Meeting Banner
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 Cordes1,2, Jeffrey Cummings1,3, 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.

This abstract and the presentation materials are available to 2020 meeting attendees and eLibrary customers only; a login is required.

Join Here