ArticleNPJ Parkinson's disease2021
Comprehensive subtyping of Parkinson's disease patients with similarity fusion: a case study with BioFIND data.
Article in NPJ Parkinson's disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Disruption of the white matter structural network and its association with clinical subtypes and disease progression in parkinson's disease.Brain imaging and behavior · 2026Article
- Association of chronic disease risk and physical activity measured by wearable devices in the All of Us program.Communications medicine · 2026Article
- Data-driven subtyping of early Parkinson's disease via mutual cross-attention fusion of EEG and dual-task gait features.NPJ Parkinson's disease · 2026Article
- Decision tree-based approach to robust Parkinson's disease subtyping using clinical data of the Michael J. Fox Foundation LRRK2 cross-sectional study.Frontiers in artificial intelligence · 2025Article
- Data-Driven Discovery of Movement-Linked Heterogeneity in Neurodegenerative Diseases.Nature machine intelligence · 2024Article
- Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data.NPJ digital medicine · 2024Article
- Brain network centrality and connectivity are associated with clinical subtypes and disease progression in Parkinson's disease.Brain imaging and behavior · 2024Article
- Deep phenotyping for precision medicine in Parkinson's disease.Disease models & mechanisms · 2022Article
- Subtyping of early-onset Parkinson's disease using cluster analysis: A large cohort study.Frontiers in aging neuroscience · 2022Article
- MNCD: A New Tool for Classifying Parkinson's Disease in Daily Clinical Practice.Diagnostics (Basel, Switzerland) · 2021Article
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Authors and funding
5 authors.
Funding
Abstract
Parkinson's disease (PD) is a complex neurodegenerative disorder with diverse clinical manifestations. To better understand this disease, research has been done to categorize, or subtype, patients, using an array of criteria derived from clinical assessments and biospecimen analyses. In this study, using data from the BioFIND cohort, we aimed at identifying subtypes of moderate-to-advanced PD via comprehensively considering motor and non-motor manifestations. A total of 103 patients were included for analysis. Through the use of a patient-wise similarity matrix fusion technique and hierarchical agglomerative clustering analysis, three unique subtypes emerged from the clustering results. Subtype I, comprised of 60 patients (~58.3%), was characterized by mild symptoms, both motor and non-motor. Subtype II, comprised of 20 (~19.4%) patients, was characterized by an intermediate severity, with a high tremor score and mild non-motor symptoms. Subtype III, comprised of 23 (~22.3%) patients, was characterized by more severe motor and non-motor symptoms. These subtypes show statistically significant differences when looking at motor (on and off medication) clinical features and non-motor clinical features, while there was no clear difference in demographics, biomarker levels, and genetic risk scores.
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Registered trials
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