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Abstract #3150

Combining Structural and Functional Connectivity as Biomarkers for Disease Progression in Neurologic Disease: A Longitudinal Multiple Sclerosis Study

Mark J Lowe1, Katherine Koenig1, Jian Lin1, Bhaskar Thoomukuntla2, Ken A Sakaie1, Daniel Ontaneda3, Lael Stone3, Kunio Nakamura2, Stephen Rao3, and Stephen Jones1

1Imaging Institute, Cleveland Clinic, Cleveland, OH, United States, 2Biomedical Engineering, Cleveland Clinic, Cleveland, OH, United States, 3Neurologic Institute, Cleveland Clinic, Cleveland, OH, United States

Sensitive outcome measures are required to test novel therapies designed to target neurodegeneration in Multiple Sclerosis(MS). We have previously shown that functional connectivity using resting-state fMRI (rs-fMRI) and anatomic connectivity using DTI are related in the transcallosal motor pathway and along the memory pathway connecting hippocampus to posterior cingulate. We propose a combined metric incorporating anatomic and functional connectivity along these pathways as a potential biomarker of disease progression in MS. In this study, we present results from a 2 year study that assessed this biomarker in 19 MS patients at six timepoints. We show that our metric is sensitive to changes in MS disease over this time interval. We also show that our metric is more sensitive to change than typically used imaging biomarkers.

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