mne.stats.summarize_clusters_stc#
- mne.stats.summarize_clusters_stc(clu, p_thresh=0.05, tstep=1.0, tmin=0, subject='fsaverage', vertices=None)[source]#
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 time step between samples of the original
STC, in seconds (i.e.,1 / stc.sfreq). Defaults to1, which will yield a colormap indicating cluster duration measured in samples rather than seconds.- tmin
float|int The time of the first sample.
- subject
str The name of the subject.
- vertices
listofarray| instance ofSourceSpaces|None The vertex numbers associated with the source space locations. Defaults to None. If None, equals
[np.arange(10242), np.arange(10242)]. Can also be an instance of SourceSpaces to get vertex numbers from.Changed in version 0.21: Added support for SourceSpaces.
- clu
- Returns
- outinstance of
SourceEstimate A summary of the clusters. The first time point in this SourceEstimate object is the summation of all the clusters. Subsequent time points contain each individual cluster. The magnitude of the activity corresponds to the duration spanned by the cluster (duration units are determined by
tstep).Changed in version 0.21: Added support for volume and mixed source estimates.
- outinstance of
Examples using mne.stats.summarize_clusters_stc#
Permutation t-test on source data with spatio-temporal clustering
2 samples permutation test on source data with spatio-temporal clustering
Repeated measures ANOVA on source data with spatio-temporal clustering