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Abstract #4053

Combined Anatomic and Functional Connectivity Metric for Tracking Disease Progression in MS

Mark J Lowe1, Katherine Koenig1, Erik Beall1, Jian Lin1, Ken Sakaie1, Lael Stone2, and Micheal D. Phillips1

1Imaging Institute, Cleveland Clinic, Cleveland, OH, United States, 2Neurologic Institute, Cleveland Clinic, Cleveland, OH, United States

Based on the observation that anatomic and functional connectivity measures in multiple sclerosis (MS) are correlated, but not highly correlated, we propose to combine these metrics into an imaging based measure of disease progression. We show that this metric is sensitive to disease progression in a cohort of MS patients over a time period of one year.

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