mne.spatial_src_adjacency#

mne.spatial_src_adjacency(src, dist=None, verbose=None)[source]#

Compute adjacency for a source space activation.

Parameters
srcinstance of SourceSpaces

The source space. It can be a surface source space or a volume source space.

distfloat, or None

Maximal geodesic distance (in m) between vertices in the source space to consider neighbors. If None, immediate neighbors are extracted from an ico surface.

verbosebool | str | int | None

Control verbosity of the logging output. If None, use the default verbosity level. See the logging documentation and mne.verbose() for details. Should only be passed as a keyword argument.

Returns
adjacencycoo_matrix

The adjacency matrix describing the spatial graph structure.

Examples using mne.spatial_src_adjacency#

Permutation t-test on source data with spatio-temporal clustering

Permutation t-test on source data with spatio-temporal clustering

Permutation t-test on source data with spatio-temporal clustering
2 samples permutation test on source data with spatio-temporal clustering

2 samples permutation 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

Repeated measures ANOVA on source data with spatio-temporal clustering

Repeated measures ANOVA on source data with spatio-temporal clustering

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