mne.spatio_temporal_dist_connectivity¶

mne.spatio_temporal_dist_connectivity(src, n_times, dist, verbose=None)[source]¶

Compute connectivity from distances in a source space and time instants.

Parameters:

Parameters:	src : instance of SourceSpaces The source space must have distances between vertices computed, such that src[‘dist’] exists and is useful. This can be obtained using MNE with a call to mne_add_patch_info with the –dist option. n_times : int Number of time points dist : float Maximal geodesic distance (in m) between vertices in the source space to consider neighbors. verbose : bool, str, int, or None If not None, override default verbose level (see `mne.verbose()` and Logging documentation for more).
Returns:	connectivity : sparse COO matrix The connectivity matrix describing the spatio-temporal graph structure. If N is the number of vertices in the source space, the N first nodes in the graph are the vertices are time 1, the nodes from 2 to 2N are the vertices during time 2, etc.

src : instance of SourceSpaces

The source space must have distances between vertices computed, such that src[‘dist’] exists and is useful. This can be obtained using MNE with a call to mne_add_patch_info with the –dist option.

n_times : int

Number of time points

dist : float

Maximal geodesic distance (in m) between vertices in the source space to consider neighbors.

verbose : bool, str, int, or None

If not None, override default verbose level (see mne.verbose() and Logging documentation for more).

Returns:

connectivity : sparse COO matrix

The connectivity matrix describing the spatio-temporal graph structure. If N is the number of vertices in the source space, the N first nodes in the graph are the vertices are time 1, the nodes from 2 to 2N are the vertices during time 2, etc.