mne-tools/mne-connectivity

ITC on continuous data

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#106 opened on Sep 9, 2022

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 (3 comments) (0 reactions) (0 assignees)Python (44 forks)auto 404
enhancementgood first issuehelp wanted

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Description

I was asked this many times and I had now a few minutes to do a proof of concept.

See:

https://gist.github.com/agramfort/e282cb850a790e74dde39582edf89485

it computes phase synchrony (ITC?) by averaging overtime in a raw object. So it does not average over epochs to look for fixed phase.

hope this will help some.

Disclaimer this is not tested. It's just a 30 mins hack to help a former student...

Contributor guide

Research direction
Implement the ITC computation on continuous raw data as described in the provided gist. Study the phase synchrony calculation and adapt it to work with MNE Python's Raw object. Ensure proper handling of multiple channels and frequency bands.
Tech stack
python
Domain
databackend
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Mostly clear
Prerequisites
PythonGit
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60