mne-tools/mne-connectivity

Implement bivariate connectivity statistics from statsmodels and hyppo

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#24 opened on Jul 16, 2021

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enhancementgood first issuehelp wanted

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Description

Describe the problem

Include wrappers for statsmodels, such as granger causality tests (https://www.statsmodels.org/stable/generated/statsmodels.tsa.stattools.grangercausalitytests.html)

Include wrappers for hyppo for multi-scale graph correlation over time (https://hyppo.neurodata.io/tutorials/time_series.html)

Describe your solution

Should include light-weight API wrappers for mne_connectivity.stats and then examples.

Additional context

Note that all these "statistics" are "before" knowing the connectivity structure, but can possibly be used to define "statistically significant" connectivity.

Contributor guide

Research direction
Study the statsmodels Granger causality test API and hyppo time series tutorial. Design lightweight wrapper functions for mne connectivity.stats, then add example usage.
Tech stack
python
Domain
data
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.
Clear
Prerequisites
Python
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
50