Multimodal magnetic resonance imaging-based clustering identifies two imaging-defined brain phenotypes in De novo Parkinson's disease.

doi:10.1016/j.nicl.2026.104021

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Article

Multimodal magnetic resonance imaging-based clustering identifies two imaging-defined brain phenotypes in De novo Parkinson's disease.

NeuroImage. Clinical - 1 Jan 2026

Arabi Esraa, Tian Yuan, Zhu Minwei, Gao Wenpeng, Fu Yili

Abstract excerpt

Parkinson's disease (PD) exhibits marked clinical and neurobiological heterogeneity, complicating its prognosis and therapeutic development. We aimed to identify imaging-defined PD subtypes by integrating diffusion and structural MRI features, using a data-driven clustering approach. Baseline neuroimaging data from 103 de novo PD participants and 40 normal controls (NC) were obtained from the Parkinson's...

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Topics

Humans
Parkinson Disease
Male
Female
Aged
Phenotype
Multimodal Imaging

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Middle Aged

Clustering Algorithms

Brain

Cluster Analysis

Magnetic Resonance Imaging

Diffusion Tensor Imaging

Neuroimaging

Source

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Identifiers

PMID: 42288109
DOI: 10.1016/j.nicl.2026.104021
PMCID: PMC13277644

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