Unsupervised subtyping of motor dysfunction of Parkinson's disease and its structural brain imaging correlates

Bibliographic Details
Title: Unsupervised subtyping of motor dysfunction of Parkinson's disease and its structural brain imaging correlates
Authors: Yu-Fan Lin, Jong-Ling Fuh, Albert C. Yang
Source: NeuroImage: Reports, Vol 5, Iss 1, Pp 100246- (2025)
Publisher Information: Elsevier, 2025.
Publication Year: 2025
Collection: LCC:Neurosciences. Biological psychiatry. Neuropsychiatry
Subject Terms: Parkinson's disease, Motor dysfunction subtypes, Structural brain imaging, Machine learning, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
More Details: Background: Parkinson's disease (PD) is a clinical neurodegenerative disorder. The Unified Parkinson's Disease Rating Scale (UPDRS) has been used as a standard measure of the PD symptom profile, and magnetic resonance (MR) imaging is widely used for identifying the critical brain regions involved in PD progression. Objectives: The present study aimed to (1) identify PD subtypes based on the motor dysfunction profile in the MDS-UPDRS and (2) find the differences in gray matter volumes of brain regions, and (3) compare non-motor features between the subtypes to explore their distinct clinical profiles. Methods: In total, 299 patients with PD and 173 healthy participants from the Parkinson's Progression Markers Initiative were included. A software package, Generalized Association Plots, was used to cluster the motor dysfunction profile in the MDS-UPDRS. Regression models and the Artificial Intelligence Platform as a Service were used to quantify the differences in gray matter volume of brain regions between subtypes. Results: We identified three PD subtypes—resting tremor, intermediate, and akinetic-rigid—using motor symptom clustering. MRI analysis revealed significant differences in brain regions, including the posterior cingulate gyrus, lenticular nucleus, olfactory cortex, and cerebellum. Non-motor features, such as cognitive decline and autonomic dysfunctions, varied across subtypes, highlighting distinct systemic profiles. Akinetic-rigid patients exhibited the most severe impairments, while tremor-dominant patients showed milder non-motor symptoms. Discussion: Three PD subtypes of motor dysfunction were identified. Structural brain imaging revealed subtype-specific differences not only in cingulum and putamen regions, but also in the olfactory cortex, parahippocampal gyrus, and cerebellum, correlating with motor symptoms. Non-motor features varied by subtype, with increasing severity from tremor-dominant to akinetic-rigid.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2666-9560
Relation: http://www.sciencedirect.com/science/article/pii/S2666956025000145; https://doaj.org/toc/2666-9560
DOI: 10.1016/j.ynirp.2025.100246
Access URL: https://doaj.org/article/c8b661f8cb504cf99cf98ef196211002
Accession Number: edsdoj.8b661f8cb504cf99cf98ef196211002
Database: Directory of Open Access Journals
More Details
ISSN:26669560
DOI:10.1016/j.ynirp.2025.100246
Published in:NeuroImage: Reports
Language:English