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Abstract #1515

Beyond Single Tensor Diffusion Metrics to Quantify White Matter Disorganization in Parkinson’s disease With Freezing of Gait

Virendra R Mishra1, Jason Longhurst1, Jessica Caldwell1, Aaron Ritter1, Karthik R Sreenivasan1, Xiaowei Zhuang1, Zhengshi Yang1, Zoltan Mari1, Dietmar Cordes1,2, Jeffrey Cummings1,3, Irene Litvan4, and Brent Bluett5
1Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States, 2University of Colorado, Boulder, Boulder, CO, United States, 3Department of Brain Health, University of Nevada, Las Vegas, Las Vegas, NV, United States, 4University of California, San Diego, San Diego, CA, United States, 5Stanford University, Stanford, CA, United States

Freezing-of-gait (FoG) which is one of the main causes of falls in Parkinson’s disease (PD), results in significant morbidity and mortality. Currently, there are no robust methods of elucidating the neural mechanisms underlying this disabling aspect of PD. Utilizing a well-characterized cohort of PD-patients with-FoG (PD-FoG), PD-patients without-FoG (PD-nFoG), and healthy controls, we showed that diffusion kurtosis imaging and free-water corrected single-tensor diffusion MRI (dMRI)-derived measures identified significant differences in dMRI-derived measures between PD-FoG and PD-nFoG. Our study indicate that these beyond single-tensor dMRI models may identify robust and generalizable dMRI-derived measures to elucidate the neural mechanisms underlying PD-FoG.

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