Task integration for connectome-based prediction via canonical correlation analysis

Generating models from functional connectivity data that predict behavioral measures holds great clinical potential. While the majority of the literature has focused on using only connectivity data from a single source, there is ample evidence that different cognitive conditions amplify individual differences in functional connectivity in a distinct, complementary manner. In this work, we introduce a computational model, labeled multidimensional...