Source-Decomposed Multimodal Graph Connectivity: A Temporal Mixture-Manifold Pipeline for Tracking Ischemic Injury and Treatment
Hyoshin Park, Jae Lee, Aditya Nimmagadda, Brian Llinás, Mandana Farhang Ghahfarokhi, Alberto Musto, Seungjun Ryu
This paper introduces a multimodal graph connectivity framework to track ischemic injury and treatment in non-human primates using resting state fMRI and DTI, revealing significant connectivity disruptions and enabling early detection of metabolic collapse.
bioRxiv · Oct 17, 2026 · PreprintNeuroscience