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:
- subjectstr
- The FreeSurfer subject name. 
- parcstr
- The parcellation to use, e.g., - 'aparc'or- 'aparc.a2009s'.
- hemistr
- The hemisphere from which to read the parcellation, can be - 'lh',- 'rh', or- 'both'.
- surf_namestr
- Surface used to obtain vertex locations, e.g., - 'white',- 'pial'.
- annot_fnamepath-like | None
- Filename of the - .annotfile. If not None, only this file is read and the arguments- parcand- hemiare ignored.
- regexpstr
- 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 the- SUBJECTS_DIRenvironment 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 and- mne.verbose()for details. Should only be passed as a keyword argument.
 
- subject
- Returns:
 - See also 
Examples using mne.read_labels_from_annot#
 
Compute MNE inverse solution on evoked data with a mixed source space
 
Visualize source leakage among labels using a circular graph
 
Cortical Signal Suppression (CSS) for removal of cortical signals
 
 
 
 
 
