Disrupted morphological grey matter networks in early-stage Parkinson's disease.

ABSTRACT: While previous structural-covariance studies have an advanced understanding of brain alterations in Parkinson's disease (PD), brain-behavior relationships have not been examined at the individual level. This study investigated the topological organization of grey matter (GM) networks, their relation to disease severity, and their potential imaging diagnostic value in PD. Fifty-four early-stage PD patients and 54 healthy controls (HC) underwent structural T1-weighted magnetic resonance imaging. GM networks were constructed by estimating interregional similarity in the distributions of regional GM volume using the Kullback-Leibler divergence measure. Results were analyzed using graph theory and network-based statistics (NBS), and the relationship to disease severity was assessed. Exploratory

SUBMITTER: Suo X 

PROVIDER: S-EPMC8096749 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature