mne.stc_to_label#
- mne.stc_to_label(stc, src=None, smooth=True, connected=False, subjects_dir=None, verbose=None)[source]#
Compute a label from the non-zero sources in an stc object.
- Parameters:
- stc
SourceEstimate
The source estimates.
- src
SourceSpaces
|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.
- smooth
bool
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).
- connected
bool
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_dirpath-like |
None
The path to the directory containing the FreeSurfer subjects reconstructions. If
None
, defaults to theSUBJECTS_DIR
environment variable.- verbose
bool
|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.
- stc
- Returns:
- labels
list
ofLabel
|list
oflist
ofLabel
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.
- labels
Examples using mne.stc_to_label
#
Generate a functional label from source estimates