mne.stats.summarize_clusters_stc

mne.stats.summarize_clusters_stc(clu, p_thresh=0.05, tstep=0.001, tmin=0, subject='fsaverage', vertices=None)

Assemble summary SourceEstimate from spatiotemporal cluster results

This helps visualizing results from spatio-temporal-clustering permutation tests

Parameters:

clu : tuple

the output from clustering permutation tests.

p_thresh : float

The significance threshold for inclusion of clusters.

tstep : float

The temporal difference between two time samples.

tmin : float | int

The time of the first sample.

subject : str

The name of the subject.

vertices : list of arrays | None

The vertex numbers associated with the source space locations. Defaults to None. If None, equals `[np.arange(10242), np.arange(10242)]`.

Returns:

out : instance of SourceEstimate