Functional random effects modeling of brain shape and connectivity

We present a statistical framework that jointly models brain shape and functional connectivity which are two complex aspects of the have been classically studied independently. adopt Riemannian modeling approach to account for non-Euclidean geometry space shapes constrains trajectories covariation be valid estimates. In order disentangle genetic sources variability from those driven by unique environmental factors, we embed random effects model in framework. apply proposed Human Connectome Project dataset explore spontaneous co-variation between young healthy individuals.