conpy.stats.cluster_threshold¶

conpy.stats.cluster_threshold(con, src, min_size=20, max_spread=0.013, method='single', verbose=None)¶

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.