \n",
       "13                   NaN          NaN          NaN          NaN          NaN   \n",
       "14                   NaN          NaN          NaN          NaN          NaN   \n",
       "15                   NaN          NaN          NaN          NaN          NaN   \n",
       "16                   NaN          NaN          NaN          NaN          NaN   \n",
       "17                   NaN          NaN          NaN          NaN          NaN   \n",
       "18                   NaN          NaN          NaN          NaN          NaN   \n",
       "19                   NaN          NaN          NaN          NaN          NaN   \n",
       "20                   NaN          NaN          NaN          NaN          NaN   \n",
       "21                   NaN          NaN          NaN          NaN          NaN   \n",
       "22                   NaN          NaN          NaN          NaN          NaN   \n",
       "23                   NaN          NaN          NaN          NaN          NaN   \n",
       "24                   NaN          NaN          NaN          NaN          NaN   \n",
       "25                   NaN          NaN          NaN          NaN          NaN   \n",
       "26                   NaN          NaN          NaN          NaN          NaN   \n",
       "27                   NaN          NaN          NaN          NaN          NaN   \n",
       "28                   NaN          NaN          NaN          NaN          NaN   \n",
       "29                   NaN          NaN          NaN          NaN          NaN   \n",
       "...                  ...          ...          ...          ...          ...   \n",
       "1082                 NaN          NaN          NaN          NaN          NaN   \n",
       "1083                 NaN          NaN          NaN          NaN          NaN   \n",
       "1084                 NaN          NaN          NaN          NaN          NaN   \n",
       "1085                 NaN          NaN          NaN          NaN          NaN   \n",
       "1086                 NaN          NaN          NaN          NaN          NaN   \n",
       "1087                 NaN          NaN          NaN          NaN          NaN   \n",
       "1088                 NaN          NaN          NaN          NaN          NaN   \n",
       "1089                 NaN          NaN          NaN          NaN          NaN   \n",
       "1090                 NaN          NaN          NaN          NaN          NaN   \n",
       "1091                 NaN          NaN          NaN          NaN          NaN   \n",
       "1092                 NaN          NaN          NaN          NaN          NaN   \n",
       "1093                 NaN          NaN          NaN          NaN          NaN   \n",
       "1094                 NaN          NaN          NaN          NaN          NaN   \n",
       "1095                 NaN          NaN          NaN          NaN          NaN   \n",
       "1096                 NaN          NaN          NaN          NaN          NaN   \n",
       "1097                 NaN          NaN          NaN          NaN          NaN   \n",
       "1098                 NaN          NaN          NaN          NaN          NaN   \n",
       "1099                 NaN          NaN          NaN          NaN          NaN   \n",
       "1100                 NaN          NaN          NaN          NaN          NaN   \n",
       "1101                 NaN          NaN          NaN          NaN          NaN   \n",
       "1102                 NaN          NaN          NaN          NaN          NaN   \n",
       "1103                 NaN          NaN          NaN          NaN          NaN   \n",
       "1104                 NaN          NaN          NaN          NaN          NaN   \n",
       "1105                 NaN          NaN          NaN          NaN          NaN   \n",
       "1106                 NaN          NaN          NaN          NaN          NaN   \n",
       "1107                 NaN          NaN          NaN          NaN          NaN   \n",
       "1108                 NaN          NaN          NaN          NaN          NaN   \n",
       "1109                 NaN          NaN          NaN          NaN          NaN   \n",
       "1110                 NaN          NaN          NaN          NaN          NaN   \n",
       "1111                 NaN          NaN          NaN          NaN          NaN   \n",
       "\n",
       "      WISC_IV_SIM_SCALED  WISC_IV_VOCAB_SCALED  WISC_IV_INFO_SCALED  \\\n",
       "0                    NaN                   NaN                  NaN   \n",
       "1                    NaN                   NaN                  NaN   \n",
       "2                    NaN                   NaN                  NaN   \n",
       "3                    NaN                   NaN                  NaN   \n",
       "4                    NaN                   NaN                  NaN   \n",
       "5                    NaN                   NaN                  NaN   \n",
       "6                    NaN                   NaN                  NaN   \n",
       "7                    NaN                   NaN                  NaN   \n",
       "8                    NaN                   NaN                  NaN   \n",
       "9                    NaN                   NaN                  NaN   \n",
       "10                   NaN                   NaN                  NaN   \n",
       "11                   NaN                   NaN                  NaN   \n",
       "12                   NaN                   NaN                  NaN   \n",
       "13                   NaN                   NaN                  NaN   \n",
       "14                   NaN                   NaN                  NaN   \n",
       "15                   NaN                   NaN                  NaN   \n",
       "16                   NaN                   NaN                  NaN   \n",
       "17                   NaN                   NaN                  NaN   \n",
       "18                   NaN                   NaN                  NaN   \n",
       "19                   NaN                   NaN                  NaN   \n",
       "20                   NaN                   NaN                  NaN   \n",
       "21                   NaN                   NaN                  NaN   \n",
       "22                   NaN                   NaN                  NaN   \n",
       "23                   NaN                   NaN                  NaN   \n",
       "24                   NaN                   NaN                  NaN   \n",
       "25                   NaN                   NaN                  NaN   \n",
       "26                   NaN                   NaN                  NaN   \n",
       "27                   NaN                   NaN                  NaN   \n",
       "28                   NaN                   NaN                  NaN   \n",
       "29                   NaN                   NaN                  NaN   \n",
       "...                  ...                   ...                  ...   \n",
       "1082                 NaN                   NaN                  NaN   \n",
       "1083                 NaN                   NaN                  NaN   \n",
       "1084                 NaN                   NaN                  NaN   \n",
       "1085                 NaN                   NaN                  NaN   \n",
       "1086                 NaN                   NaN                  NaN   \n",
       "1087                 NaN                   NaN                  NaN   \n",
       "1088                 NaN                   NaN                  NaN   \n",
       "1089                 NaN                   NaN                  NaN   \n",
       "1090                 NaN                   NaN                  NaN   \n",
       "1091                 NaN                   NaN                  NaN   \n",
       "1092                 NaN                   NaN                  NaN   \n",
       "1093                 NaN                   NaN                  NaN   \n",
       "1094                 NaN                   NaN                  NaN   \n",
       "1095                 NaN                   NaN                  NaN   \n",
       "1096                 NaN                   NaN                  NaN   \n",
       "1097                 NaN                   NaN                  NaN   \n",
       "1098                 NaN                   NaN                  NaN   \n",
       "1099                 NaN                   NaN                  NaN   \n",
       "1100                 NaN                   NaN                  NaN   \n",
       "1101                 NaN                   NaN                  NaN   \n",
       "1102                 NaN                   NaN                  NaN   \n",
       "1103                 NaN                   NaN                  NaN   \n",
       "1104                 NaN                   NaN                  NaN   \n",
       "1105                 NaN                   NaN                  NaN   \n",
       "1106                 NaN                   NaN                  NaN   \n",
       "1107                 NaN                   NaN                  NaN   \n",
       "1108                 NaN                   NaN                  NaN   \n",
       "1109                 NaN                   NaN                  NaN   \n",
       "1110                 NaN                   NaN                  NaN   \n",
       "1111                 NaN                   NaN                  NaN   \n",
       "\n",
       "      WISC_IV_BLK_DSN_SCALED  WISC_IV_PIC_CON_SCALED  WISC_IV_MATRIX_SCALED  \\\n",
       "0                        NaN                     NaN                    NaN   \n",
       "1                        NaN                     NaN                    NaN   \n",
       "2                        NaN                     NaN                    NaN   \n",
       "3                        NaN                     NaN                    NaN   \n",
       "4                        NaN                     NaN                    NaN   \n",
       "5                        NaN                     NaN                    NaN   \n",
       "6                        NaN                     NaN                    NaN   \n",
       "7                        NaN                     NaN                    NaN   \n",
       "8                        NaN                     NaN                    NaN   \n",
       "9                        NaN                     NaN                    NaN   \n",
       "10                       NaN                     NaN                    NaN   \n",
       "11                       NaN                     NaN                    NaN   \n",
       "12                       NaN                     NaN                    NaN   \n",
       "13                       NaN                     NaN                    NaN   \n",
       "14                       NaN                     NaN                    NaN   \n",
       "15                       NaN                     NaN                    NaN   \n",
       "16                       NaN                     NaN                    NaN   \n",
       "17                       NaN                     NaN                    NaN   \n",
       "18                       NaN                     NaN                    NaN   \n",
       "19                       NaN                     NaN                    NaN   \n",
       "20                       NaN                     NaN                    NaN   \n",
       "21                       NaN                     NaN                    NaN   \n",
       "22                       NaN                     NaN                    NaN   \n",
       "23                       NaN                     NaN                    NaN   \n",
       "24                       NaN                     NaN                    NaN   \n",
       "25                       NaN                     NaN                    NaN   \n",
       "26                       NaN                     NaN                    NaN   \n",
       "27                       NaN                     NaN                    NaN   \n",
       "28                       NaN                     NaN                    NaN   \n",
       "29                       NaN                     NaN                    NaN   \n",
       "...                      ...                     ...                    ...   \n",
       "1082                     NaN                     NaN                    NaN   \n",
       "1083                     NaN                     NaN                    NaN   \n",
       "1084                     NaN                     NaN                    NaN   \n",
       "1085                     NaN                     NaN                    NaN   \n",
       "1086                     NaN                     NaN                    NaN   \n",
       "1087                     NaN                     NaN                    NaN   \n",
       "1088                     NaN                     NaN                    NaN   \n",
       "1089                     NaN                     NaN                    NaN   \n",
       "1090                     NaN                     NaN                    NaN   \n",
       "1091                     NaN                     NaN                    NaN   \n",
       "1092                     NaN                     NaN                    NaN   \n",
       "1093                     NaN                     NaN                    NaN   \n",
       "1094                     NaN                     NaN                    NaN   \n",
       "1095                     NaN                     NaN                    NaN   \n",
       "1096                     NaN                     NaN                    NaN   \n",
       "1097                     NaN                     NaN                    NaN   \n",
       "1098                     NaN                     NaN                    NaN   \n",
       "1099                     NaN                     NaN                    NaN   \n",
       "1100                     NaN                     NaN                    NaN   \n",
       "1101                     NaN                     NaN                    NaN   \n",
       "1102                     NaN                     NaN                    NaN   \n",
       "1103                     NaN                     NaN                    NaN   \n",
       "1104                     NaN                     NaN                    NaN   \n",
       "1105                     NaN                     NaN                    NaN   \n",
       "1106                     NaN                     NaN                    NaN   \n",
       "1107                     NaN                     NaN                    NaN   \n",
       "1108                     NaN                     NaN                    NaN   \n",
       "1109                     NaN                     NaN                    NaN   \n",
       "1110                     NaN                     NaN                    NaN   \n",
       "1111                     NaN                     NaN                    NaN   \n",
       "\n",
       "      WISC_IV_DIGIT_SPAN_SCALED  WISC_IV_LET_NUM_SCALED  \\\n",
       "0                           NaN                     NaN   \n",
       "1                           NaN                     NaN   \n",
       "2                           NaN                     NaN   \n",
       "3                           NaN                     NaN   \n",
       "4                           NaN                     NaN   \n",
       "5                           NaN                     NaN   \n",
       "6                           NaN                     NaN   \n",
       "7                           NaN                     NaN   \n",
       "8                           NaN                     NaN   \n",
       "9                           NaN                     NaN   \n",
       "10                          NaN                     NaN   \n",
       "11                          NaN                     NaN   \n",
       "12                          NaN                     NaN   \n",
       "13                          NaN                     NaN   \n",
       "14                          NaN                     NaN   \n",
       "15                          NaN                     NaN   \n",
       "16                          NaN                     NaN   \n",
       "17                          NaN                     NaN   \n",
       "18                          NaN                     NaN   \n",
       "19                          NaN                     NaN   \n",
       "20                          NaN                     NaN   \n",
       "21                          NaN                     NaN   \n",
       "22                          NaN                     NaN   \n",
       "23                          NaN                     NaN   \n",
       "24                          NaN                     NaN   \n",
       "25                          NaN                     NaN   \n",
       "26                          NaN                     NaN   \n",
       "27                          NaN                     NaN   \n",
       "28                          NaN                     NaN   \n",
       "29                          NaN                     NaN   \n",
       "...                         ...                     ...   \n",
       "1082                        NaN                     NaN   \n",
       "1083                        NaN                     NaN   \n",
       "1084                        NaN                     NaN   \n",
       "1085                        NaN                     NaN   \n",
       "1086                        NaN                     NaN   \n",
       "1087                        NaN                     NaN   \n",
       "1088                        NaN                     NaN   \n",
       "1089                        NaN                     NaN   \n",
       "1090                        NaN                     NaN   \n",
       "1091                        NaN                     NaN   \n",
       "1092                        NaN                     NaN   \n",
       "1093                        NaN                     NaN   \n",
       "1094                        NaN                     NaN   \n",
       "1095                        NaN                     NaN   \n",
       "1096                        NaN                     NaN   \n",
       "1097                        NaN                     NaN   \n",
       "1098                        NaN                     NaN   \n",
       "1099                        NaN                     NaN   \n",
       "1100                        NaN                     NaN   \n",
       "1101                        NaN                     NaN   \n",
       "1102                        NaN                     NaN   \n",
       "1103                        NaN                     NaN   \n",
       "1104                        NaN                     NaN   \n",
       "1105                        NaN                     NaN   \n",
       "1106                        NaN                     NaN   \n",
       "1107                        NaN                     NaN   \n",
       "1108                        NaN                     NaN   \n",
       "1109                        NaN                     NaN   \n",
       "1110                        NaN                     NaN   \n",
       "1111                        NaN                     NaN   \n",
       "\n",
       "      WISC_IV_CODING_SCALED  WISC_IV_SYM_SCALED  EYE_STATUS_AT_SCAN  \\\n",
       "0                       NaN                 NaN                   2   \n",
       "1                       NaN                 NaN                   2   \n",
       "2                       NaN                 NaN                   2   \n",
       "3                       NaN                 NaN                   2   \n",
       "4                       NaN                 NaN                   2   \n",
       "5                       NaN                 NaN                   2   \n",
       "6                       NaN                 NaN                   2   \n",
       "7                       NaN                 NaN                   2   \n",
       "8                       NaN                 NaN                   2   \n",
       "9                       NaN                 NaN                   2   \n",
       "10                      NaN                 NaN                   2   \n",
       "11                      NaN                 NaN                   2   \n",
       "12                      NaN                 NaN                   2   \n",
       "13                      NaN                 NaN                   2   \n",
       "14                      NaN                 NaN                   2   \n",
       "15                      NaN                 NaN                   2   \n",
       "16                      NaN                 NaN                   2   \n",
       "17                      NaN                 NaN                   2   \n",
       "18                      NaN                 NaN                   2   \n",
       "19                      NaN                 NaN                   2   \n",
       "20                      NaN                 NaN                   2   \n",
       "21                      NaN                 NaN                   2   \n",
       "22                      NaN                 NaN                   2   \n",
       "23                      NaN                 NaN                   2   \n",
       "24                      NaN                 NaN                   2   \n",
       "25                      NaN                 NaN                   2   \n",
       "26                      NaN                 NaN                   2   \n",
       "27                      NaN                 NaN                   2   \n",
       "28                      NaN                 NaN                   2   \n",
       "29                      NaN                 NaN                   2   \n",
       "...                     ...                 ...                 ...   \n",
       "1082                    NaN                 NaN                   2   \n",
       "1083                    NaN                 NaN                   2   \n",
       "1084                    NaN                 NaN                   2   \n",
       "1085                    NaN                 NaN                   2   \n",
       "1086                    NaN                 NaN                   2   \n",
       "1087                    NaN                 NaN                   2   \n",
       "1088                    NaN                 NaN                   2   \n",
       "1089                    NaN                 NaN                   2   \n",
       "1090                    NaN                 NaN                   2   \n",
       "1091                    NaN                 NaN                   2   \n",
       "1092                    NaN                 NaN                   2   \n",
       "1093                    NaN                 NaN                   2   \n",
       "1094                    NaN                 NaN                   2   \n",
       "1095                    NaN                 NaN                   2   \n",
       "1096                    NaN                 NaN                   2   \n",
       "1097                    NaN                 NaN                   2   \n",
       "1098                    NaN                 NaN                   2   \n",
       "1099                    NaN                 NaN                   2   \n",
       "1100                    NaN                 NaN                   2   \n",
       "1101                    NaN                 NaN                   2   \n",
       "1102                    NaN                 NaN                   2   \n",
       "1103                    NaN                 NaN                   2   \n",
       "1104                    NaN                 NaN                   2   \n",
       "1105                    NaN                 NaN                   2   \n",
       "1106                    NaN                 NaN                   2   \n",
       "1107                    NaN                 NaN                   2   \n",
       "1108                    NaN                 NaN                   2   \n",
       "1109                    NaN                 NaN                   2   \n",
       "1110                    NaN                 NaN                   2   \n",
       "1111                    NaN                 NaN                   2   \n",
       "\n",
       "      AGE_AT_MPRAGE    BMI   anat_cnr  anat_efc  anat_fber  anat_fwhm  \\\n",
       "0               NaN    NaN  10.201539  1.194664  16.223458   3.878000   \n",
       "1               NaN    NaN   7.165701  1.126752  10.460008   4.282238   \n",
       "2               NaN    NaN   7.698144  1.226218   9.725750   3.881684   \n",
       "3               NaN    NaN   9.071807  1.256278  11.198226   3.628667   \n",
       "4               NaN    NaN   8.026798  1.407166   6.282055   3.674539   \n",
       "5               NaN    NaN   5.775897  1.161231   6.991093   4.104707   \n",
       "6               NaN    NaN   6.669686  1.241491   7.945937   3.831462   \n",
       "7               NaN    NaN   4.447948  1.201311   7.858095   3.622118   \n",
       "8               NaN    NaN  11.450388  0.931668  29.233811   3.852356   \n",
       "9               NaN    NaN   6.651477  1.464786   5.833882   3.697062   \n",
       "10              NaN    NaN   4.967131  1.332857   5.775844   3.845464   \n",
       "11              NaN    NaN   8.700406  1.350183   8.310242   3.504605   \n",
       "12              NaN    NaN   7.143879  1.248444   6.895069   4.015151   \n",
       "13              NaN    NaN   6.123484  1.261658   6.832958   3.642746   \n",
       "14              NaN    NaN   6.043799  1.171186   8.643467   4.021929   \n",
       "15              NaN    NaN   6.772440  1.222305   6.155562   4.040548   \n",
       "16              NaN    NaN   5.814635  1.463122   5.978813   3.724600   \n",
       "17              NaN    NaN   8.674346  1.277451  10.715523   3.918828   \n",
       "18              NaN    NaN   9.929418  1.506115   7.213386   3.859219   \n",
       "19              NaN    NaN   6.940509  1.398148   6.469069   3.876544   \n",
       "20              NaN    NaN   6.840155  1.320027   7.542863   3.690417   \n",
       "21              NaN    NaN   7.494309  1.071798  11.676546   3.969660   \n",
       "22              NaN    NaN   7.909607  1.297104   9.542624   3.740345   \n",
       "23              NaN    NaN   7.758219  1.214965   8.180706   3.947252   \n",
       "24              NaN    NaN   7.279284  1.295004   7.306073   3.866901   \n",
       "25              NaN    NaN   8.887200  1.274685  11.063821   3.741563   \n",
       "26              NaN    NaN   6.241234  1.183129   9.102619   3.945129   \n",
       "27              NaN    NaN   5.350087  1.259550   3.532357   4.034113   \n",
       "28              NaN    NaN   8.467181  1.184437  12.814106   4.323522   \n",
       "29              NaN    NaN   8.406173  1.311532   8.816248   3.873079   \n",
       "...             ...    ...        ...       ...        ...        ...   \n",
       "1082            NaN    NaN   3.438417  0.839520   9.140577   3.359410   \n",
       "1083            NaN    NaN   4.221312  1.426890   7.857000   2.988560   \n",
       "1084            NaN    NaN   3.863499  1.254731   6.722111   3.544610   \n",
       "1085            NaN    NaN   5.486405  1.277088  12.944733   2.826070   \n",
       "1086            NaN    NaN   3.322417  1.355895   5.447101   3.224120   \n",
       "1087            NaN    NaN   2.790305  1.174401   6.318626   3.343790   \n",
       "1088            NaN    NaN   4.580298  1.511072   8.336963   3.000720   \n",
       "1089            NaN    NaN   3.102250  1.367696   5.106239   3.251950   \n",
       "1090            NaN    NaN   4.733237  1.521456   7.101676   3.233030   \n",
       "1091            NaN    NaN   4.577269  1.520595   7.211705   2.910720   \n",
       "1092            NaN    NaN   4.746960  0.997956  15.593540   2.885570   \n",
       "1093            NaN    NaN   5.258132  1.436278  14.831974   2.911150   \n",
       "1094            NaN    NaN   3.090007  0.399857  31.030144   3.228790   \n",
       "1095            NaN  22.45   2.687600  1.658664   2.607570   3.376190   \n",
       "1096            NaN  22.33   3.601109  1.264992   5.158230   3.239030   \n",
       "1097            NaN  18.81   3.536205  1.433258   5.037868   3.277650   \n",
       "1098            NaN  30.79   5.466269  1.044190  16.415246   3.046780   \n",
       "1099            NaN  30.61   5.794431  1.730441   7.783196   3.180180   \n",
       "1100            NaN    NaN   3.950808  1.671033   2.804149   3.553380   \n",
       "1101            NaN    NaN   5.389460  1.413071   7.826634   3.236620   \n",
       "1102            NaN    NaN   4.676540  1.508576   6.134177   3.358970   \n",
       "1103            NaN    NaN   5.870399  0.917914  22.833082   2.870830   \n",
       "1104            NaN  23.85   2.940238  1.487330   2.540405   3.146340   \n",
       "1105            NaN    NaN   7.257336  1.168982  27.551952   2.533930   \n",
       "1106            NaN  28.68   4.768935  1.601895   6.335901   2.893500   \n",
       "1107            NaN    NaN   3.899774  1.697271   3.465151   3.318830   \n",
       "1108            NaN  23.24   2.757735  1.073076   7.633618   3.309370   \n",
       "1109            NaN    NaN   3.413469  1.358238   4.335700   3.324550   \n",
       "1110            NaN    NaN   7.839007  1.754363  12.270055   3.232170   \n",
       "1111            NaN    NaN  12.169297  2.818352   9.272107   3.510190   \n",
       "\n",
       "      anat_qi1   anat_snr  func_efc   func_fber  func_fwhm  func_dvars  \\\n",
       "0     0.152711  12.072452  0.613128   45.446551   1.873339    1.054931   \n",
       "1     0.161716   9.241155  0.578301   56.286350   2.012112    0.949857   \n",
       "2     0.174186   9.323463  0.578960   63.317943   1.866104    1.180605   \n",
       "3     0.119269  10.814200  0.556064   70.800354   1.918278    1.092030   \n",
       "4     0.130647  10.123574  0.562942   75.364679   2.213873    1.086830   \n",
       "5     0.236214   7.638746  0.607554   64.682109   1.834521    1.099380   \n",
       "6     0.131733   8.507972  0.571447   60.682083   1.909622    1.038369   \n",
       "7     0.197792   6.552231  0.596593   64.427431   2.032504    1.180188   \n",
       "8     0.073776  13.292140  0.491360   84.924849   2.021997    1.116337   \n",
       "9     0.136784   8.338746  0.593579   75.566758   2.022410    1.091183   \n",
       "10    0.143812   8.339335  0.560383   69.756576   2.117930    1.126393   \n",
       "11    0.149480  11.450269  0.534688  102.236951   1.921709    1.099368   \n",
       "12    0.167681   8.720424  0.558461   73.759477   1.893077    1.141546   \n",
       "13    0.216527   8.034187  0.567795   71.679921   2.007523    1.165877   \n",
       "14    0.191117   7.924146  0.612581   52.029763   1.876027    1.081556   \n",
       "15    0.245086   7.964681  0.575297   68.859541   1.920014    1.002636   \n",
       "16    0.232362   7.719343  0.616595   56.519909   1.941113    1.027433   \n",
       "17    0.148795  10.849225  0.580221   51.253433   1.909970    1.051523   \n",
       "18    0.155915  11.673862  0.581391   61.601446   1.946418    1.048549   \n",
       "19    0.173036   9.056360  0.573193   75.482207   2.080066    1.008803   \n",
       "20    0.175467   8.474484  0.564425   66.939962   1.922336    1.070192   \n",
       "21    0.147526   9.665734  0.538520   64.020562   2.052902    1.041346   \n",
       "22    0.128834   9.851853  0.587708   68.569063   1.962616    1.112957   \n",
       "23    0.118513   9.536603  0.514605   89.894675   2.020222    1.245619   \n",
       "24    0.141588   9.040271  0.582104   79.754172   1.934847    1.100119   \n",
       "25    0.123814  10.706713  0.599544   73.936808   1.986875    1.167056   \n",
       "26    0.160275   8.033936  0.586222   60.544002   1.991900    1.185311   \n",
       "27    0.214715   7.213661  0.573063   85.697555   2.035021    0.976814   \n",
       "28    0.147492  11.044029  0.585691   52.443174   1.911992    1.066279   \n",
       "29    0.169216  11.067462  0.548726   94.485717   1.872408    1.044661   \n",
       "...        ...        ...       ...         ...        ...         ...   \n",
       "1082  0.099237   5.456160  0.445782  205.468216   2.032735    1.204335   \n",
       "1083  0.066745   6.432693  0.495054   88.843272   1.860183    1.216343   \n",
       "1084  0.085925   6.070108  0.467642  118.887419   2.087152    1.145621   \n",
       "1085  0.054069   7.810627  0.511716   82.045288   1.968684    1.114646   \n",
       "1086  0.085435   5.262363  0.465215  115.298629   1.885277    1.158028   \n",
       "1087  0.106030   4.606572  0.506452   60.808040   1.907286    1.055674   \n",
       "1088  0.060600   6.891173  0.489111   92.033973   1.848336    1.179021   \n",
       "1089  0.092807   4.787800  0.468724  122.397255   1.910385    1.152203   \n",
       "1090  0.068319   7.195671  0.472449  116.536981   1.943543    1.116740   \n",
       "1091  0.060916   6.814600  0.482650  104.150354   2.080765    1.138462   \n",
       "1092  0.056971   7.349228  0.469991  124.681411   1.899898    1.153679   \n",
       "1093  0.047992   8.450562  0.480033  111.161146   1.995363    1.107504   \n",
       "1094  0.089614   4.947239  0.471565  103.960263   1.986581    1.082660   \n",
       "1095  0.122338   4.074631  0.486656  109.718275   2.009262    1.190833   \n",
       "1096  0.101655   5.069206  0.472395  104.648364   2.027010    1.192050   \n",
       "1097  0.088665   5.492969  0.465977  124.576568   1.919242    1.142243   \n",
       "1098  0.048442   7.804992  0.477982  114.541675   2.016993    1.197003   \n",
       "1099  0.060901   7.486296  0.496913  130.969017   2.030166    1.110365   \n",
       "1100  0.088266   6.155381  0.482051  124.373251   2.048877    1.163657   \n",
       "1101  0.061095   7.141211  0.495382   80.000195   1.951576    1.143517   \n",
       "1102  0.063098   6.834492  0.486097   96.019834   2.099657    1.175787   \n",
       "1103  0.049213   8.168979  0.469129  127.887887   2.090513    1.125245   \n",
       "1104  0.130985   4.573468  0.490547  101.314198   1.961812    1.178015   \n",
       "1105  0.030998  10.200030  0.478179  167.092159   1.972915    1.122158   \n",
       "1106  0.064087   7.342628  0.487604   79.486838   1.918145    1.097789   \n",
       "1107  0.096813   5.434540  0.507184   91.232616   2.022145    1.278364   \n",
       "1108  0.104817   4.516250  0.486408  108.510115   2.064103    1.122410   \n",
       "1109  0.109490   4.933960  0.465152   90.100651   2.157835    1.110226   \n",
       "1110  0.083964  16.403174  0.573711   77.402099   1.780653    1.152828   \n",
       "1111  0.044310  23.565982  0.611418   41.857515   1.786400    1.090482   \n",
       "\n",
       "      func_outlier  func_quality  func_mean_fd  func_num_fd  func_perc_fd  \\\n",
       "0         0.000641      0.011443      0.116828          8.0      3.980100   \n",
       "1         0.000474      0.031781      0.322092        135.0     67.164179   \n",
       "2         0.008262      0.014260      0.127745         29.0     14.427861   \n",
       "3         0.001711      0.019205      0.128136         22.0     10.945274   \n",
       "4         0.001500      0.006919      0.070143          3.0      1.492537   \n",
       "5         0.002805      0.028284      0.151246         38.0     18.905473   \n",
       "6         0.000524      0.018028      0.169275         58.0     28.855721   \n",
       "7         0.003165      0.010513      0.091976         14.0      6.965174   \n",
       "8         0.001126      0.006494      0.072545          7.0      3.482587   \n",
       "9         0.001016      0.009168      0.081539          6.0      2.985075   \n",
       "10        0.000582      0.005804      0.104551         17.0      8.457711   \n",
       "11        0.009733      0.019577      0.232532         50.0     24.875622   \n",
       "12        0.000487      0.008130      0.032496          2.0      0.995025   \n",
       "13        0.000708      0.009060      0.070063          8.0      3.980100   \n",
       "14        0.001060      0.008930      0.105155         11.0      5.472637   \n",
       "15        0.005298      0.030826      0.342834         94.0     46.766169   \n",
       "16        0.002014      0.022535      0.250098        118.0     58.706468   \n",
       "17        0.000882      0.011054      0.093131         11.0      5.472637   \n",
       "18        0.001610      0.009290      0.075150         11.0      5.472637   \n",
       "19        0.000653      0.018582      0.143019         38.0     18.905473   \n",
       "20        0.000466      0.006585      0.087743          0.0      0.000000   \n",
       "21        0.000567      0.008434      0.100243          4.0      1.990050   \n",
       "22        0.001761      0.015285      0.387298        154.0     76.616915   \n",
       "23        0.013491      0.009515      0.145126         28.0     13.930348   \n",
       "24        0.001082      0.011873      0.238692         99.0     49.253731   \n",
       "25        0.000983      0.008051      0.075642          9.0      4.477612   \n",
       "26        0.000545      0.008652      0.098612          2.0      0.995025   \n",
       "27        0.003935      0.026343      0.153689         29.0     14.427861   \n",
       "28        0.001905      0.015171      0.067907          3.0      1.492537   \n",
       "29        0.004509      0.018335      0.070939          9.0      4.477612   \n",
       "...            ...           ...           ...          ...           ...   \n",
       "1082      0.003441      0.009129      0.183134         69.0     34.328358   \n",
       "1083      0.003248      0.008621      0.130655         30.0     14.925373   \n",
       "1084      0.001269      0.004944      0.147701         54.0     26.865672   \n",
       "1085      0.001948      0.007119      0.124083         32.0     15.920398   \n",
       "1086      0.001143      0.019403      0.113176         19.0      9.452736   \n",
       "1087      0.001351      0.008523      0.127575         26.0     12.935323   \n",
       "1088      0.000710      0.006930      0.164435         60.0     29.850746   \n",
       "1089      0.000847      0.005174      0.122904         29.0     14.427861   \n",
       "1090      0.000944      0.006209      0.136413         45.0     22.388060   \n",
       "1091      0.000728      0.010123      0.161788         54.0     26.865672   \n",
       "1092      0.001424      0.007928      0.271007        144.0     71.641791   \n",
       "1093      0.000660      0.005024      0.220653         94.0     46.766169   \n",
       "1094      0.002412      0.006920      0.119588         20.0      9.950249   \n",
       "1095      0.000788      0.006595      0.138318         44.0     21.890547   \n",
       "1096      0.002274      0.006622      0.126411         33.0     16.417910   \n",
       "1097      0.001377      0.005835      0.142374         44.0     21.890547   \n",
       "1098      0.001277      0.005119      0.132729         29.0     14.427861   \n",
       "1099      0.001460      0.011393      0.415470        152.0     75.621891   \n",
       "1100      0.000699      0.006747      0.199617         79.0     39.303483   \n",
       "1101      0.001331      0.004288      0.094722         14.0      6.965174   \n",
       "1102      0.000840      0.005729      0.147765         49.0     24.378109   \n",
       "1103      0.002311      0.008146      0.096582         12.0      5.970149   \n",
       "1104      0.001758      0.005715      0.160136         62.0     30.845771   \n",
       "1105      0.001441      0.013147      0.164442         54.0     26.865672   \n",
       "1106      0.001749      0.007724      0.171107         68.0     33.830846   \n",
       "1107      0.001204      0.006403      0.116186         24.0     11.940299   \n",
       "1108      0.001508      0.012669      0.140171         37.0     18.407960   \n",
       "1109      0.002469      0.008923      0.154887         52.0     25.870647   \n",
       "1110      0.000784      0.005814      0.048246          0.0      0.000000   \n",
       "1111      0.001172      0.007255      0.168913         44.0     36.363636   \n",
       "\n",
       "      func_gsr qc_rater_1 qc_notes_rater_1 qc_anat_rater_2  \\\n",
       "0     0.054346       fail              NaN              OK   \n",
       "1     0.041862         OK              NaN              OK   \n",
       "2     0.046745         OK              NaN              OK   \n",
       "3     0.027963         OK              NaN              OK   \n",
       "4     0.054006         OK              NaN              OK   \n",
       "5     0.055615         OK              NaN              OK   \n",
       "6     0.056363         OK              NaN              OK   \n",
       "7     0.053051         OK              NaN              OK   \n",
       "8     0.036569         OK              NaN              OK   \n",
       "9     0.050781         OK              NaN              OK   \n",
       "10    0.050571         OK              NaN              OK   \n",
       "11    0.033976         OK              NaN              OK   \n",
       "12    0.037690         OK              NaN              OK   \n",
       "13    0.045516         OK              NaN              OK   \n",
       "14    0.057221         OK              NaN              OK   \n",
       "15    0.053618         OK              NaN           maybe   \n",
       "16    0.066776         OK              NaN              OK   \n",
       "17    0.068259         OK              NaN              OK   \n",
       "18    0.056679         OK              NaN              OK   \n",
       "19    0.041551         OK              NaN              OK   \n",
       "20    0.058764         OK              NaN              OK   \n",
       "21    0.051174         OK              NaN              OK   \n",
       "22    0.057138         OK              NaN              OK   \n",
       "23    0.033487         OK              NaN              OK   \n",
       "24    0.045800         OK              NaN           maybe   \n",
       "25    0.039851         OK              NaN           maybe   \n",
       "26    0.049201         OK              NaN              OK   \n",
       "27    0.048052         OK              NaN              OK   \n",
       "28    0.066515         OK              NaN              OK   \n",
       "29    0.035733         OK              NaN              OK   \n",
       "...        ...        ...              ...             ...   \n",
       "1082  0.019955         OK              NaN              OK   \n",
       "1083  0.030739         OK              NaN              OK   \n",
       "1084  0.026808         OK              NaN              OK   \n",
       "1085  0.034365         OK              NaN              OK   \n",
       "1086  0.020315         OK              NaN              OK   \n",
       "1087  0.029264         OK              NaN              OK   \n",
       "1088  0.037427         OK              NaN              OK   \n",
       "1089  0.025146         OK              NaN              OK   \n",
       "1090  0.021309         OK              NaN              OK   \n",
       "1091  0.035488         OK              NaN              OK   \n",
       "1092  0.017776         OK              NaN              OK   \n",
       "1093  0.025558         OK              NaN              OK   \n",
       "1094  0.022805         OK              NaN              OK   \n",
       "1095  0.041192         OK              NaN              OK   \n",
       "1096  0.038234         OK              NaN              OK   \n",
       "1097  0.030054         OK              NaN              OK   \n",
       "1098  0.020495         OK              NaN              OK   \n",
       "1099  0.034672         OK              NaN              OK   \n",
       "1100  0.022641         OK              NaN              OK   \n",
       "1101  0.030638         OK              NaN              OK   \n",
       "1102  0.036865         OK              NaN              OK   \n",
       "1103  0.025088         OK              NaN              OK   \n",
       "1104  0.036961         OK              NaN              OK   \n",
       "1105  0.024502         OK              NaN              OK   \n",
       "1106  0.042990         OK              NaN              OK   \n",
       "1107  0.037362         OK              NaN              OK   \n",
       "1108  0.033177         OK              NaN              OK   \n",
       "1109  0.026048         OK              NaN              OK   \n",
       "1110  0.053727         OK              NaN              OK   \n",
       "1111  0.075114         OK              NaN              OK   \n",
       "\n",
       "     qc_anat_notes_rater_2 qc_func_rater_2            qc_func_notes_rater_2  \\\n",
       "0                      NaN            fail           ic-parietal-cerebellum   \n",
       "1                      NaN              OK                              NaN   \n",
       "2                      NaN              OK                              NaN   \n",
       "3                      NaN           maybe           ic-parietal-cerebellum   \n",
       "4                      NaN           maybe               ic-parietal slight   \n",
       "5                      NaN           maybe       ic-cerebellum_temporal_lob   \n",
       "6                      NaN              OK                              NaN   \n",
       "7                      NaN            fail           ic-parietal-cerebellum   \n",
       "8                      NaN           maybe       ic-cerebellum_temporal_lob   \n",
       "9                      NaN           maybe       ic-cerebellum_temporal_lob   \n",
       "10                     NaN              OK                              NaN   \n",
       "11                     NaN              OK                              NaN   \n",
       "12                     NaN              OK                              NaN   \n",
       "13                     NaN              OK                              NaN   \n",
       "14                     NaN           maybe  ic-parietal-cerebellum_temporal   \n",
       "15     skull-striping fail           maybe       ic-cerebellum_temporal_lob   \n",
       "16                     NaN            fail            ic-occipital_parietal   \n",
       "17                     NaN              OK                              NaN   \n",
       "18                     NaN           maybe       ic-cerebellum_temporal_lob   \n",
       "19                     NaN           maybe      ic-cerebellum_temporal_lobe   \n",
       "20                     NaN           maybe       ic-cerebellum_temporal_lob   \n",
       "21                     NaN           maybe       ic-cerebellum_temporal_lob   \n",
       "22                     NaN           maybe       ic-cerebellum_temporal_lob   \n",
       "23                     NaN              OK                    ic-cerebellum   \n",
       "24     skull-striping fail           maybe           ic-parietal-cerebellum   \n",
       "25     skull-striping fail            fail           ic-parietal-cerebellum   \n",
       "26                     NaN           maybe           ic-parietal-cerebellum   \n",
       "27                     NaN           maybe      ic-cerebellum_temporal_lobe   \n",
       "28                     NaN           maybe      ic-cerebellum_temporal_lobe   \n",
       "29                     NaN           maybe      ic-cerebellum_temporal_lobe   \n",
       "...                    ...             ...                              ...   \n",
       "1082                   NaN           maybe      ic-cerebellum_temporal_lobe   \n",
       "1083                   NaN           maybe                    ic-cerebellum   \n",
       "1084                   NaN           maybe                    ic-cerebellum   \n",
       "1085                   NaN            fail           ic-parietal-cerebellum   \n",
       "1086                   NaN           maybe      ic-cerebellum_temporal_lobe   \n",
       "1087                   NaN           maybe      ic-cerebellum_temporal_lobe   \n",
       "1088                   NaN           maybe      ic-cerebellum-temporal_lobe   \n",
       "1089                   NaN           maybe      ic-cerebellum_temporal_lobe   \n",
       "1090                   NaN           maybe      ic-cerebellum-temporal_lobe   \n",
       "1091                   NaN           maybe      ic-cerebellum-temporal_lobe   \n",
       "1092                   NaN           maybe      ic-cerebellum-temporal_lobe   \n",
       "1093                   NaN           maybe      ic-cerebellum-temporal_lobe   \n",
       "1094                   NaN           maybe      ic-cerebellum-temporal_lobe   \n",
       "1095                   NaN            fail           ic-parietal-cerebellum   \n",
       "1096                   NaN           maybe      ic-cerebellum-temporal_lobe   \n",
       "1097                   NaN           maybe                    ic-cerebellum   \n",
       "1098                   NaN           maybe           ic-parietal-cerebellum   \n",
       "1099                   NaN            fail      ic-cerebellum-temporal_lobe   \n",
       "1100                   NaN           maybe                    ic-cerebellum   \n",
       "1101                   NaN           maybe      ic-cerebellum-temporal_lobe   \n",
       "1102                   NaN           maybe      ic-cerebellum-temporal_lobe   \n",
       "1103                   NaN           maybe      ic-cerebellum-temporal_lobe   \n",
       "1104                   NaN           maybe      ic-cerebellum-temporal_lobe   \n",
       "1105                   NaN            fail           ic-parietal-cerebellum   \n",
       "1106                   NaN           maybe                    ic-cerebellum   \n",
       "1107                   NaN              OK      ic-cerebellum-temporal_lobe   \n",
       "1108                   NaN           maybe                    vmpfc dropout   \n",
       "1109                   NaN           maybe      ic-cerebellum-temporal_lobe   \n",
       "1110                   NaN           maybe                    ic-cerebellum   \n",
       "1111                   NaN           maybe                    ic-cerebellum   \n",
       "\n",
       "     qc_anat_rater_3 qc_anat_notes_rater_3 qc_func_rater_3  \\\n",
       "0                 OK                   NaN            fail   \n",
       "1                 OK                   NaN              OK   \n",
       "2                 OK                   NaN              OK   \n",
       "3                 OK                   NaN              OK   \n",
       "4                 OK                   NaN              OK   \n",
       "5                 OK                   NaN              OK   \n",
       "6                 OK                   NaN              OK   \n",
       "7                 OK                   NaN              OK   \n",
       "8                 OK                   NaN              OK   \n",
       "9                 OK                   NaN              OK   \n",
       "10                OK                   NaN              OK   \n",
       "11                OK                   NaN              OK   \n",
       "12                OK                   NaN              OK   \n",
       "13                OK                   NaN              OK   \n",
       "14                OK                   NaN              OK   \n",
       "15              fail                 noise              OK   \n",
       "16                OK                   NaN              OK   \n",
       "17                OK                   NaN              OK   \n",
       "18                OK                   NaN              OK   \n",
       "19                OK                   NaN              OK   \n",
       "20                OK                   NaN              OK   \n",
       "21                OK                   NaN              OK   \n",
       "22                OK                   NaN              OK   \n",
       "23                OK                   NaN              OK   \n",
       "24                OK                   NaN              OK   \n",
       "25                OK                   NaN              OK   \n",
       "26                OK                   NaN              OK   \n",
       "27                OK                   NaN              OK   \n",
       "28                OK                   NaN              OK   \n",
       "29                OK                   NaN              OK   \n",
       "...              ...                   ...             ...   \n",
       "1082              OK                   NaN              OK   \n",
       "1083              OK                   NaN              OK   \n",
       "1084              OK                   NaN              OK   \n",
       "1085              OK                   NaN              OK   \n",
       "1086              OK                   NaN              OK   \n",
       "1087              OK                   NaN              OK   \n",
       "1088              OK                   NaN              OK   \n",
       "1089              OK                   NaN              OK   \n",
       "1090              OK                   NaN              OK   \n",
       "1091              OK                   NaN              OK   \n",
       "1092              OK                   NaN              OK   \n",
       "1093              OK                   NaN              OK   \n",
       "1094              OK                   NaN              OK   \n",
       "1095              OK                   NaN              OK   \n",
       "1096              OK                   NaN              OK   \n",
       "1097              OK                   NaN              OK   \n",
       "1098              OK                   NaN              OK   \n",
       "1099              OK                   NaN              OK   \n",
       "1100              OK                   NaN              OK   \n",
       "1101              OK                   NaN              OK   \n",
       "1102              OK                   NaN              OK   \n",
       "1103              OK                   NaN              OK   \n",
       "1104              OK                   NaN              OK   \n",
       "1105              OK                   NaN              OK   \n",
       "1106              OK                   NaN              OK   \n",
       "1107              OK                   NaN              OK   \n",
       "1108              OK                   NaN              OK   \n",
       "1109              OK                   NaN              OK   \n",
       "1110              OK                   NaN              OK   \n",
       "1111              OK                   NaN              OK   \n",
       "\n",
       "     qc_func_notes_rater_3  SUB_IN_SMP  \n",
       "0                ERROR #24           1  \n",
       "1                      NaN           1  \n",
       "2                      NaN           1  \n",
       "3                      NaN           0  \n",
       "4                      NaN           1  \n",
       "5                      NaN           1  \n",
       "6                      NaN           1  \n",
       "7                      NaN           1  \n",
       "8                      NaN           1  \n",
       "9                      NaN           0  \n",
       "10                     NaN           1  \n",
       "11                     NaN           1  \n",
       "12                     NaN           1  \n",
       "13                     NaN           1  \n",
       "14                     NaN           1  \n",
       "15                     NaN           1  \n",
       "16                     NaN           1  \n",
       "17                     NaN           1  \n",
       "18                     NaN           1  \n",
       "19                     NaN           0  \n",
       "20                     NaN           1  \n",
       "21                     NaN           1  \n",
       "22                     NaN           1  \n",
       "23                     NaN           1  \n",
       "24                     NaN           1  \n",
       "25                     NaN           0  \n",
       "26                     NaN           1  \n",
       "27                     NaN           1  \n",
       "28                     NaN           1  \n",
       "29                     NaN           1  \n",
       "...                    ...         ...  \n",
       "1082                   NaN           0  \n",
       "1083                   NaN           0  \n",
       "1084                   NaN           0  \n",
       "1085                   NaN           0  \n",
       "1086                   NaN           0  \n",
       "1087                   NaN           0  \n",
       "1088                   NaN           0  \n",
       "1089                   NaN           0  \n",
       "1090                   NaN           0  \n",
       "1091                   NaN           0  \n",
       "1092                   NaN           0  \n",
       "1093                   NaN           0  \n",
       "1094                   NaN           0  \n",
       "1095                   NaN           0  \n",
       "1096                   NaN           0  \n",
       "1097                   NaN           0  \n",
       "1098                   NaN           0  \n",
       "1099                   NaN           0  \n",
       "1100                   NaN           0  \n",
       "1101                   NaN           0  \n",
       "1102                   NaN           0  \n",
       "1103                   NaN           0  \n",
       "1104                   NaN           0  \n",
       "1105                   NaN           0  \n",
       "1106                   NaN           0  \n",
       "1107                   NaN           0  \n",
       "1108                   NaN           0  \n",
       "1109                   NaN           0  \n",
       "1110                   NaN           0  \n",
       "1111                   NaN           1  \n",
       "\n",
       "[1112 rows x 106 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Import phenotype file from amazon\n",
    "pheno_url=\"https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Phenotypic_V1_0b_preprocessed1.csv\"\n",
    "res=url.urlopen(pheno_url)\n",
    "txt=res.read()\n",
    "pheno_df=pd.read_csv(StringIO(txt))\n",
    "\n",
    "# The column FILE_ID contains the code used to index the data at amazon. The 1st row's code is incorrect. Fix it.\n",
    "pheno_df.loc[0,'FILE_ID']=\"Pitt_0050002\"\n",
    "\n",
    "# NaN values are indicated as -9999, replace that by a proper NaN value\n",
    "pheno_df=pheno_df.replace(-9999,np.nan)\n",
    "\n",
    "# Print data frame\n",
    "pd.set_option('display.max_columns', None)\n",
    "pheno_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x114db4d50>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x111a5bd50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x114d40f50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot a few measurements\n",
    "pheno_df.plot(y='AGE_AT_SCAN',kind='hist')\n",
    "pheno_df.plot(y='FIQ',kind='hist')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Basic statistical power computations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Power for standard effect sizes:\n",
      "0.139404465581\n",
      "0.41010033258\n",
      "0.933707643674\n",
      "Minimum number of subjects per group required to detect an effect size of 0.5 with 80% power:\n",
      "63.7656117754\n"
     ]
    }
   ],
   "source": [
    "# ABIDE 1 included 1102 subjects. Load the first N for testing\n",
    "N=50\n",
    "\n",
    "# Statistical power calculations\n",
    "# (more info at http://jpktd.blogspot.cl/2013/03/statistical-power-in-statsmodels.html)\n",
    "\n",
    "# Given our sample size N, what is our power to detect small, medium and large effects\n",
    "d_small = 0.25\n",
    "d_medium = 0.5\n",
    "d_large = 1\n",
    "print \"Power for standard effect sizes:\"\n",
    "print smp.TTestIndPower().solve_power(d_small, nobs1=N/2, ratio=1, alpha=0.05, alternative='two-sided')\n",
    "print smp.TTestIndPower().solve_power(d_medium, nobs1=N/2, ratio=1, alpha=0.05, alternative='two-sided')\n",
    "print smp.TTestIndPower().solve_power(d_large, nobs1=N/2, ratio=1, alpha=0.05, alternative='two-sided')\n",
    "\n",
    "# What number of subjects would we need to detect a give effect size with 80% power?\n",
    "d=0.5\n",
    "print \"Minimum number of subjects per group required to detect an effect size of \"+str(d)+\" with 80% power:\"\n",
    "print smp.TTestIndPower().solve_power(d, power=0.8, ratio=1, alpha=0.05, alternative='two-sided')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Load regional brain volume measurements for a subset of individuals "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050002/stats/aseg.stats\n",
      "1. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050003/stats/aseg.stats\n",
      "2. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050004/stats/aseg.stats\n",
      "3. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050005/stats/aseg.stats\n",
      "4. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050006/stats/aseg.stats\n",
      "5. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050007/stats/aseg.stats\n",
      "6. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050008/stats/aseg.stats\n",
      "7. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050009/stats/aseg.stats\n",
      "8. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050010/stats/aseg.stats\n",
      "9. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050011/stats/aseg.stats\n",
      "10. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050012/stats/aseg.stats\n",
      "11. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050013/stats/aseg.stats\n",
      "12. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050014/stats/aseg.stats\n",
      "13. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050015/stats/aseg.stats\n",
      "14. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050016/stats/aseg.stats\n",
      "15. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050017/stats/aseg.stats\n",
      "16. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050019/stats/aseg.stats\n",
      "17. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050020/stats/aseg.stats\n",
      "18. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050022/stats/aseg.stats\n",
      "19. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050023/stats/aseg.stats\n",
      "20. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050024/stats/aseg.stats\n",
      "21. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050025/stats/aseg.stats\n",
      "22. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050026/stats/aseg.stats\n",
      "23. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050027/stats/aseg.stats\n",
      "24. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050028/stats/aseg.stats\n",
      "25. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050029/stats/aseg.stats\n",
      "26. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050030/stats/aseg.stats\n",
      "27. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050031/stats/aseg.stats\n",
      "28. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050032/stats/aseg.stats\n",
      "29. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050033/stats/aseg.stats\n",
      "30. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050034/stats/aseg.stats\n",
      "31. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050035/stats/aseg.stats\n",
      "32. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050036/stats/aseg.stats\n",
      "33. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050037/stats/aseg.stats\n",
      "34. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050038/stats/aseg.stats\n",
      "35. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050039/stats/aseg.stats\n",
      "36. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050040/stats/aseg.stats\n",
      "37. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050041/stats/aseg.stats\n",
      "38. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050042/stats/aseg.stats\n",
      "39. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050043/stats/aseg.stats\n",
      "40. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050044/stats/aseg.stats\n",
      "41. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050045/stats/aseg.stats\n",
      "42. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050046/stats/aseg.stats\n",
      "43. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050047/stats/aseg.stats\n",
      "44. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050048/stats/aseg.stats\n",
      "45. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050049/stats/aseg.stats\n",
      "46. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050050/stats/aseg.stats\n",
      "47. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050051/stats/aseg.stats\n",
      "48. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050052/stats/aseg.stats\n",
      "49. https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/Pitt_0050053/stats/aseg.stats\n"
     ]
    }
   ],
   "source": [
    "# Load summary data for measurements of subcortical structures\n",
    "\n",
    "base_url=\"https://s3.amazonaws.com/fcp-indi/data/Projects/ABIDE_Initiative/Outputs/freesurfer/5.1/\"\n",
    "filename=\"/stats/aseg.stats\"\n",
    "\n",
    "sub_df=[];\n",
    "for i in range(0,N):\n",
    "    aseg_url=base_url+pheno_df.FILE_ID[i]+filename\n",
    "    print(str(i)+\". \"+aseg_url)\n",
    "    res=url.urlopen(aseg_url)\n",
    "    txt=res.read()\n",
    "    txt=txt.split(\"\\n\")[68:113];\n",
    "    txt=\"\\n\".join(txt);\n",
    "    sub_df.append(pd.read_csv(StringIO(txt),sep='\\s+',header=None))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>5669</td>\n",
       "      <td>5669.0</td>\n",
       "      <td>Left-Lateral-Ventricle</td>\n",
       "      <td>20.3089</td>\n",
       "      <td>13.7839</td>\n",
       "      <td>0.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>77.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>150</td>\n",
       "      <td>150.0</td>\n",
       "      <td>Left-Inf-Lat-Vent</td>\n",
       "      <td>44.9542</td>\n",
       "      <td>9.3298</td>\n",
       "      <td>26.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>44.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>15349</td>\n",
       "      <td>15349.0</td>\n",
       "      <td>Left-Cerebellum-White-Matter</td>\n",
       "      <td>88.1187</td>\n",
       "      <td>6.6592</td>\n",
       "      <td>36.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>69.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>60374</td>\n",
       "      <td>60374.0</td>\n",
       "      <td>Left-Cerebellum-Cortex</td>\n",
       "      <td>57.5871</td>\n",
       "      <td>10.1604</td>\n",
       "      <td>15.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>83.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>7324</td>\n",
       "      <td>7324.0</td>\n",
       "      <td>Left-Thalamus-Proper</td>\n",
       "      <td>88.2386</td>\n",
       "      <td>9.0647</td>\n",
       "      <td>46.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>61.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>11</td>\n",
       "      <td>4630</td>\n",
       "      <td>4630.0</td>\n",
       "      <td>Left-Caudate</td>\n",
       "      <td>74.7627</td>\n",
       "      <td>8.6105</td>\n",
       "      <td>38.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>12</td>\n",
       "      <td>7381</td>\n",
       "      <td>7381.0</td>\n",
       "      <td>Left-Putamen</td>\n",
       "      <td>82.0556</td>\n",
       "      <td>5.8165</td>\n",
       "      <td>62.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>42.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>13</td>\n",
       "      <td>2341</td>\n",
       "      <td>2341.0</td>\n",
       "      <td>Left-Pallidum</td>\n",
       "      <td>96.3279</td>\n",
       "      <td>3.7901</td>\n",
       "      <td>81.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>31.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>14</td>\n",
       "      <td>987</td>\n",
       "      <td>987.0</td>\n",
       "      <td>3rd-Ventricle</td>\n",
       "      <td>26.7386</td>\n",
       "      <td>16.6542</td>\n",
       "      <td>0.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>69.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>1312</td>\n",
       "      <td>1312.0</td>\n",
       "      <td>4th-Ventricle</td>\n",
       "      <td>17.0044</td>\n",
       "      <td>12.4282</td>\n",
       "      <td>0.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>56.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>16</td>\n",
       "      <td>21661</td>\n",
       "      <td>21661.0</td>\n",
       "      <td>Brain-Stem</td>\n",
       "      <td>88.2808</td>\n",
       "      <td>8.7131</td>\n",
       "      <td>36.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>76.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>17</td>\n",
       "      <td>4324</td>\n",
       "      <td>4324.0</td>\n",
       "      <td>Left-Hippocampus</td>\n",
       "      <td>66.3305</td>\n",
       "      <td>8.0504</td>\n",
       "      <td>34.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>71.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>18</td>\n",
       "      <td>1767</td>\n",
       "      <td>1767.0</td>\n",
       "      <td>Left-Amygdala</td>\n",
       "      <td>64.4418</td>\n",
       "      <td>6.4593</td>\n",
       "      <td>34.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>54.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>24</td>\n",
       "      <td>1041</td>\n",
       "      <td>1041.0</td>\n",
       "      <td>CSF</td>\n",
       "      <td>30.4699</td>\n",
       "      <td>15.6348</td>\n",
       "      <td>0.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>26</td>\n",
       "      <td>850</td>\n",
       "      <td>850.0</td>\n",
       "      <td>Left-Accumbens-area</td>\n",
       "      <td>72.4559</td>\n",
       "      <td>5.7881</td>\n",
       "      <td>43.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>49.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>28</td>\n",
       "      <td>4783</td>\n",
       "      <td>4783.0</td>\n",
       "      <td>Left-VentralDC</td>\n",
       "      <td>93.0281</td>\n",
       "      <td>9.3118</td>\n",
       "      <td>43.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>30</td>\n",
       "      <td>20</td>\n",
       "      <td>20.0</td>\n",
       "      <td>Left-vessel</td>\n",
       "      <td>72.2609</td>\n",
       "      <td>7.8057</td>\n",
       "      <td>60.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>28.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>31</td>\n",
       "      <td>1578</td>\n",
       "      <td>1578.0</td>\n",
       "      <td>Left-choroid-plexus</td>\n",
       "      <td>49.6463</td>\n",
       "      <td>16.4237</td>\n",
       "      <td>14.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>43</td>\n",
       "      <td>7450</td>\n",
       "      <td>7450.0</td>\n",
       "      <td>Right-Lateral-Ventricle</td>\n",
       "      <td>16.6121</td>\n",
       "      <td>13.1344</td>\n",
       "      <td>0.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>78.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>44</td>\n",
       "      <td>240</td>\n",
       "      <td>240.0</td>\n",
       "      <td>Right-Inf-Lat-Vent</td>\n",
       "      <td>40.9665</td>\n",
       "      <td>10.7642</td>\n",
       "      <td>13.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>59.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>46</td>\n",
       "      <td>17106</td>\n",
       "      <td>17106.0</td>\n",
       "      <td>Right-Cerebellum-White-Matter</td>\n",
       "      <td>84.5534</td>\n",
       "      <td>6.8678</td>\n",
       "      <td>40.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>61.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>47</td>\n",
       "      <td>57720</td>\n",
       "      <td>57720.0</td>\n",
       "      <td>Right-Cerebellum-Cortex</td>\n",
       "      <td>56.3428</td>\n",
       "      <td>9.7843</td>\n",
       "      <td>11.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>77.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>49</td>\n",
       "      <td>7569</td>\n",
       "      <td>7569.0</td>\n",
       "      <td>Right-Thalamus-Proper</td>\n",
       "      <td>87.1638</td>\n",
       "      <td>8.9576</td>\n",
       "      <td>41.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>66.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>50</td>\n",
       "      <td>4855</td>\n",
       "      <td>4855.0</td>\n",
       "      <td>Right-Caudate</td>\n",
       "      <td>72.2177</td>\n",
       "      <td>8.9715</td>\n",
       "      <td>25.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>51</td>\n",
       "      <td>7108</td>\n",
       "      <td>7108.0</td>\n",
       "      <td>Right-Putamen</td>\n",
       "      <td>79.9569</td>\n",
       "      <td>6.5052</td>\n",
       "      <td>55.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>51.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26</td>\n",
       "      <td>52</td>\n",
       "      <td>1837</td>\n",
       "      <td>1837.0</td>\n",
       "      <td>Right-Pallidum</td>\n",
       "      <td>95.4282</td>\n",
       "      <td>4.6472</td>\n",
       "      <td>52.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>57.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>53</td>\n",
       "      <td>4166</td>\n",
       "      <td>4166.0</td>\n",
       "      <td>Right-Hippocampus</td>\n",
       "      <td>65.5609</td>\n",
       "      <td>7.5692</td>\n",
       "      <td>37.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>58.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>54</td>\n",
       "      <td>1792</td>\n",
       "      <td>1792.0</td>\n",
       "      <td>Right-Amygdala</td>\n",
       "      <td>66.0973</td>\n",
       "      <td>6.4137</td>\n",
       "      <td>48.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>58</td>\n",
       "      <td>935</td>\n",
       "      <td>935.0</td>\n",
       "      <td>Right-Accumbens-area</td>\n",
       "      <td>72.8958</td>\n",
       "      <td>7.2546</td>\n",
       "      <td>44.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>60</td>\n",
       "      <td>4650</td>\n",
       "      <td>4650.0</td>\n",
       "      <td>Right-VentralDC</td>\n",
       "      <td>92.1905</td>\n",
       "      <td>10.5247</td>\n",
       "      <td>46.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>31</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>66.0</td>\n",
       "      <td>Right-vessel</td>\n",
       "      <td>65.7273</td>\n",
       "      <td>10.2725</td>\n",
       "      <td>39.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>46.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>32</td>\n",
       "      <td>63</td>\n",
       "      <td>1728</td>\n",
       "      <td>1728.0</td>\n",
       "      <td>Right-choroid-plexus</td>\n",
       "      <td>48.3187</td>\n",
       "      <td>15.2294</td>\n",
       "      <td>12.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>83.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>33</td>\n",
       "      <td>72</td>\n",
       "      <td>7</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5th-Ventricle</td>\n",
       "      <td>35.0000</td>\n",
       "      <td>10.8423</td>\n",
       "      <td>24.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>36.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>34</td>\n",
       "      <td>77</td>\n",
       "      <td>1718</td>\n",
       "      <td>1718.0</td>\n",
       "      <td>WM-hypointensities</td>\n",
       "      <td>72.3662</td>\n",
       "      <td>14.4949</td>\n",
       "      <td>28.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>86.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>35</td>\n",
       "      <td>78</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Left-WM-hypointensities</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>36</td>\n",
       "      <td>79</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Right-WM-hypointensities</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>37</td>\n",
       "      <td>80</td>\n",
       "      <td>29</td>\n",
       "      <td>29.0</td>\n",
       "      <td>non-WM-hypointensities</td>\n",
       "      <td>56.8333</td>\n",
       "      <td>17.4151</td>\n",
       "      <td>29.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>38</td>\n",
       "      <td>81</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Left-non-WM-hypointensities</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>39</td>\n",
       "      <td>82</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Right-non-WM-hypointensities</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>40</td>\n",
       "      <td>85</td>\n",
       "      <td>322</td>\n",
       "      <td>322.0</td>\n",
       "      <td>Optic-Chiasm</td>\n",
       "      <td>74.0369</td>\n",
       "      <td>18.0849</td>\n",
       "      <td>27.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>78.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>41</td>\n",
       "      <td>251</td>\n",
       "      <td>962</td>\n",
       "      <td>962.0</td>\n",
       "      <td>CC_Posterior</td>\n",
       "      <td>111.2374</td>\n",
       "      <td>8.2024</td>\n",
       "      <td>71.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>42</td>\n",
       "      <td>252</td>\n",
       "      <td>519</td>\n",
       "      <td>519.0</td>\n",
       "      <td>CC_Mid_Posterior</td>\n",
       "      <td>105.4132</td>\n",
       "      <td>10.5049</td>\n",
       "      <td>38.0</td>\n",
       "      <td>117.0</td>\n",
       "      <td>79.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>43</td>\n",
       "      <td>253</td>\n",
       "      <td>478</td>\n",
       "      <td>478.0</td>\n",
       "      <td>CC_Central</td>\n",
       "      <td>106.0241</td>\n",
       "      <td>9.0277</td>\n",
       "      <td>56.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>44</td>\n",
       "      <td>254</td>\n",
       "      <td>444</td>\n",
       "      <td>444.0</td>\n",
       "      <td>CC_Mid_Anterior</td>\n",
       "      <td>107.0625</td>\n",
       "      <td>8.1164</td>\n",
       "      <td>78.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>38.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>45</td>\n",
       "      <td>255</td>\n",
       "      <td>995</td>\n",
       "      <td>995.0</td>\n",
       "      <td>CC_Anterior</td>\n",
       "      <td>106.4155</td>\n",
       "      <td>9.8396</td>\n",
       "      <td>53.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     0    1      2        3                              4         5        6  \\\n",
       "0    1    4   5669   5669.0         Left-Lateral-Ventricle   20.3089  13.7839   \n",
       "1    2    5    150    150.0              Left-Inf-Lat-Vent   44.9542   9.3298   \n",
       "2    3    7  15349  15349.0   Left-Cerebellum-White-Matter   88.1187   6.6592   \n",
       "3    4    8  60374  60374.0         Left-Cerebellum-Cortex   57.5871  10.1604   \n",
       "4    5   10   7324   7324.0           Left-Thalamus-Proper   88.2386   9.0647   \n",
       "5    6   11   4630   4630.0                   Left-Caudate   74.7627   8.6105   \n",
       "6    7   12   7381   7381.0                   Left-Putamen   82.0556   5.8165   \n",
       "7    8   13   2341   2341.0                  Left-Pallidum   96.3279   3.7901   \n",
       "8    9   14    987    987.0                  3rd-Ventricle   26.7386  16.6542   \n",
       "9   10   15   1312   1312.0                  4th-Ventricle   17.0044  12.4282   \n",
       "10  11   16  21661  21661.0                     Brain-Stem   88.2808   8.7131   \n",
       "11  12   17   4324   4324.0               Left-Hippocampus   66.3305   8.0504   \n",
       "12  13   18   1767   1767.0                  Left-Amygdala   64.4418   6.4593   \n",
       "13  14   24   1041   1041.0                            CSF   30.4699  15.6348   \n",
       "14  15   26    850    850.0            Left-Accumbens-area   72.4559   5.7881   \n",
       "15  16   28   4783   4783.0                 Left-VentralDC   93.0281   9.3118   \n",
       "16  17   30     20     20.0                    Left-vessel   72.2609   7.8057   \n",
       "17  18   31   1578   1578.0            Left-choroid-plexus   49.6463  16.4237   \n",
       "18  19   43   7450   7450.0        Right-Lateral-Ventricle   16.6121  13.1344   \n",
       "19  20   44    240    240.0             Right-Inf-Lat-Vent   40.9665  10.7642   \n",
       "20  21   46  17106  17106.0  Right-Cerebellum-White-Matter   84.5534   6.8678   \n",
       "21  22   47  57720  57720.0        Right-Cerebellum-Cortex   56.3428   9.7843   \n",
       "22  23   49   7569   7569.0          Right-Thalamus-Proper   87.1638   8.9576   \n",
       "23  24   50   4855   4855.0                  Right-Caudate   72.2177   8.9715   \n",
       "24  25   51   7108   7108.0                  Right-Putamen   79.9569   6.5052   \n",
       "25  26   52   1837   1837.0                 Right-Pallidum   95.4282   4.6472   \n",
       "26  27   53   4166   4166.0              Right-Hippocampus   65.5609   7.5692   \n",
       "27  28   54   1792   1792.0                 Right-Amygdala   66.0973   6.4137   \n",
       "28  29   58    935    935.0           Right-Accumbens-area   72.8958   7.2546   \n",
       "29  30   60   4650   4650.0                Right-VentralDC   92.1905  10.5247   \n",
       "30  31   62     66     66.0                   Right-vessel   65.7273  10.2725   \n",
       "31  32   63   1728   1728.0           Right-choroid-plexus   48.3187  15.2294   \n",
       "32  33   72      7      7.0                  5th-Ventricle   35.0000  10.8423   \n",
       "33  34   77   1718   1718.0             WM-hypointensities   72.3662  14.4949   \n",
       "34  35   78      0      0.0        Left-WM-hypointensities    0.0000   0.0000   \n",
       "35  36   79      0      0.0       Right-WM-hypointensities    0.0000   0.0000   \n",
       "36  37   80     29     29.0         non-WM-hypointensities   56.8333  17.4151   \n",
       "37  38   81      0      0.0    Left-non-WM-hypointensities    0.0000   0.0000   \n",
       "38  39   82      0      0.0   Right-non-WM-hypointensities    0.0000   0.0000   \n",
       "39  40   85    322    322.0                   Optic-Chiasm   74.0369  18.0849   \n",
       "40  41  251    962    962.0                   CC_Posterior  111.2374   8.2024   \n",
       "41  42  252    519    519.0               CC_Mid_Posterior  105.4132  10.5049   \n",
       "42  43  253    478    478.0                     CC_Central  106.0241   9.0277   \n",
       "43  44  254    444    444.0                CC_Mid_Anterior  107.0625   8.1164   \n",
       "44  45  255    995    995.0                    CC_Anterior  106.4155   9.8396   \n",
       "\n",
       "       7      8     9  \n",
       "0    0.0   77.0  77.0  \n",
       "1   26.0   70.0  44.0  \n",
       "2   36.0  105.0  69.0  \n",
       "3   15.0   98.0  83.0  \n",
       "4   46.0  107.0  61.0  \n",
       "5   38.0  103.0  65.0  \n",
       "6   62.0  104.0  42.0  \n",
       "7   81.0  112.0  31.0  \n",
       "8    0.0   69.0  69.0  \n",
       "9    0.0   56.0  56.0  \n",
       "10  36.0  112.0  76.0  \n",
       "11  34.0  105.0  71.0  \n",
       "12  34.0   88.0  54.0  \n",
       "13   0.0   70.0  70.0  \n",
       "14  43.0   92.0  49.0  \n",
       "15  43.0  113.0  70.0  \n",
       "16  60.0   88.0  28.0  \n",
       "17  14.0   94.0  80.0  \n",
       "18   0.0   78.0  78.0  \n",
       "19  13.0   72.0  59.0  \n",
       "20  40.0  101.0  61.0  \n",
       "21  11.0   88.0  77.0  \n",
       "22  41.0  107.0  66.0  \n",
       "23  25.0  100.0  75.0  \n",
       "24  55.0  106.0  51.0  \n",
       "25  52.0  109.0  57.0  \n",
       "26  37.0   95.0  58.0  \n",
       "27  48.0   88.0  40.0  \n",
       "28  44.0  109.0  65.0  \n",
       "29  46.0  111.0  65.0  \n",
       "30  39.0   85.0  46.0  \n",
       "31  12.0   95.0  83.0  \n",
       "32  24.0   60.0  36.0  \n",
       "33  28.0  114.0  86.0  \n",
       "34   0.0    0.0   0.0  \n",
       "35   0.0    0.0   0.0  \n",
       "36  29.0   99.0  70.0  \n",
       "37   0.0    0.0   0.0  \n",
       "38   0.0    0.0   0.0  \n",
       "39  27.0  105.0  78.0  \n",
       "40  71.0  119.0  48.0  \n",
       "41  38.0  117.0  79.0  \n",
       "42  56.0  116.0  60.0  \n",
       "43  78.0  116.0  38.0  \n",
       "44  53.0  123.0  70.0  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Header:\n",
    "# Index SegId NVoxels Volume_mm3 StructName normMean normStdDev normMin normMax normRange  \n",
    "\n",
    "# Print the 1st data frame\n",
    "sub_df[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Statistical analyses"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5.1 Collect the data of interest\n",
    "\n",
    "We will do our analyses using as covariates the Age at scan and the Diagnosis group. In the following code we will look at the volume of the Hippocampus (left and right hemispheres added). Looking at the first subject's data frame, we see that Left-Hippocampus is row 11 and Right-Hippocampus is row 26. The column containing the volume (in mm3) is the 5th one."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Patients: 27\n",
      "Controls: 23\n"
     ]
    }
   ],
   "source": [
    "# We will collect all the information in a new data frame containing all\n",
    "# the information we need.\n",
    "\n",
    "# Extract AGE_AT_SCAN from the phenotype data frame pheno_dt\n",
    "age=pheno_df.AGE_AT_SCAN[0:N]\n",
    "\n",
    "# Extract the Diagnosis (1=Autism, 2=Control)\n",
    "group=pheno_df.DX_GROUP[0:N]\n",
    "\n",
    "# Extract the Right and Left Hippocampus rows from each individual's data frame.\n",
    "# Volume in mm3 is the 4th column (index = 3)\n",
    "h=np.empty(N)\n",
    "for i in range(0,N):\n",
    "    lh=sub_df[i].loc[11,3]\n",
    "    rh=sub_df[i].loc[26,3]\n",
    "    h[i]=lh+rh\n",
    "\n",
    "# Create a data frame for all our statistical tests\n",
    "test_df=pd.DataFrame({'A':age, 'G':group, 'H':h});\n",
    "\n",
    "# Display number of patients and controls\n",
    "print \"Patients: \"+str((group==1).sum())\n",
    "print \"Controls: \"+str((group==2).sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5.2 Volume difference in patients vs controls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>            <td>H</td>        <th>  R-squared:         </th> <td>   0.000</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>  -0.021</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>0.007778</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Thu, 02 Mar 2017</td> <th>  Prob (F-statistic):</th>  <td> 0.930</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>19:52:09</td>     <th>  Log-Likelihood:    </th> <td> -411.18</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>    50</td>      <th>  AIC:               </th> <td>   826.4</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>    48</td>      <th>  BIC:               </th> <td>   830.2</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     1</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "      <td></td>         <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th> <th>[95.0% Conf. Int.]</th> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th> <td> 8835.4815</td> <td>  177.190</td> <td>   49.864</td> <td> 0.000</td> <td> 8479.217  9191.746</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>C(G)[T.2]</th> <td>   23.0403</td> <td>  261.252</td> <td>    0.088</td> <td> 0.930</td> <td> -502.242   548.323</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td> 0.265</td> <th>  Durbin-Watson:     </th> <td>   2.496</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.876</td> <th>  Jarque-Bera (JB):  </th> <td>   0.233</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td>-0.151</td> <th>  Prob(JB):          </th> <td>   0.890</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 2.857</td> <th>  Cond. No.          </th> <td>    2.53</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                      H   R-squared:                       0.000\n",
       "Model:                            OLS   Adj. R-squared:                 -0.021\n",
       "Method:                 Least Squares   F-statistic:                  0.007778\n",
       "Date:                Thu, 02 Mar 2017   Prob (F-statistic):              0.930\n",
       "Time:                        19:52:09   Log-Likelihood:                -411.18\n",
       "No. Observations:                  50   AIC:                             826.4\n",
       "Df Residuals:                      48   BIC:                             830.2\n",
       "Df Model:                           1                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [95.0% Conf. Int.]\n",
       "------------------------------------------------------------------------------\n",
       "Intercept   8835.4815    177.190     49.864      0.000      8479.217  9191.746\n",
       "C(G)[T.2]     23.0403    261.252      0.088      0.930      -502.242   548.323\n",
       "==============================================================================\n",
       "Omnibus:                        0.265   Durbin-Watson:                   2.496\n",
       "Prob(Omnibus):                  0.876   Jarque-Bera (JB):                0.233\n",
       "Skew:                          -0.151   Prob(JB):                        0.890\n",
       "Kurtosis:                       2.857   Cond. No.                         2.53\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "\"\"\""
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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3d3bfF9zVQxsA4BiCH4ZY/s4X2rSzRtKxF/o0Od365xsnnvXvGT1ioIalxKqq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\nAw8YXRKCiOAHAHRz+PBh3Xb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      "text/plain": [
       "<matplotlib.figure.Figure at 0x111d830d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1. Difference in Hippocampal volume between patients and controls\n",
    "\n",
    "# Plot the difference between groups\n",
    "sns.stripplot(x='G', y='H', data=test_df, jitter=True)\n",
    "#sns.swarmplot(x='G', y='H', data=test_df)\n",
    "\n",
    "# Statistical test: H is different depending on G\n",
    "res=smf.ols(formula=\"H ~ C(G)\",data=test_df).fit();\n",
    "# print(res.f_pvalue);\n",
    "res.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5.3 Change in volume with age"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>            <td>H</td>        <th>  R-squared:         </th> <td>   0.007</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>  -0.013</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>  0.3571</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Thu, 02 Mar 2017</td> <th>  Prob (F-statistic):</th>  <td> 0.553</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>19:52:10</td>     <th>  Log-Likelihood:    </th> <td> -411.00</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>    50</td>      <th>  AIC:               </th> <td>   826.0</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>    48</td>      <th>  BIC:               </th> <td>   829.8</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     1</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "      <td></td>         <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th> <th>[95.0% Conf. Int.]</th> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th> <td> 9058.4039</td> <td>  378.240</td> <td>   23.949</td> <td> 0.000</td> <td> 8297.901  9818.907</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>A</th>         <td>  -11.0560</td> <td>   18.501</td> <td>   -0.598</td> <td> 0.553</td> <td>  -48.254    26.142</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td> 0.215</td> <th>  Durbin-Watson:     </th> <td>   2.518</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.898</td> <th>  Jarque-Bera (JB):  </th> <td>   0.133</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td>-0.118</td> <th>  Prob(JB):          </th> <td>   0.935</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 2.909</td> <th>  Cond. No.          </th> <td>    59.7</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                      H   R-squared:                       0.007\n",
       "Model:                            OLS   Adj. R-squared:                 -0.013\n",
       "Method:                 Least Squares   F-statistic:                    0.3571\n",
       "Date:                Thu, 02 Mar 2017   Prob (F-statistic):              0.553\n",
       "Time:                        19:52:10   Log-Likelihood:                -411.00\n",
       "No. Observations:                  50   AIC:                             826.0\n",
       "Df Residuals:                      48   BIC:                             829.8\n",
       "Df Model:                           1                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [95.0% Conf. Int.]\n",
       "------------------------------------------------------------------------------\n",
       "Intercept   9058.4039    378.240     23.949      0.000      8297.901  9818.907\n",
       "A            -11.0560     18.501     -0.598      0.553       -48.254    26.142\n",
       "==============================================================================\n",
       "Omnibus:                        0.215   Durbin-Watson:                   2.518\n",
       "Prob(Omnibus):                  0.898   Jarque-Bera (JB):                0.133\n",
       "Skew:                          -0.118   Prob(JB):                        0.935\n",
       "Kurtosis:                       2.909   Cond. No.                         59.7\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "\"\"\""
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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Cs/EECZKBEUNnIRDAUt/0xcKiNfsQxmAXpqKchSkDWCISiah6Q63uebhW1es3KvK/yOCf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\nAAAk/X9HLtW55CVgWgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1187874d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1. Change in Hippocampal volume with Age\n",
    "# (Our null hypothesis is that there is no change)\n",
    "\n",
    "# Plot a scatter plot with Hippocampal volume vs. Age\n",
    "test_df.plot(x='A',y='H',kind='scatter')\n",
    "\n",
    "# Statistical test: H changes with A\n",
    "res=smf.ols(formula=\"H ~ A\",data=test_df).fit();\n",
    "# print(res.f_pvalue);\n",
    "res.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5.4 Difference in rate of change in patients vs controls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>            <td>H</td>        <th>  R-squared:         </th> <td>   0.009</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>  -0.056</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>  0.1381</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Thu, 02 Mar 2017</td> <th>  Prob (F-statistic):</th>  <td> 0.937</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>19:52:10</td>     <th>  Log-Likelihood:    </th> <td> -410.96</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>    50</td>      <th>  AIC:               </th> <td>   829.9</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>    46</td>      <th>  BIC:               </th> <td>   837.6</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     3</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "       <td></td>          <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th> <th>[95.0% Conf. Int.]</th> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th>   <td> 9130.3140</td> <td>  514.527</td> <td>   17.745</td> <td> 0.000</td> <td> 8094.624  1.02e+04</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>C(G)[T.2]</th>   <td> -172.2774</td> <td>  779.788</td> <td>   -0.221</td> <td> 0.826</td> <td>-1741.908  1397.354</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>A</th>           <td>  -15.1721</td> <td>   24.801</td> <td>   -0.612</td> <td> 0.544</td> <td>  -65.093    34.749</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>A:C(G)[T.2]</th> <td>    9.9169</td> <td>   38.291</td> <td>    0.259</td> <td> 0.797</td> <td>  -67.159    86.993</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td> 0.190</td> <th>  Durbin-Watson:     </th> <td>   2.517</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.909</td> <th>  Jarque-Bera (JB):  </th> <td>   0.100</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td>-0.102</td> <th>  Prob(JB):          </th> <td>   0.951</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 2.921</td> <th>  Cond. No.          </th> <td>    150.</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                      H   R-squared:                       0.009\n",
       "Model:                            OLS   Adj. R-squared:                 -0.056\n",
       "Method:                 Least Squares   F-statistic:                    0.1381\n",
       "Date:                Thu, 02 Mar 2017   Prob (F-statistic):              0.937\n",
       "Time:                        19:52:10   Log-Likelihood:                -410.96\n",
       "No. Observations:                  50   AIC:                             829.9\n",
       "Df Residuals:                      46   BIC:                             837.6\n",
       "Df Model:                           3                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "===============================================================================\n",
       "                  coef    std err          t      P>|t|      [95.0% Conf. Int.]\n",
       "-------------------------------------------------------------------------------\n",
       "Intercept    9130.3140    514.527     17.745      0.000      8094.624  1.02e+04\n",
       "C(G)[T.2]    -172.2774    779.788     -0.221      0.826     -1741.908  1397.354\n",
       "A             -15.1721     24.801     -0.612      0.544       -65.093    34.749\n",
       "A:C(G)[T.2]     9.9169     38.291      0.259      0.797       -67.159    86.993\n",
       "==============================================================================\n",
       "Omnibus:                        0.190   Durbin-Watson:                   2.517\n",
       "Prob(Omnibus):                  0.909   Jarque-Bera (JB):                0.100\n",
       "Skew:                          -0.102   Prob(JB):                        0.951\n",
       "Kurtosis:                       2.921   Cond. No.                         150.\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "\"\"\""
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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5lJCQoNLSUqNLwDBF61sKTKbESGOOByKZLRgMBoe+LPpZPSWaWb+v1au6h9z9HqxGziEw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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1187b5b10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 2. Difference in the change of the hippocampus between patients and controls\n",
    "# Our null hypothesis is that there is no difference\n",
    "\n",
    "# Plot a scatter plot with Hippocampal volume vs. Age\n",
    "ax = test_df.loc[(test_df.G==1)].plot(x='A',y='H',kind='scatter', color='Red')\n",
    "test_df.loc[(test_df.G==2)].plot(x='A',y='H',kind='scatter', color='Green', ax=ax)\n",
    "\n",
    "# Statistical test: H changes with A\n",
    "res=smf.ols(formula=\"H ~ A + C(G) + A * C(G)\",data=test_df).fit();\n",
    "# print(res.f_pvalue);\n",
    "res.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 6. Brain growth dynamics (from BrainBox)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# token (expires in 24h)\n",
    "token = \"2ycjtkpbtgyo8p9nyomlyds4iqvhb3m9srcvaehr99mcgnwmi\"\n",
    "\n",
    "# Get data from BrainBox\n",
    "prj_url=\"http://brainbox.pasteur.fr/project/json/nihpd2?token=lfupqrrc5k5zsemiw89rjqm94pfogvi\"\n",
    "res=url.urlopen(prj_url)\n",
    "txt=res.read()\n",
    "prj=json.loads(txt)\n",
    "N = len(prj['files']['list'])\n",
    "\n",
    "arr = []\n",
    "for isub in range(0,N):\n",
    "    bb_url=\"http://brainbox.pasteur.fr/mri/json?url=\"+prj['files']['list'][isub]+\"&token=\"+token\n",
    "    res=url.urlopen(bb_url)\n",
    "    txt=res.read()\n",
    "    mri=json.loads(txt)\n",
    "    arr.append(mri['mri']['annotations']['nihpd2'])\n",
    "\n",
    "cols = map(lambda x: x.encode('ascii'),arr[0].keys())\n",
    "Ncols = len(cols)\n",
    "df=pd.DataFrame(index=range(N),columns=cols)\n",
    "\n",
    "for i in range(N):\n",
    "    for j in range(Ncols):\n",
    "        df.at[i,cols[j]]=arr[i][cols[j]]['data']\n",
    "\n",
    "# Save the data frame\n",
    "df.to_csv('nihpd2.csv', sep='\\t', encoding='utf-8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "!open ."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0. [0] http://brainbox.pasteur.fr/data/0f42c6c924ac7f36dcf8e878e9862272/ulxg15ukveryhkt9.mgz\n",
      "Unable to read\n",
      "1. [1] http://brainbox.pasteur.fr/data/822cf4f30e7a275583dee410fdf523c1/a3mgesn9a7vqjjor.mgz\n",
      "Unable to read\n"
     ]
    }
   ],
   "source": [
    "# Compute total segmented volume\n",
    "vols = np.ndarray((N,))\n",
    "subj = []\n",
    "age = np.ndarray((N,))\n",
    "sex = []\n",
    "\n",
    "# Get individual mri annotations\n",
    "for isub in range(0,N):\n",
    "    bb_url=\"http://brainbox.pasteur.fr/mri/json?url=\"+prj['files']['list'][isub]+\"&token=\"+token\n",
    "    res=url.urlopen(bb_url)\n",
    "    txt=res.read()\n",
    "    mri=json.loads(txt)\n",
    "\n",
    "    # Get SubjID, Age and Sex\n",
    "    #subj.append(str(mri['mri']['annotations']['nihpd2']['SubjectID']['data']))\n",
    "    #sex.append(str(mri['mri']['annotations']['nihpd2']['Sex']['data']))\n",
    "    #age[isub] = mri['mri']['annotations']['nihpd2']['Age']['data'];\n",
    "    \n",
    "    # Get voxel dimensions\n",
    "    voxDim = float(mri['pixdim'][0]*mri['pixdim'][1]*mri['pixdim'][2])\n",
    "    \n",
    "    # Search for specific atlases within the annotations\n",
    "    natlases = len(mri['mri']['atlas'])\n",
    "    base = \"http://brainbox.pasteur.fr\"+mri['url']\n",
    "    index = -1\n",
    "    for i in range(0,natlases):\n",
    "        if 'name' in mri['mri']['atlas'][i] and mri['mri']['atlas'][i]['name'] == 'aseg': # ICV':\n",
    "            index = i\n",
    "            filename = mri['mri']['atlas'][i]['filename']\n",
    "            print str(isub)+\". [\" + str(index) + \"] \" + base + filename\n",
    "            break\n",
    "    if index<0:\n",
    "        continue\n",
    "\n",
    "    # Load atlas\n",
    "    atlas_url = base + filename\n",
    "    # print atlas_url\n",
    "    f=url.urlopen(atlas_url)\n",
    "    #local_file = open(filename, \"wb\")\n",
    "    #local_file.write(f.read())\n",
    "    #local_file.close()\n",
    "\n",
    "    sum = 0\n",
    "    try:\n",
    "        #img = nib.load(filename)\n",
    "        img = nib.load(f)\n",
    "        dim = img.shape;\n",
    "        # d = plotting.plot_img(img,cmap=plotting.cm.purple_green)\n",
    "        data = np.reshape(img.get_data(),dim[0]*dim[1]*dim[2]);\n",
    "        sum = np.sum(data>0)\n",
    "    except:\n",
    "        print \"Unable to read\"\n",
    "        pass\n",
    "    \n",
    "    vols[isub]=sum*voxDim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "f=url.urlopen('http://brainbox.pasteur.fr/data/0f42c6c924ac7f36dcf8e878e9862272/ulxg15ukveryhkt9.mgz')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "img = nib.MGHImage.from_file_map?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "img = nib.MGHImage.from_files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "img = nib.MGHImage.from_image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dyn_df=pd.DataFrame({'ICV':vols, 'SubjectID':subj, 'Age':age, 'Sex':sex});"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1177cb0d0>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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B3qrzOB1W5pXmmF3OqPP1xZNx2K38Zmc1PaFes8sRuSaFCxEZtDNNXpovdjOv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\n/wVpRAd+6YZVsgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117780c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(dyn_df.ICV)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11a15a890>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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hFQyKaO9zw2xQw2rSyF0OTUNJoQ3rV+aie8CLn799HhIfykMUdRj6FFad/R4E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\n5CAoPJp7huHzi5iflwCBzwe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wcmGa3OUQEU3brHQL/mHTMliMGvzy3Yv4wwctcpcUUxj6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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10df08c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(dyn_df.Age)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x10bcedf50>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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PZ+PGjYSHh7v3IdqW2rXfT1jMxBlNbXIt+Nr1Sk6Ya4gzaWX9EuEVIZ16M+jm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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a1e9510>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot('Age', 'ICV', hue='SubjectID', data=dyn_df, fit_reg=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dyn_df.to_csv(\"dyn.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 578,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from scipy.optimize import minimize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 581,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def gompertzSurface(A,B,alpha,beta,v,t):\n",
    "    \"\"\"A Gompertz surface function\"\"\"\n",
    "    sqErr = np.pow(v-A*np.exp(-B*np.exp(-t/(alpha+beta*A))),2)\n",
    "    return sqErr;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 582,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimization terminated successfully.\n",
      "         Current function value: 0.000000\n",
      "         Iterations: 339\n",
      "         Function evaluations: 571\n"
     ]
    }
   ],
   "source": [
    "x0 = np.array([1.3, 0.7, 0.8, 1.9, 1.2])\n",
    "res = minimize(gompertzSurface, x0, method='nelder-mead',options={'xtol': 1e-8, 'disp': True})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 583,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 1.  1.  1.  1.  1.]\n"
     ]
    }
   ],
   "source": [
    "print(res.x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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