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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