mne.channels.read_ch_connectivity¶
-
mne.channels.
read_ch_connectivity
(fname, picks=None)[source]¶ Parse FieldTrip neighbors .mat file.
More information on these neighbor definitions can be found on the related FieldTrip documentation pages.
- Parameters
- fname
str
The file name. Example: ‘neuromag306mag’, ‘neuromag306planar’, ‘ctf275’, ‘biosemi64’, etc.
- picks
str
|list
|slice
|None
Channels to include. Slices and lists of integers will be interpreted as channel indices. In lists, channel type strings (e.g.,
['meg', 'eeg']
) will pick channels of those types, channel name strings (e.g.,['MEG0111', 'MEG2623']
will pick the given channels. Can also be the string values “all” to pick all channels, or “data” to pick data channels. None (default) will pick all channels. Picks Must match the template.
- fname
- Returns
- ch_connectivity
scipy.sparse.csr_matrix
, shape (n_channels, n_channels) The connectivity matrix.
- ch_names
list
The list of channel names present in connectivity matrix.
- ch_connectivity
See also
Notes
This function is closely related to
find_ch_connectivity()
. If you don’t know the correct file for the neighbor definitions,find_ch_connectivity()
can compute the connectivity matrix from 2d sensor locations.