Seeking advices in source space decoding

💬 Support & Discussions
, ,
1
  • MNE version: 1.7.1
  • operating system: macOS-15.3

Hi,

I am performing decoding analyses in source space data using LCMV beamformer and need insights. I have 2 questions:

  1. I have T1 mri data for 11 subjects and performed the classic source reconstruction pipeline for them, and run cross_val_multiscore() for all of them. Then to perform statistical analysis, I use mne.stats.permutation_cluster_1samp_test(). My question is should I morph the source space of my subjects to the source space of fsaverage, to be more accurate in my statistical analysis?

  2. I have 2 extra subjects for which i don’t have T1 data but that I want to use in my analyses. One option would be to warp them to fsaverage, but would that be a problem next if I plan to morph all source spaces to fsaverage (like in question 1)?

Thank you very much for your help.

Coumarane