find_labels

find_labels(info: Info, sub: str = None, subj_dir: str = None, atlas: str = '.a2009s', hot_words: list[str] = None, pct_thresh: float = 0.1) → OrderedDict[str, list[str]][source][source]
Prioritize labels that contain hot_words, otherwise use _pick_label

to find most probable GM

Parameters:

  • info (mne.Info) – The subject to get the labels for

  • sub (str, optional) – The subject to get the labels for, by default None

  • subj_dir (PathLike, optional) – The subjects directory, by default None

  • atlas (str, optional) – The atlas to use, by default “.a2009s”

  • hot_words (list[str], optional)

  • pct_thresh (float, optional)

Returns:

The labels for the electrodes

Return type:

dict[str, list]