[FieldTrip] Source reconstruction on BEM mesh of EEG data
Arnaud Delorme
arno at ucsd.edu
Wed May 15 23:24:23 CEST 2019
Dear all,
I am trying to perform source reconstruction on a BEM mesh of EEG data
The page below describes how to localize source on a BEM mesh for MEG data using minimal norm estimate on the BEM mesh itself. This is what I would like to do but for EEG data.
http://www.fieldtriptoolbox.org/tutorial/minimumnormestimate/
This page describes how to compute a leadfield matrix for EEG
http://www.fieldtriptoolbox.org/workshop/baci2017/forwardproblem/
However, the leadfield matrix created for EEG is for a 3-D grid, that can then be projected on a 3-D MRI volume - so not the projection on BEM mesh I would like. I have not been able so far to generate a leadfield matrix for a BEM surface. Now the tutorial page below in theory describes how to create one for MEG from a BEM mesh (section "Realistic single-shell model, using brain surface from segmented mri").
http://www.fieldtriptoolbox.org/example/make_leadfields_using_different_headmodels/
However, again I obtained a 3-D source model on a grid. I figured that the sourcemodel needs to look like this (the content below is for tutorial MEG file named Subject01_sourcemodel_15684.mat). However, I do not know how this file was generated and how it could be transposed for EEG (which needs 3 layers instead of 1 etc…).
sourcemodel =
struct with fields:
pos: [15684×3 double]
tri: [31360×3 double]
sulc: [15684×1 double]
curv: [15684×1 double]
thickness: [15684×1 double]
brainstructure: [15684×1 double]
brainstructurelabel: {2×1 cell}
inside: [15684×1 logical]
Any hint would be appreciated.
Cheers,
Arno
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