Skip to main content

A module for connectivity data analysis with MNE.

Project description

GH Circle Azure Codecov PyPI conda-forge


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.


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

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

git clone

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:


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.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mne-connectivity-0.4.0.tar.gz (90.5 kB view hashes)

Uploaded source

Built Distribution

mne_connectivity-0.4.0-py3-none-any.whl (67.5 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page