Mining Fmri Dynamics with Parcellation Prior for Brain Disease Diagnosis
Mining Fmri Dynamics with Parcellation Prior for Brain Disease Diagnosis
To characterize atypical brain dynamics under diseases, prevalent studies investigate functional magnetic resonance imaging (fMRI). However, most of the existing analyses compress rich spatial-temporal information as the brain functional networks (BFNs) and directly investigate the whole-brain network without neurological priors about functional subnetworks. We thus propose a novel graph learning …