Brain morphological changes in hypokinetic dysarthria of Parkinson's disease and use of machine learning to predict severity.

ABSTRACT:

Background

Up to 90% of patients with Parkinson's disease (PD) eventually develop the speech and voice disorder referred to as hypokinetic dysarthria (HD). However, the brain morphological changes associated with HD have not been investigated. Moreover, no reliable model for predicting the severity of HD based on neuroimaging has yet been developed.

Methods

A total of 134 PD patients were included in this study and divided into a training set and a test set. All participants underwent a structural magnetic resonance imaging (MRI) scan and neuropsychological evaluation. Individual cortical thickness, subcortical structure, and white matter volume were extracted, and their association with HD severity was analyzed. After feature selection, a machine-learning model was establis

SUBMITTER: Chen Y 

PROVIDER: S-EPMC7298984 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature