dynFC: CoDe-Neuro's Dynamic Functional Connectivity Tools

This is the documentation page for 'dynfc', a Python module consisting of a set of tools developed to infer connectivity from fMRI (BOLD) signals. The module contains both phase-lock and correlation (+ cofluctuation) methods. Please be aware that this is still a develepment version and so may contain bugs and limited functionalities.

If you have any questions or suggestions, please open an issue.

Please do not hesitate to suggest improvements to this module.

Citation

:warning: Please, use the following article for reference:

Lucas G. S. França, Judit Ciarrusta, Oliver Gale-Grant, Sunniva Fenn-Moltu, Sean Fitzgibbon, Andrew Chew, Shona Falconer, Ralica Dimitrova, Lucilio Cordero-Grande, Anthony N Price, Emer Hughes, Jonathan O’Muircheartaigh, Eugene Duff, Jetro J Tuulari, Gustavo Deco, Serena J Counsell, Joseph V Hajnal, Chiara Nosarti, Tomoki Arichi, A David Edwards, Grainne McAlonan, Dafnis Batalle. bioRxiv 2022.11.16.516610; doi: https://doi.org/10.1101/2022.11.16.516610

Built on

Numpy	Scipy

Project layout

setup.py    
dynfc/
    __init__.py
    ...       # Python script files  
docs/
    index.md  # The documentation homepage.
    ...       # Other markdown pages, images and other files.
tests/        # Tests folder
    __init__.py
    test_functions.py

Funding

This project is funded by a Wellcome Trust Seed Award in Science [217316/Z/19/Z].