Dear experts,
I have a question about surface-based registration from native space to fsLR32k in the HCP pipeline.
My electrode locations were originally defined on each subject’s native pial surface
(subXX.L.pial.native.surf.gii, using native vertex indices).
I mapped them to fsaverage_LR32k using the standard MSM-based pipeline and can also obtain MNI152-aligned xyz coordinates with the help of ChatGPT.
While the transformation is technically correct, the relative geometry of the electrode arrays looks distorted compared to the native configuration (e.g., straight arrays become curved, spacing changes, some overlap).
I was wondering:
Is this expected behavior of MSM-based surface registration?
Are there recommended approaches to better preserve electrode array geometry?
For cortical electrodes, is fsLR/Conte69 surface space usually preferred over MNI volume space?
Thanks in advance for any advice.
Best,
Sumito
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