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Dataset Information

Identification of Parkinson's disease subtypes with distinct brain atrophy progression and its association with clinical progression.


ABSTRACT:

Background

Parkinson's disease (PD) patients suffer from progressive gray matter volume (GMV) loss, but whether distinct patterns of atrophy progression exist within PD are still unclear.

Objective

This study aims to identify PD subtypes with different rates of GMV loss and assess their association with clinical progression.

Methods

This study included 107 PD patients (mean age: 60.06 ± 9.98 years, 70.09% male) with baseline and ≥ 3-year follow-up structural MRI scans. A linear mixed-effects model was employed to assess the rates of regional GMV loss. Hierarchical cluster analysis was conducted to explore potential subtypes based on individual rates of GMV loss. Clinical score changes were then compared across these subtypes.

Results

Two PD subtypes were identi

SUBMITTER: Pan G 

PROVIDER: S-EPMC10953620 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature