Unknown

Dataset Information

Advanced brain aging, selective vulnerability in gray matter, and cognition in Parkinson's disease.


ABSTRACT:

Background

To identify the most vulnerable brain regions in gray matter attributable to advanced brain aging and examine the cognitive correlates of advanced brain aging in Parkinson's disease (PD).

Methods

One hundred twenty-five early-stage PD patients with both structural, diffusion MRI and DAT-SPECT data available were included at baseline (year 0) from Parkinson's Progression Markers Initiative, with neuroimaging follow-up at year 1, 2, 4. Annual assessment of cognition was performed in 5 years. The relationships between brain-predicted age difference (PAD), free water (FW) in cortical and subcortical gray matter, and cognition were examined with linear regression and linear mixed-effects model. Cox proportional hazards model was used to investigate the relation between

SUBMITTER: Cai M 

PROVIDER: S-EPMC12398390 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature