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Abstract #3298

Combined Structural and Functional Connectivity Analysis in Multiple Sclerosis

Edmund W. Wong1, Roxana Teodorescu2, Lazar Fleysher2, Cheuk Ying Tang1, Matilde Inglese2, David Matthew Carpenter1

1Radiology, Mount Sinai School of Medicine, New York, United States; 2Neurology, Mount Sinai School of Medicine, New York, United States

We combined diffusion tensor imaging and resting state fMRI to assess the relationship between white matter integrity and functional coactivation during resting state in patients with relapsing-remitting MS (RR-MS) and healthy controls. The analysis was performed using independent component analysis to identify the default mode network, followed by dual-regression analyses used to find voxels where coactivation of the default mode network was correlated with global and, in a separate analysis, cingulum bundle FA. An inverse relationship was observed in both global and cingulum bundle FA with coactivations within the default mode network.