- MNE version: 1.9.0
- operating system: Windows 11
I have a similar issue to the one posted in Creating a morph object for subjects with different number of vertices
I have MEG data from 14 participants that I want to analyse. I already have the stcs of each subject and I want to create one morph object for all the subjects to move from individual-level to group-level analysis. I have different number of vertices across subjects and I need to use the following code:
morph = mne.compute_source_morph(stc,
subject_from="S01",
subject_to="fsaverage",
subjects_dir=subject_dir)
stc_fsaverage = morph.apply(stc)
The problem is that I do not know how to integrate the stc information for every subject to create an average stc. Do I need to compute a morphing source for every subject?
I also suspect that I may have a problem with the fsaverage that has been created, I don’t know whether I am missing some files.
Within the folder “fsaverage” → “morph-maps”, I only have 2 files:
Thank you in advance for your help.