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DOC: Fixes in tutorial #7579

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larsoner merged 2 commits into from
Apr 8, 2020
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DOC: Fixes in tutorial #7579

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f24d559
DOC: Fixes in tutorial
hoechenberger Apr 8, 2020
38217b4
DOC: Use different approach to scaling
hoechenberger Apr 8, 2020
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8 changes: 4 additions & 4 deletions tutorials/source-modeling/plot_eeg_mri_coords.py
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Original file line number Diff line number Diff line change
Expand Up @@ -65,7 +65,7 @@
# which does a maximum intensity projection (easy to see the fake electrodes).
# This plotting function requires data to be in MNI space.
# Because ``img.affine`` gives the voxel-to-world (RAS) mapping, if we apply a
# RAS-to-MRI transform to it, it becomes the voxel-to-MNI transformation we
# RAS-to-MNI transform to it, it becomes the voxel-to-MNI transformation we
# need. Thus we create a "new" MRI image in MNI coordinates and plot it as:

img = nibabel.load(fname_T1_electrodes) # original subject MRI w/EEG
Expand Down Expand Up @@ -94,9 +94,9 @@
#
# >>> pos_vox = ... # loaded from a file somehow
# >>> img = nibabel.load(fname_T1)
# >>> vox2mri = img.header.get_vox2ras_tkr() # voxel -> mri
# >>> vox2mri[:3] /= 1000. # mm -> m
# >>> pos_mri = mne.transforms.apply_trans(vox2mri, pos_vox)
# >>> vox2mri_t = img.header.get_vox2ras_tkr() # voxel -> mri trans
# >>> pos_mri = mne.transforms.apply_trans(vox2mri_t, pos_vox)
# >>> pos_mri /= 1000. # mm -> m
#
# You can also verify that these are correct (or manually convert voxels
# to MRI coords) by looking at the points in Freeview or tkmedit.
Expand Down