mne.datasets.fetch_aparc_sub_parcellation#

mne.datasets.fetch_aparc_sub_parcellation(subjects_dir=None, verbose=None)[source]#

Fetch the modified subdivided aparc parcellation.

This will download and install the subdivided aparc parcellation :footcite:’KhanEtAl2018’ files for FreeSurfer’s fsaverage to the specified directory.

Parameters

subjects_dirstr | None: The subjects directory to use. The file will be placed in subjects_dir + '/fsaverage/label'.
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.

References

Examples using `mne.datasets.fetch_aparc_sub_parcellation`#

Plot a cortical parcellation

mne.datasets.eegbci.standardize

mne.datasets.fetch_fsaverage

mne.datasets.fetch_aparc_sub_parcellation#

Examples using mne.datasets.fetch_aparc_sub_parcellation#

Examples using `mne.datasets.fetch_aparc_sub_parcellation`#