ArticleJournal of neurology2020
Identifying subtypes of mild cognitive impairment in Parkinson's disease using cluster analysis.
Article in Journal of neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review of data-driven cognitive subtypes in Parkinson disease.European journal of neurology · 2022Pooled it
- Cognitive structure and progression in Parkinson's disease: insights from a tablet-based assessment.Scientific reports · 2026Article
- The Amnesia Light and Brief Assessment (ALBA) and Door PICture Naming and Immediate Recall (PICNIR) Brief Tests for Identifying Mild Cognitive Impairment in Patients With Parkinson's Disease.Journal of movement disorders · 2026Article
- Predicting Cognition and Affective Changes in Newly Diagnosed Parkinson's Disease Through Longitudinal Data-Driven Clustering.Journal of geriatric psychiatry and neurology · 2026Article
- Normative modeling of MEG brain oscillations across the human lifespan.Communications biology · 2026Article
- Machine learning methods evaluation for identification of cognitive phenotypes in multiple sclerosis and their MRI correlates.Frontiers in neuroscience · 2026Article
- Cognitive profiles at presentation and subsequent cognitive decline and quality of life in Parkinson's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- A predictive model for longitudinal cognitive subtypes in Parkinson's disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Article
- Blood Uric Acid in Mild Cognitive Impairment: A Cross-Sectional Study of Older Chinese Adults.Neuropsychiatric disease and treatment · 2025Article
- Visual processing capacity and cognitive decline in Parkinson's disease.BMJ neurology open · 2025Article
- Anticholinergic Medication Burden and Cognitive Subtypes in Parkinson's Disease without Dementia.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2024Article
- Hippocampal resting-state connectivity is associated with posterior-cortical cognitive impairment in Parkinson's disease.Brain and behavior · 2024Article
- Levetiracetam for the treatment of mild cognitive impairment in Parkinson's disease: a double-blind controlled proof-of-concept trial protocol.Pilot and feasibility studies · 2023Article
- Longitudinal follow up of data-driven cognitive subtypes in Parkinson's disease.Brain and behavior · 2023Article
- Association between Cognitive Impairment and Freezing of Gait in Patients with Parkinson's Disease.Journal of clinical medicine · 2023Article
- Applying Retinal Vascular Structures Characteristics Coupling with Cortical Visual System in Alzheimer's Disease Spectrum Patients.Brain sciences · 2023Article
- Signatures of Neuropsychological Test Results in the Long Life Family Study: A Cluster Analysis.Journal of Alzheimer's disease : JAD · 2023Article
- Application of Machine Learning for Clinical Subphenotype Identification in Sepsis.Infectious diseases and therapy · 2022Article
- Anxiety disorders are associated with verbal memory impairment in patients with Parkinson's disease without dementia.Journal of neurology · 2022Article
- Mapping Actuarial Criteria for Parkinson's Disease-Mild Cognitive Impairment onto Data-Driven Cognitive Phenotypes.Brain sciences · 2021Article
Corrections and comments
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Authors and funding
8 authors.
Funding
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Abstract
introductionThe concept of Mild Cognitive Impairment (MCI) in Parkinson's disease (PD) has shown the potential for identifying at-risk dementia patients. Identifying subtypes of MCI is likely to assist therapeutic discoveries and better clinical management of patients with PD (PWP). Recent cluster-based approaches have demonstrated dominance in memory and executive impairment in PD. The present study will further explore the role of memory and executive impairment and associated clinical features in non-demented PWP.
methodA K-means cluster analysis was performed on ten "frontal" and "posterior" cognitive variables derived from a dataset of 85 non-demented PWP. The resulting cluster structure was chosen based on quantitative, qualitative, theoretical, and clinical validity. Cluster profiles were then created through statistical analysis of cognitive and clinical/demographic variables. A descriptive analysis of each cluster's performance on a comprehensive PD-MCI diagnostic battery was also explored.
resultsThe resulting cluster structure revealed four distinct cognitive phenotypes: (1) frontal-dominant impairment; (2) posterior-cortical-dominant impairment; (3) global impairment, and (4) cognitively intact. Demographic profiling revealed significant differences in the age, gender split, global cognitive ability, and motor symptoms between these clusters. However, there were no significant differences between the clusters on measures of depression, apathy, and anxiety.
conclusionThese results validate the existence of distinct cognitive phenotypes within PD-MCI and encourage future research into their clinical trajectory and neuroimaging correlates.
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