conpy.select_vertices_in_sensor_range#

conpy.select_vertices_in_sensor_range(inst, dist, info=None, picks=None, trans=None, indices=False, verbose=None)[source]#

Find vertices within given distance to a sensor.

Parameters:

instinstance of Forward | instance of SourceSpaces: The object to select vertices from.
distfloat: The minimum distance between a vertex and the nearest sensor. All vertices for which the distance to the nearest sensor exceeds this limit are discarded.
infoinstance of Info | None: The info structure that contains information about the channels. Only needs to be specified if the object to select vertices from does is an instance of SourceSpaces.
picksarray-like of int | None: Indices of sensors to include in the search for the nearest sensor. If None, the default, only MEG channels are used.
transstr | instance of Transform | None: Either the full path to the head<->MRI transform *-trans.fif file produced during coregistration, or the Transformation itself. If trans is None, an identity matrix is assumed. Only needed when inst is a source space in MRI coordinates.
indices: False | True: If True, return vertex indices instead of vertex numbers. Defaults to False.
verbosebool | str | int | None: If not None, override default verbose level (see mne.verbose() and Logging documentation for more).

Returns:

verticespair of lists | list of int: Either a list of vertex numbers for the left and right hemisphere (if indices==False) or a single list with vertex indices.