Abstract #4134

Framework for Studying Changes in the Functional Connectivity Network After Stroke using Resting State fMRI

Siamak Pourabdollah Nejad-Davarani¹, Michael Chopp¹, Hassan Bagher-Ebadian¹, Scott Peltier², Douglas C. Noll², M. Peter Kostiuk¹, Shiyang Wang^1,3, Panayiotis Mitsias¹, Quan Jiang¹

¹Neurology, Henry Ford Health System, Detroit, MI, United States; ²Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States; ³Physics, Oakland University, Rochester, MI, United States

Resting State connectivity using functional Magnetic Resonance Imaging (fMRI) has recently been used for evaluating post stroke neuro-restoration and functional reorganization. In this study, we have defined a connectivity network in the brain in which every brain region is considered as a node and correlation is calculated between every two nodes in this network. The correlation between the temporal signals at every node in this network is calculated for normal subjects and is used as a reference for evaluation of the functional reorganization of the brain in stroke patients.