Skip to content

Connectivity algorithms that leverage the MNE-Python API.

License

Notifications You must be signed in to change notification settings

vss245/mne-connectivity

This branch is 190 commits ahead of, 173 commits behind mne-tools/mne-connectivity:main.

Folders and files

NameName
Last commit message
Last commit date

Latest commit

839b7f6 · Nov 30, 2023
Jan 9, 2023
Nov 25, 2022
Jan 7, 2022
Jan 10, 2023
Sep 7, 2022
Nov 30, 2023
Nov 21, 2022
Jul 8, 2021
Jul 8, 2021
Jan 13, 2022
Feb 15, 2022
May 21, 2021
Jan 13, 2022
Oct 5, 2022
Oct 5, 2022
Oct 3, 2022
Jun 9, 2021
Nov 21, 2022
Jun 9, 2021
Jan 10, 2023
Jan 9, 2023
Jan 20, 2022
Aug 18, 2021
Feb 15, 2022

Repository files navigation

GH Circle Azure Codecov PyPI PyPI_Release conda-forge

MNE-Connectivity

MNE-Connectivity is an open-source Python package for connectivity and related measures of MEG, EEG, or iEEG data built on top of the MNE-Python API. It includes modules for data input/output, visualization, common connectivity analysis, and post-hoc statistics and processing.

This project was initially ported over from mne-python starting v0.23, by Adam Li as part of Google Summer of Code 2021. Subsequently v0.1 and v0.2 releases were done as part of GSoC period. Future development will occur in subsequent versions.

Documentation

Stable MNE-Connectivity documentation is available online.

Installing MNE-Connectivity

To install the latest stable version of MNE-Connectivity, you can use pip in a terminal:

pip install -U mne-connectivity

For more complete instructions and more advanced installation methods (e.g. for the latest development version), see the installation guide.

Get the latest code

To install the latest version of the code using pip open a terminal and type:

pip install -U https://github.com/mne-tools/mne-connectivity/archive/main.zip

To get the latest code using git, open a terminal and type:

git clone https://github.com/mne-tools/mne-connectivity.git

Alternatively, you can also download a zip file of the latest development version.

Contributing to MNE-Connectivity

Please see the documentation on the MNE-Connectivity homepage:

https://github.com/mne-tools/mne-connectivity/blob/main/CONTRIBUTING.md

Forum

https://mne.discourse.group

A Note About Connectivity

In the neuroscience community as of 2021, the term "functional connectivity" can have many different meanings and comprises many different measures. Some of these measures are directed (i.e. try to map a statistical causal relationship between brain regions), others are non-directed. Please note that the interpretation of your functional connectivity measure depends on the data and underlying assumptions. For a taxonomy of functional connectivity measures and information on the interpretation of those measures, we refer to Bastos and Schoffelen.

In mne-connectivity, we do not claim that any of our measures imply causal connectivity.

About

Connectivity algorithms that leverage the MNE-Python API.

Resources

License

Citation

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 98.2%
  • Other 1.8%