Dear MNE community,
I am working on a project with low-density source localization, from which I would like to show the results on a parcellated cortex instead of per source point. Is there an easy way to show these results, extracted via mne.extract_label_time_course(…)?
I know that it can be done by setting all the source points in a certain area to the value in the label and thus reconstructing the full matrix, however, I was trying to find a more straightforward solution.
Thanks for your help!
Kind regards,
Steven