Dear All,
A rookie question:
Are the spatial coordinates of multiple sparse priors (n= no of source
priors/hemisphere) fixed or resulting from best model selection
(variable coordinates, constant n)?
If the latter is true, does the latter minimize the inverse crime
regarding the source space selection when using synthetic data for
inverse solution simulations, or one still has to select different
discretizations (different n) of the source space?
Thank you,
Octavian
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