1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
|
"""
=======================================================
Reading an inverse operator and view source space in 3D
=======================================================
"""
# Author: Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
#
# License: BSD (3-clause)
print(__doc__)
from mne.datasets import sample
from mne.minimum_norm import read_inverse_operator
data_path = sample.data_path()
fname = data_path
fname += '/MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif'
inv = read_inverse_operator(fname)
print("Method: %s" % inv['methods'])
print("fMRI prior: %s" % inv['fmri_prior'])
print("Number of sources: %s" % inv['nsource'])
print("Number of channels: %s" % inv['nchan'])
###############################################################################
# Show result on 3D source space
lh_points = inv['src'][0]['rr']
lh_faces = inv['src'][0]['use_tris']
rh_points = inv['src'][1]['rr']
rh_faces = inv['src'][1]['use_tris']
try:
from enthought.mayavi import mlab
except:
from mayavi import mlab
mlab.figure(size=(600, 600), bgcolor=(0, 0, 0))
mlab.triangular_mesh(lh_points[:, 0], lh_points[:, 1], lh_points[:, 2],
lh_faces)
mlab.triangular_mesh(rh_points[:, 0], rh_points[:, 1], rh_points[:, 2],
rh_faces)
|
