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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 Wang1,3, 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.