""" .. _ex-cerebellum-source-space: ============================================== Generate a left cerebellum volume source space ============================================== Generate a volume source space of the left cerebellum and plot its vertices relative to the left cortical surface source space and the FreeSurfer segmentation file. """ # Author: Alan Leggitt # # License: BSD-3-Clause # Copyright the MNE-Python contributors. # %% import mne from mne import setup_source_space, setup_volume_source_space from mne.datasets import sample print(__doc__) data_path = sample.data_path() subjects_dir = data_path / "subjects" subject = "sample" aseg_fname = subjects_dir / "sample" / "mri" / "aseg.mgz" # %% # Setup the source spaces # setup a cortical surface source space and extract left hemisphere surf = setup_source_space(subject, subjects_dir=subjects_dir, add_dist=False) lh_surf = surf[0] # setup a volume source space of the left cerebellum cortex volume_label = "Left-Cerebellum-Cortex" sphere = (0, 0, 0, 0.12) lh_cereb = setup_volume_source_space( subject, mri=aseg_fname, sphere=sphere, volume_label=volume_label, subjects_dir=subjects_dir, sphere_units="m", ) # Combine the source spaces src = surf + lh_cereb # %% # Plot the positions of each source space fig = mne.viz.plot_alignment( subject=subject, subjects_dir=subjects_dir, surfaces="white", coord_frame="mri", src=src, ) mne.viz.set_3d_view( fig, azimuth=180, elevation=90, distance=0.30, focalpoint=(-0.03, -0.01, 0.03) ) # %% # You can export source positions to a NIfTI file:: # # >>> nii_fname = 'mne_sample_lh-cerebellum-cortex.nii' # >>> src.export_volume(nii_fname, mri_resolution=True) # # And display source positions in freeview:: # # >>> from mne.utils import run_subprocess # >>> mri_fname = subjects_dir / "sample" / "mri" / "brain.mgz" # >>> run_subprocess(["freeview", "-v", str(mri_fname), "-v", # f"{aseg_fname}:colormap=lut:opacity=0.5", # "-v", f"{nii_fname}:colormap=jet:colorscale=0,2", # "--slice", "157", "75", "105"])