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Abstract #3803

Subtyping Parkinson’s disease by linking non-motor characteristics and brain functional connectome

Yao Zeng1, Chenfei Ye2, Junyan Sun3, Ting Ma1, and Tao Wu3
1Department of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen, China, 2Peng Cheng Laboratory, Shenzhen, China, 3National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, China


Since the heterogeneity of non-motor disorders in Parkinson's patients, subtyping research will facilitate the development of clinical diagnosis and treatment. We applied the sparse canonical correlation analysis method on clinical scales and resting-state brain fMRI data, to extract the typical variables for subtyping. In this data-driven study, we found that four PD subtypes with varying cognitive and psychological phenotypes demonstrate unique patterns of brain functional connectivity, which may underly the mechanism of PD heterogeneous non-motor symptoms.

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