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Abstract #2490

An Imaging Progression Marker for Parkinson’s Disease: A 4-Year Multicenter Longitudinal Study of Substantia Nigra Free-Water

Roxana Gabriela Burciu1, Edward Ofori1, Derek Archer1, Samuel Wu2, Ofer Pasternak3,4, Michael Okun5,6,7, and David Vaillancourt1,5,8

1Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States, 2Department of Biostatistics, University of Florida, Gainesville, FL, United States, 3Department of Psychiatry, Harvard Medical School, Boston, MA, United States, 4Department of Radiology, Harvard Medical School, Boston, MA, United States, 5Department of Neurology, University of Florida, Gainesville, FL, United States, 6Department of Neurosurgery, University of Florida, Gainesville, FL, United States, 7Center for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States, 8Department of Biomedical Engineering, University of Florida, Gainesville, FL, United States

We used a bi-tensor model to calculate free-water (FW) in the substantia nigra (SN) from diffusion MRI scans obtained from the Parkinson’s Progression Marker Initiative (PPMI) database with the goal of monitoring disease progression over 1 year and 4 years in Parkinson’s disease (PD). Results confirm previous single-site findings by showing an increase in FW in the posterior SN over 1 year in a large multi-site study, and extend the literature by showing that FW levels in this structure continue to increase over 4 years.

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