Individualized brain radiomics-based network tracks distinct subtypes and abnormal patterns in prodromal Parkinson's disease

doi:10.1016/j.neuroimage.2025.121012

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	Individualized brain radiomics-based network tracks distinct subtypes and abnormal patterns in prodromal Parkinson's disease
	Hua, Lin 1,2; Huang, Canpeng 1,2; Zeng, Xinglin 1,2,3; Gao, Fei 4; Yuan, Zhen1,2
	2025-02-01
Source Publication	NeuroImage
ISSN	1053-8119
Volume	306
Abstract	Individuals in the prodromal phase of Parkinson's disease (PD) exhibit significant heterogeneity and can be divided into distinct subtypes based on clinical symptoms, pathological mechanisms, and brain network patterns. However, little has been done regarding the valid subtyping of prodromal PD, which hinders the early diagnosis of PD. Therefore, we aimed to identify the subtypes of prodromal PD using the brain radiomics-based network and examine the unique patterns linked to the clinical presentations of each subtype. Individualized brain radiomics-based network was constructed for normal controls (NC; N = 110), prodromal PD patients (N = 262), and PD patients (N = 108). A data-driven clustering approach using the radiomics-based network was carried out to cluster prodromal PD patients into higher-/lower-risk subtypes. Then, the dissociated patterns of clinical manifestations, anatomical structure alterations, and gene expression between these two subtypes were evaluated. Clustering findings indicated that one prodromal PD subtype closely resembled the pattern of NCs (N-P; N = 159), while the other was similar to the pattern of PD (P-P; N = 103). Significant differences were observed between the subtypes in terms of multiple clinical measurements, neuroimaging for morphological changes, and gene enrichment for synaptic transmission. Identification of prodromal PD subtypes based on brain connectomes and a full understanding of heterogeneity at this phase could inform early and accurate PD diagnosis and effective neuroprotective interventions.
Keyword	Brain radiomics-based network Clinical symptoms Disease subtypes Gene expression Prodromal parkinson's disease
DOI	10.1016/j.neuroimage.2025.121012
URL	View the original
Language	英語English
Scopus ID	2-s2.0-85214557782
Fulltext Access	View Full-Text via DOI View Full-Text via Scopus
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Document Type	Journal article
Collection	DEPARTMENT OF PUBLIC HEALTH AND MEDICINAL ADMINISTRATION
Affiliation	1.Faculty of Health Sciences, University of Macau, Macau SAR, 999078, China 2.Centre for Cognitive and Brain Sciences, University of Macau, Macau SAR, 999078, China 3.Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, 21201, United States 4.Institute of Modern Languages and Linguistics, Fudan University, Shanghai, 200433, China
First Author Affilication	Faculty of Health Sciences; University of Macau
Recommended Citation GB/T 7714	Hua, Lin,Huang, Canpeng,Zeng, Xinglin,et al. Individualized brain radiomics-based network tracks distinct subtypes and abnormal patterns in prodromal Parkinson's disease[J]. NeuroImage, 2025, 306.
APA	Hua, Lin., Huang, Canpeng., Zeng, Xinglin., Gao, Fei., & Yuan, Zhen (2025). Individualized brain radiomics-based network tracks distinct subtypes and abnormal patterns in prodromal Parkinson's disease. NeuroImage, 306.
MLA	Hua, Lin,et al."Individualized brain radiomics-based network tracks distinct subtypes and abnormal patterns in prodromal Parkinson's disease".NeuroImage 306(2025).

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