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ABSTRACT: Background
Clinical variability in the Parkinson's disease phenotype suggests the existence of disease subtypes. We investigated whether distinct anatomical patterns of atrophy can be identified in Parkinson's disease using a hypothesis-free, data-driven approach based on cortical thickness data.Methods
T1-weighted 3-tesla MRI and a comprehensive neuropsychological assessment were performed in a sample of 88 nondemented Parkinson's disease patients and 31 healthy controls. We performed a hierarchical cluster analysis of imaging data using Ward's linkage method. A general linear model with cortical thickness data was used to compare clustering groups.Results
We observed 3 patterns of cortical thinning in patients when compared with healthy controls. Pattern 1 (n = 30
SUBMITTER: Uribe C
PROVIDER: S-EPMC5061099 | biostudies-literature | 2016 May
REPOSITORIES: biostudies-literature