If you have a question or issue with MNE-Python, please include the following info:
- MNE version: 1.9.0
- operating system: Ubuntu
I want to make a source reconstruction including the eyes and adjusted this tutorial to do so: Generate a left cerebellum volume source space — MNE 1.9.0 documentation
This works nicely, but after calculating the forward model some voxels of the eyes are lost because they are outside the scull: See n_used
Before (src): <SourceSpaces: [<surface (lh), n_vertices=163842, n_used=258>, <surface (rh), n_vertices=163842, n_used=258>, <volume (eyes), n_used=514>] MRI (surface RAS) coords, subject 'sub-3a53720640b7_from_template', ~190.6 MiB>
After (fwd["src"]): <SourceSpaces: [<surface (lh), n_vertices=163842, n_used=258>, <surface (rh), n_vertices=163842, n_used=258>, <volume (eyes), n_used=62>] head coords, subject 'sub-3a53720640b7_from_template', ~190.6 MiB>, ok doesnt work because eyes are not in the scull?
I tried to use mne.make_sphere_model() as bem, but this also doesn’t work because
bem2 = mne.make_sphere_model(r0=(0.0, 0.01, 0.04), head_radius=0.09, verbose=None)
#%%
fwd = mne.make_forward_solution(
full_path,
trans=trans,
src=src,
bem=bem2,
meg=True,
eeg=False,
mindist=-10.0,
n_jobs=None,
verbose=True,
)
print(fwd)
RuntimeError: Found 15 MEG sensors inside the outermost sphere shell, perhaps coordinate frames and/or coregistration must be incorrect
Any ideas how to solve this?
Thanks in advance!