ArticleScientific reports2021
Identifying Parkinson's disease subtypes with motor and non-motor symptoms via model-based multi-partition clustering.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 26 citations in OpenAlex.
- Identifing two distinct cortical progression subtypes of Parkinson's disease through multimodal neuroimaging.European journal of nuclear medicine and molecular imaging · 2026Article
- Correlation of thalamic functional organization disturbances and genetic architecture in motor subtypes of Parkinson's disease.NPJ Parkinson's disease · 2026Article
- Parkinson's disease beyond motor symptoms: a review of the validity and limitations of current classification of non-motor symptoms.Frontiers in psychiatry · 2026Review
- Data-driven subtyping of Parkinson's disease using MRI: current insights, challenges, and future directions.Frontiers in aging neuroscience · 2026Review
- Identification of genes associated with smell dysfunction in Parkinson's disease.Clinical parkinsonism & related disorders · 2026Article
- Pain in Parkinson's disease is impacted by motor complications, anxiety and sleep disturbances.European journal of pain (London, England) · 2025Observational
- Exploring Motor-Cognitive Interference Effects and the Influence of Self-Reported Physical Activity on Dual-Task Walking in Parkinson's Disease and Healthy Older Adults.Brain sciences · 2025Article
- 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
- Disease progression in proposed brain-first and body-first Parkinson's disease subtypes.NPJ Parkinson's disease · 2024Article
- Integrating Big Data, Artificial Intelligence, and motion analysis for emerging precision medicine applications in Parkinson's Disease.Journal of big data · 2024Article
- Future Directions for Developing Non-dopaminergic Strategies for the Treatment of Parkinson's Disease.Current neuropharmacology · 2024Review
- Non-motor symptoms associated with progressive loss of dopaminergic neurons in a mouse model of Parkinson's disease.Frontiers in neuroscience · 2024Article
- Novel perspective of therapeutic modules to overcome motor and nonmotor symptoms in Parkinson's disease.AIMS neuroscience · 2024Review
- Two distinct trajectories of clinical and neurodegeneration events in Parkinson's disease.NPJ Parkinson's disease · 2023Article
- The noradrenergic subtype of Parkinson disease: from animal models to clinical practice.Nature reviews. Neurology · 2023Review
- A scoping review of neurodegenerative manifestations in explainable digital phenotyping.NPJ Parkinson's disease · 2023Article
- Defining the unknowns for cell therapies in Parkinson's disease.Disease models & mechanisms · 2022Article
- Functional Brain Dysconnectivity in Parkinson's Disease: A 5-Year Longitudinal Study.Movement disorders : official journal of the Movement Disorder Society · 2022Article
- Epidemiology of autonomic dysfunction in Parkinson's disease (Review).Medicine internationalReview
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Authors and funding
9 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Identification of Parkinson's disease subtypes may help understand underlying disease mechanisms and provide personalized management. Although clustering methods have been previously used for subtyping, they have reported generic subtypes of limited relevance in real life practice because patients do not always fit into a single category. The aim of this study was to identify new subtypes assuming that patients could be grouped differently according to certain sets of related symptoms. To this purpose, a novel model-based multi-partition clustering method was applied on data from an international, multi-center, cross-sectional study of 402 Parkinson's disease patients. Both motor and non-motor symptoms were considered. As a result, eight sets of related symptoms were identified. Each of them provided a different way to group patients: impulse control issues, overall non-motor symptoms, presence of dyskinesias and pyschosis, fatigue, axial symptoms and motor fluctuations, autonomic dysfunction, depression, and excessive sweating. Each of these groups could be seen as a subtype of the disease. Significant differences between subtypes (P< 0.01) were found in sex, age, age of onset, disease duration, Hoehn & Yahr stage, and treatment. Independent confirmation of these results could have implications for the clinical management of Parkinson's disease patients.
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