This repository contains scripts, and notebooks for the following article Unraveling reproducible dynamic states of individual brain functional parcellation.
Click on this link to show an example of generating dynamic states of parcellations:
Here is a brief description of each item in the repository:
dynpar
- prepare_fmri_img.py - Python script used to extract functional MRI signal from functional scans.
- static_parcellation.py - Python script used to replicate static parcellations.
- dynamic_parcellation.py - Python script that inherits from the static_parcellation.py and it includes further functions to generate state stability maps.
Notebooks
- Generate_states_stability_maps_dynpar.ipynb - Jupyter notebook that generates state stability maps for one individual from the test-retest NYC dataset. All the data is automatically downloaded by the Nilearn grabber.