Cortical thickness and white matter microstructure predict freezing of gait development in Parkinson's disease.

ABSTRACT: The clinical applications of the association of cortical thickness and white matter fiber with freezing of gait (FoG) are limited in patients with Parkinson's disease (PD). In this retrospective study, using white matter fiber from diffusion-weighted imaging and cortical thickness from structural-weighted imaging of magnetic resonance imaging, we investigated whether a machine learning-based model can help assess the risk of FoG at the individual level in patients with PD. Data from the Parkinson's Disease Progression Marker Initiative database were used as the discovery cohort, whereas those from the Fujian Medical University Union Hospital Parkinson's Disease database were used as the external validation cohort. Clinical variables, white matter fiber, and cortical thickness were selected

SUBMITTER: Lin F 

PROVIDER: S-EPMC10776850 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature