mne.read_labels_from_annot#
- mne.read_labels_from_annot(subject, parc='aparc', hemi='both', surf_name='white', annot_fname=None, regexp=None, subjects_dir=None, sort=True, verbose=None)[source]#
Read labels from a FreeSurfer annotation file.
Note: Only cortical labels will be returned.
- Parameters:
- subject
str
The FreeSurfer subject name.
- parc
str
The parcellation to use, e.g.,
'aparc'
or'aparc.a2009s'
.- hemi
str
The hemisphere from which to read the parcellation, can be
'lh'
,'rh'
, or'both'
.- surf_name
str
Surface used to obtain vertex locations, e.g.,
'white'
,'pial'
.- annot_fnamepath-like |
None
Filename of the
.annot
file. If not None, only this file is read and the argumentsparc
andhemi
are ignored.- regexp
str
Regular expression or substring to select particular labels from the parcellation. E.g.
'superior'
will return all labels in which this substring is contained.- subjects_dirpath-like |
None
The path to the directory containing the FreeSurfer subjects reconstructions. If
None
, defaults to theSUBJECTS_DIR
environment variable.- sortbool
If true, labels will be sorted by name before being returned.
New in v0.21.0.
- verbosebool |
str
|int
|None
Control verbosity of the logging output. If
None
, use the default verbosity level. See the logging documentation andmne.verbose()
for details. Should only be passed as a keyword argument.
- subject
- Returns:
See also
Examples using mne.read_labels_from_annot
#
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Compute MNE inverse solution on evoked data with a mixed source space
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Visualize source leakage among labels using a circular graph
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Cortical Signal Suppression (CSS) for removal of cortical signals