Skip to content

Data Challenge on neurodevelopmental disorders detection

License

Notifications You must be signed in to change notification settings

neuroanatomy/braindev-challenge

Repository files navigation

IMaging-PsychiAtry Challenge (IMPAC): Predicting neurodevelopmental disorders from MRI data

Data

We merged two datasets preprocessed with FreeSurfer:

  • The Autism Brain Imaging Data Exchange (ABIDE)
  • Attention Deficit Hyperactivity Disorder (ADHD-200)

And indicated neurodevelopmental disorders in feature fx as 0 for control and 1 for diagnosed subjects.

Getting started

This starting kit requires Python and the following dependencies:

  • numpy
  • scipy
  • pandas
  • scikit-learn
  • matplolib
  • seaborn
  • nilearn
  • jupyter
  • ramp-workflow

Therefore, we advise you to install Anaconda distribution which include almost all dependencies.

Execute the jupyter notebook, from the root directory using:

jupyter notebook neurodevelop_starting_kit.ipynb

Install using conda

We provide an environment.yml file which can be used with conda to create a clean environment and install the necessary dependencies.

conda env create -f environment.yml

Then, you can activate the environment using:

conda activate neurodevelop

for Linux and MacOS. In Windows, use the following command instead:

activate neurodevelop

About

Data Challenge on neurodevelopmental disorders detection

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published