MNE version: 0.21.1
OS: Windows 10
Hi all, hope you all have a nice day.
I am a bit confused about the result of mne.setup_source_space.
This is the line of code I used to tes the spacing option for setting up a source space:
src = mne.setup_source_space('fsaverage', spacing = 15, subjects_dir=subjects_dir, add_dist = True, n_jobs=-1)
This is the result:
<SourceSpaces: [<surface (lh), n_vertices=163842, n_used=10242>, <surface (rh), n_vertices=163842, n_used=10242>] MRI (surface RAS) coords, subject 'fsaverage', ~33.8 MB>
First off, I may be confused by the number of active vertices in the source space. A spacing of 15 mm seems rather large for a brain roughly the length of 150 mm, so I would expect the number of generators to be in the order of 100, instead of 10,000. Maybe I am misinterpreting the variable. I assumed this would result in a cubic grid with a fixed spacing between each generator and its closes neighbours (I am trying to replicate the formulation of Laplacian operator to test LORETA and compare it to sLORETA).
Second, the distances in the grid seem to be ranging between 0-0.25 (mm?). How does the spacing of 15 mm translate to these values? The documentation on mne.setup_source_space doesn’t define whether the distances are calculated in mm or not.
Thanks!