AtlasReader

This package provides a Python interface for generating coordinate tables and region labels from statistical MRI images. It is intended for neuroscience researchers and neuroimaging enthusiasts who are looking for a quick and easy way to localize and extract relevant peak and cluster information and create informative and nice looking overview figures.

Please check out our interactive notebook on mybinder.org to see atlasreader in action:

If you are using atlasreader in your publication, please cite the following paper:

Notter M. P., Gale D., Herholz P., Markello R. D., Notter-Bielser M.-L., & Whitaker K. (2019). AtlasReader: A Python package to generate coordinate tables, region labels, and informative figures from statistical MRI images. Journal of Open Source Software, 4(34), 1257, https://doi.org/10.21105/joss.01257.

Installation

This package requires Python >= 3.6. Provided you have pip at your disposal, installing atlasreader is as simple as this:

pip install atlasreader

If you want to build atlasreader directly from source code, use the following code:

git clone https://github.com/miykael/atlasreader.git
cd atlasreader
python setup.py install

Usage

AtlasReader can either be run through the command line interface or directly within Python. The commands to do so are rather straight forward. Let's say you want to apply AtlasReader to a statistical image called file_name = 'stat_img.nii', and only want to keep clusters if they have more than 5 voxels:

Python

from atlasreader import create_output
create_output(file_name, cluster_extent=5)

Command Line

atlasreader file_name 5

Outputs

After executing AtlasReader on a given image, four kinds of outputs are generated:

1. An overview figure that shows the results within the whole brain at once

2. For each cluster, an informative figure showing the sagittal, coronal and transversal plane centered on the main peak of the cluster

3. A csv file containing relevant information about the peak of each cluster. This table contains the cluster association and location of each peak, its signal value at this location, the cluster extent (in mm, not in number of voxels), as well as the membership of each peak, given a particular atlas.

4. A csv file containing relevant information about each cluster. Table showing relevant information for the cluster extent of each ROI. This table contains the cluster association and location of each peak, the mean value within the cluster, the cluster extent (in mm, not in number of voxels), as well as the membership of each cluster, given a particular atlas.

Additional parameters

atlasreader.create_output has many additional parameters that allow you to change the way the clusters are generated and what kind of outputs are generated:

• filename: Niimg_like A 3D statistical image.
• cluster_extent: int Minimum number of contiguous voxels required to consider a cluster in filename
• atlas: str or list, optional Name of atlas(es) to consider for cluster analysis. Default: 'default'
• voxel_thresh: float, optional Threshold to apply to stat_img. Use direction to specify the directionality of the threshold. If a negative number is provided a percentile threshold is used instead, where the percentile is determined by the equation 100 - voxel_thresh. Default: 1.96
• direction: str, optional Specifies the direction in which voxel_thresh should be applied. Possible values are 'both', 'pos' or 'neg'. Default: 'both'
• prob_thresh: int, optional Probability (percentage) threshold to apply to atlas, if it is probabilistic. Default: 5
• min_distance: float, optional Specifies the minimum distance (in mm) required between sub-peaks in a cluster. If None, sub-peaks will not be examined and only the primary cluster peak will be reported. Default: None
• outdir: str or None, optional Path to desired output directory. If None, generated files will be saved to the same folder as filename. Default: None
• glass_plot_kws: dict or None, optional Additional keyword arguments to pass to nilearn.plotting.plot_glass_brain. Default: None
• stat_plot_kws: dict or None, optional Additional keyword arguments to pass to nilearn.plotting.plot_stat_map. Default: None

For a more detailed explanation about the toolbox and the effect of the parameters above, see the example notebook. You can checkout the notebook either interactively via mybinder.org or explore a read-only version on nbviewer.jupyter.org.

How to get involved

We're thrilled to welcome new contributors!

If you're interested in getting involved, you should start by reading our contributing guidelines.

Once you're done with that, you can take a look at our list of active issues and let us know if there's something you'd like to begin working on.

If you've found a bug, are experiencing a problem, or have a question, create a new issue with some information about it!

Licence

AtlasReader is licensed under the BSD-3 license; however, the atlases it uses are separately licensed under more restrictive frameworks. By using AtlasReader, you agree to abide by the license terms of the individual atlases. Information on these terms can be found online at: https://github.com/miykael/atlasreader/tree/master/atlasreader/data