For the full manuscript see: https://doi.org/10.1111/epi.17565

Links to the fully processed functional connectivity matrices are available here: https://osf.io/xs2q6/

We provide a stand-alone Jupyter notebook as a companion to the manuscript. The notebook runs all the analyses required to generate the figures and findings in the manuscript.

Please make sure you have Anaconda installed. After cloning, open the repository folder in a terminal window and type:

conda env create -f bitle_segregation.yml

this will create a new Python virtual environment with all the required libraries

Activate the environment with:

conda activate bitle_segregation

In order to run the analysis, clone this repository, install the conda virtual environment and download the processed functional connectivity matrices from the OSF link above. After download, place the downloaded binary file in the /data folder and open the the code/processing_analysis_final.ipynb notebook. If the conda environment was setup appropriately and the connectivity matrices were placed in the correct folder, everything should run correctly.