EEG source localization - BEM model with more than 3 surfaces

💬 Support & Discussions
1
  • MNE version: e.g. 1.4.2
  • operating system: e.g. macOS 13

I’m doing source localization with EEG data. To setup my pipeline I’m following this MNE guidelines: The typical M/EEG workflow — MNE 1.5.0 documentation

I was wandering if it was possible to use a BEM model with more than 3 layers. As I understand the function make_bem_model (mne.make_bem_model — MNE 1.5.0 documentation) uses 3 layers:

  • inner skull surface
  • outer skull surface
  • scalp surface

Do anyone know how to add more surfaces or if there is a way to use the MNE source localization solvers with BEM models that have more than 3 layers?
if that’s not the case anyone knows if there are existing python implementation that allows you to work with more that 3 surfaces?

Thank you in advance for the help and support.