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Abstract #3376

Brain network efficiency deficits in multiple sclerosis: A pilot network analysis using 7-Tesla diffusion MRI

Liang Zhan 1 , Adam Carpenter 2 , Yuval Duchin 3 , Noam Harel 3 , Guillermo Sapiro 4 , Paul M Thompson 1 , and Christophe Lenglet 3

1 USC Imaging Genetics Center, University of Southern California, Marina Del Rey, CA, United States, 2 Department of Neurology, University of Minnesota, Minneapolis, MN, United States, 3 Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 4 Department of Electrical and Computer Engineering, Duke University, Durham, NC, United States

We use high-field (7-Tesla) diffusion MRI, tractography and network analysis techniques to investigate global structural connectivity changes in patients with multiple sclerosis. Two network measures (the normalized mean clustering coefficient and normalized global efficiency) were identified as significantly different between patients and controls in this pilot study. This may provide novel information to better understand neurodegeneration in multiple sclerosis.

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