conpy.stats.cluster_threshold#

conpy.stats.cluster_threshold(con, src, min_size=20, max_spread=0.013, method='single', verbose=None)[source]#

Threshold connectivity using clustering.

First, connections are grouped into “bundles”. A bundle is a group of connections which start and end points are close together. Then, only bundles with a sufficient amount of connections are retained.

Parameters:

coninstance of Connectivity: Connectivity to threshold.
srcinstance of SourceSpace: The source space for which the connectivity is defined.
min_sizeint: Minimum amount of connections that a bundle must contain in order to be accepted.
max_spreadfloat: Maximum amount the position (in metres) of the start and end points of the connections may vary in order for them to be considered part of the same “bundle”. Defaults to 0.013.
methodstr: Linkage method for fclusterdata. Defaults to ‘single’. See documentation for scipy.cluster.hierarchy.fclusterdata for for more information.
verbosebool | str | int | None: If not None, override default verbose level (see mne.verbose() and Logging documentation for more).

Returns:

thresholded_connectivityinstance of Connectivity: Instance of connectivity with the thresholded data.