pyavs.extract_roi_data

pyavs.extract_roi_data(source_data: ndarray, src: mne.SourceSpaces, roi_labels: List[str], subjects_dir: str | None = None, subject: str = 'fsaverage', method: str = 'mean', verbose: bool = True) → Dict[str, ndarray][source]

Extract data from regions of interest.

Parameters:

  • source_data (np.ndarray) – Source space data with shape (n_epochs, n_sources, n_times)

  • src (mne.SourceSpaces) – Source space

  • roi_labels (list of str) – List of ROI label names

  • subjects_dir (str, optional) – FreeSurfer subjects directory (default: None, uses get_default_subjects_dir())

  • subject (str, optional) – Subject name (default: ‘fsaverage’)

  • method (str, optional) – Aggregation method (‘mean’, ‘pca’, ‘max’) (default: ‘mean’)

  • verbose (bool, optional) – Whether to print progress information (default: True)

Returns:

Dictionary mapping ROI names to extracted data

Return type:

dict