mne.stc_to_label

mne.stc_to_label(stc, src=None, smooth=True, connected=False, subjects_dir=None, verbose=None)

Compute a label from the non-zero sources in an stc object.

Parameters

stcSourceEstimate

The source estimates.

srcSourceSpaces | str | None

The source space over which the source estimates are defined. If it’s a string it should the subject name (e.g. fsaverage). Can be None if stc.subject is not None.

smoothbool

Fill in vertices on the cortical surface that are not in the source space based on the closest source space vertex (requires src to be a SourceSpace).

connectedbool

If True a list of connected labels will be returned in each hemisphere. The labels are ordered in decreasing order depending of the maximum value in the stc.

subjects_dirstr | None

The path to the FreeSurfer subjects reconstructions. It corresponds to FreeSurfer environment variable SUBJECTS_DIR.

verbosebool, str, int, or None

If not None, override default verbose level (see mne.verbose() and Logging documentation for more). If used, it should be passed as a keyword-argument only.

Returns

labelslist of Label | list of list of Label

The generated labels. If connected is False, it returns a list of Labels (one per hemisphere). If no Label is available in a hemisphere, None is returned. If connected is True, it returns for each hemisphere a list of connected labels ordered in decreasing order depending of the maximum value in the stc. If no Label is available in an hemisphere, an empty list is returned.

Examples using mne.stc_to_label

Generate a functional label from source estimates

mne.split_label mne.stc_near_sensors