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

Synopsis

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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