dynFC: CoDe-Neuro's Dynamic Functional Connectivity Tools
This repository contains 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 in the relevant tab.
Please do not hesitate to suggest improvements to this module.
Installation
The easiest way to install dynfc is via pip (PyPI) with the command below.
pip install dynfc
If you would like to specify a version use the following command to install version 0.0.1a1, for example.
pip install dynfc==0.0.1a1
Alternatively one can clone this repository and add it to a project. For that use the following command.
git clone https://github.com/CoDe-Neuro/
Built on
The data used for testing was obtained from the repository brain-networks/edge-ts. [no license]
Please find references for the methods available here in the relevant docs for each function.
Funding
This project is funded by a Wellcome Trust Seed Award in Science [217316/Z/19/Z].
License
MIT License
Copyright (c) 2021 Lucas G. S. França and Dafnis Batallé
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