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 Cordes^1,2, Jeffrey Cummings^1,3, 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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