source_space_subsampling.py

import numpy as np
from mayavi import mlab
from surfer import Brain
import mne
from mne.datasets import sample

data_path = sample.data_path()
subjects_dir = data_path + '/subjects'

brain = Brain('sample', 'rh', 'inflated', subjects_dir=subjects_dir)
surf = brain._geo

vertices = mne.source_estimate.grade_to_vertices('sample', 5,
    subjects_dir=subjects_dir)

vertidx = vertices[1]

mlab.points3d(surf.x[vertidx], surf.y[vertidx],
              surf.z[vertidx], color=(1, 1, 0), scale_factor=1.5)