Individualized brain radiomics-based network tracks distinct subtypes and abnormal patterns in prodromal Parkinson's disease
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...
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Elsevier
2025-02-01
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| Series: | NeuroImage |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811925000126 |
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| author | Lin Hua Canpeng Huang Xinglin Zeng Fei Gao Zhen Yuan |
| author_facet | Lin Hua Canpeng Huang Xinglin Zeng Fei Gao Zhen Yuan |
| author_sort | Lin Hua |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-4fe63a019e514192b38a7bce11cd9a95 |
| institution | Kabale University |
| issn | 1095-9572 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj-art-4fe63a019e514192b38a7bce11cd9a952025-01-23T05:26:23ZengElsevierNeuroImage1095-95722025-02-01306121012Individualized brain radiomics-based network tracks distinct subtypes and abnormal patterns in prodromal Parkinson's diseaseLin Hua0Canpeng Huang1Xinglin Zeng2Fei Gao3Zhen Yuan4Faculty of Health Sciences, University of Macau, Macau SAR 999078, PR China; Centre for Cognitive and Brain Sciences, University of Macau, Macau SAR 999078, PR ChinaFaculty of Health Sciences, University of Macau, Macau SAR 999078, PR China; Centre for Cognitive and Brain Sciences, University of Macau, Macau SAR 999078, PR ChinaFaculty of Health Sciences, University of Macau, Macau SAR 999078, PR China; Centre for Cognitive and Brain Sciences, University of Macau, Macau SAR 999078, PR China; Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, United StatesInstitute of Modern Languages and Linguistics, Fudan University, Shanghai 200433, PR ChinaFaculty of Health Sciences, University of Macau, Macau SAR 999078, PR China; Centre for Cognitive and Brain Sciences, University of Macau, Macau SAR 999078, PR China; Correspondence author at: Faculty of Health Sciences and Centre for Cognitive and Brain Sciences, E12 Building, University of Macau, Macau SAR 999078, PR China.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.http://www.sciencedirect.com/science/article/pii/S1053811925000126Prodromal parkinson's diseaseDisease subtypesClinical symptomsBrain radiomics-based networkGene expression |
| spellingShingle | Lin Hua Canpeng Huang Xinglin Zeng Fei Gao Zhen Yuan Individualized brain radiomics-based network tracks distinct subtypes and abnormal patterns in prodromal Parkinson's disease NeuroImage Prodromal parkinson's disease Disease subtypes Clinical symptoms Brain radiomics-based network Gene expression |
| title | Individualized brain radiomics-based network tracks distinct subtypes and abnormal patterns in prodromal Parkinson's disease |
| title_full | Individualized brain radiomics-based network tracks distinct subtypes and abnormal patterns in prodromal Parkinson's disease |
| title_fullStr | Individualized brain radiomics-based network tracks distinct subtypes and abnormal patterns in prodromal Parkinson's disease |
| title_full_unstemmed | Individualized brain radiomics-based network tracks distinct subtypes and abnormal patterns in prodromal Parkinson's disease |
| title_short | Individualized brain radiomics-based network tracks distinct subtypes and abnormal patterns in prodromal Parkinson's disease |
| title_sort | individualized brain radiomics based network tracks distinct subtypes and abnormal patterns in prodromal parkinson s disease |
| topic | Prodromal parkinson's disease Disease subtypes Clinical symptoms Brain radiomics-based network Gene expression |
| url | http://www.sciencedirect.com/science/article/pii/S1053811925000126 |
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