Smooth Principal Component Analysis over two-dimensional manifolds with an application to Neuroimaging
SteamAdm
Motivated by the analysis of high-dimensional neuroimaging signals located over the cortical surface, we introduce a novel Principal Component Analysis technique that can handle functional