mne.get_montage_volume_labels#

mne.get_montage_volume_labels(montage, subject, subjects_dir=None, aseg='auto', dist=2)[source]#

Get regions of interest near channels from a Freesurfer parcellation.

Note

This is applicable for channels inside the brain (intracranial electrodes).

Parameters:
montageNone | str | DigMontage

A montage containing channel positions. If a string or DigMontage is specified, the existing channel information will be updated with the channel positions from the montage. Valid strings are the names of the built-in montages that ship with MNE-Python; you can list those via mne.channels.get_builtin_montages(). If None (default), the channel positions will be removed from the Info.

subjectstr

The FreeSurfer subject name.

subjects_dirpath-like | None

The path to the directory containing the FreeSurfer subjects reconstructions. If None, defaults to the SUBJECTS_DIR environment variable.

asegstr

The anatomical segmentation file. Default auto uses aparc+aseg if available and wmparc if not. This may be any anatomical segmentation file in the mri subdirectory of the Freesurfer subject directory.

Changed in version 1.8: Added support for the new default 'auto'.

distfloat

The distance in mm to use for identifying regions of interest.

Returns:
labelsdict

The regions of interest labels within dist of each channel.

colorsdict

The Freesurfer lookup table colors for the labels.

Examples using mne.get_montage_volume_labels#

Working with sEEG data

Working with sEEG data