Drop-in extra functionalities for nilearn (statistics for neuroimaging in Python)
Project description
Nilearn Extra
Nilearn Extra is a small add-on for Nilearn (Statistics for NeuroImaging in Python). It currently adds some functional connectivity measures to the mix.
Installation
pip install nilearn-extra
Usage
- from nilearn.connectome import ConnectivityMeasure
+ from nilearn_extra.connectome import ConnectivityMeasure
Extra Connectivity Matrices
Nilearn Extra supports two additional connectivity matrices:
- Chatterjee XiCorr (
kind="chatterjee") is a new correlation coefficient as described in Chatterjee (2019). - Transfer Entropy (
kind="transfer entropy") between regions X and Y is amount of uncertainty reduced in Y by knowing the past values of X. Transfer entropy is an asymmetric measure, so is the connectivity matrix.
Optional Dependencies
# transfer entropy connectivity requires `pyinform` package.
pip install pyinform
Contributing
We use GitHub to fork and manage pull requests.
License
BSD 3-Clause License. See the LICENSE file.
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