Abstract #1480

Multivariate Structural and Diffusion MRI Measures Correspond to Mild Cognitive Impairment in Parkinson’s disease

Virendra R Mishra¹, Jessica Caldwell¹, Karthik R Sreenivasan¹, Xiaowei Zhuang¹, Zhengshi Yang¹, Dietmar Cordes^1,2, Jeffrey Cummings^1,3, Zoltan Mari¹, Aaron Ritter¹, and Irene Litvan⁴

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

Mild Cognitive Impairment (MCI) affects approximately 30% of individuals with Parkinson’s disease (PD). However, no reliable imaging methodology currently exists to identify PD-MCI within PD. We hypothesized that multivariate analysis of sophisticated diffusion-MRI (dMRI) voxelwise measures, volumetric measures, and dMRI-derived graph-theoretical network measures will provide a set of imaging measures that are both sensitive and specific to PD-MCI. Our preliminary analysis with 22 PD-MCI and 15 PD-non-MCI participants suggest that beyond single tensor dMRI voxelwise measures, network measures, and structural MRI-derived measurements might provide both sensitive and specific measures for further multivariate analysis to identify imaging markers corresponding to PD-MCI.

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