mne-tools / mne-tools/mne-python
Temporal connectivity metrics
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Description
Dear all,
at the lab, we are developing a set of functions for directed functional connectivity analysis in the time-domain. These measures are complementary to the frequency-domain metrics, which are already present in mne.connectivity.spectral_connectivity
The list of metrics will not be exhaustive, but we would like to have simple measures to be accessible from MNE. These may include covariance-based Granger causality, Transfer Entropy.
Has anyone already started a similar project in MNE or digging into this issue?
What is your feeling about a similar project? Would a mne.connectivity.temporal_connectivity function be worth the effort?
Thanks for your comments and help
Andrea
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the existing mne.connectivity.spectral_connectivity entry point and the issue discussion. The proposed work has no agreed metric list or implementation scope; it would need a decided set of temporal connectivity measures and a defined temporal_connectivity API before completion can be judged.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100