MRI-based multivariate gray matter volumetric distance for predicting motor symptom progression in Parkinson's disease.

ABSTRACT: While Parkinson's disease (PD)-related neurodegeneration is associated with structural changes in the brain, conventional magnetic resonance imaging (MRI) has proven less effective for clinical diagnosis due to its inability to reliably identify subtle changes early in the disease course. In this study, we aimed to develop a structural MRI-based biomarker to predict the rate of progression of motor symptoms in the early stages of PD. The study included 88 patients with PD and 120 healthy controls from the Parkinson's Progression Markers Initiative database; MRI at baseline and motor symptom scores assessed using the MDS-UPDRS-III at two time points (baseline and 48 months) were selected. Group-level volumetric analyses revealed that the volumetric reductions in the left striatum were assoc

SUBMITTER: Vijayakumari AA 

PROVIDER: S-EPMC10582255 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature