`sesameeg.utils`.prior_loc_from_labels¶

sesameeg.utils.prior_loc_from_labels(subject, subjects_dir, fwd, parc, sel_labels, ratio=None)[source]¶

Construct the prior probability of active source locations starting from given FreeSurfer/MNE labels.

Parameters:

subjectstr: Subject name in Freesurfer subjects dir. Only when instantiated by means of prepare_sesame().
subjects_dirstr | None: If not None, this directory will be used as the subjects directory instead of the value set using the SUBJECTS_DIR environment variable. Only when instantiated by means of prepare_sesame()
fwdForward object: The forward solution.
parcstr: The parcellation to use, e.g., 'aparc' or 'aparc.a2009s'.
sel_labelslist of str: The cortical labels to use.
ratiofloat: The ratio of high prior probability cortical areas to low prior probability cortical areas probability value. If None, it is set to 1.

Returns:

prior_loc_arrndarray of float, shape (n_verts, ): The prior probability of active source locations.

Examples using `sesameeg.utils.prior_loc_from_labels`¶