Surface-based morphological patterns associated with neuropsychological performance, symptom severity, and treatment response in Parkinson's disease.

ABSTRACT:

Background

Surface-based cortical morphological patterns provide insight into the neural mechanisms of Parkinson's disease (PD). Explorations of the relationship between these patterns and the clinical assessment and treatment effects could be used to inform early intervention and treatment planning.

Methods

We recruited 78 PD patients who underwent presurgical evaluation and 55 healthy controls. We assessed neocortical sulcal depth, gyrification index, and fractal dimension and applied a general linear model using the multivariate Hotelling's t-test to determine the joint effect of surface-based shape abnormalities in PD. The relationship between the neuroimaging pattern and clinical assessment was investigated using a multivariate linear regression model. A machine

SUBMITTER: Mo J 

PROVIDER: S-EPMC9358503 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature