events_data=events_path, event_id=event_id, empty_room=bids_path_er, verbose=False) write_meg_calibration(cal_path, bids_path=bids_path, verbose=False) write_meg_crosstalk(ct_path, bids_path=bids_path, verbose=False) # Write anatomical scan # We pass the MRI landmark coordinates, which will later be required for # automated defacing mri_landmarks = mne.channels.make_dig_montage( lpa=[66.08580, 51.33362, 46.52982], nasion=[41.87363, 32.24694, 74.55314], rpa=[17.23812, 53.08294, 47.01789], coord_frame='mri_voxel') bids_path.datatype = 'anat' write_anat(image=t1w_path, bids_path=bids_path, landmarks=mri_landmarks, verbose=False) # %% # Basic anonymization # ------------------- # Now we're ready to anonymize the dataset! anonymize_dataset(bids_root_in=bids_root, bids_root_out=bids_root_anon) # %% # That's it! Let's have a look at directory structure of the anonymized # dataset.