ArticleAlzheimer's & dementia (Amsterdam, Netherlands)
A network perspective on cognition in individuals with Parkinson's disease.
Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Cognitive structure and progression in Parkinson's disease: insights from a tablet-based assessment.Scientific reports · 2026Article
- Motor-Derived Digital Biomarkers for Identifying Low-MoCA Status in People with Parkinson's Disease.Sensors (Basel, Switzerland) · 2026Article
- Temporal dynamics of cognitive functioning in people with Parkinson's disease.NPJ Parkinson's disease · 2026Article
- A network perspective on cognition in individuals with Parkinson's disease.Alzheimer's & dementia (Amsterdam, Netherlands)Article
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Authors and funding
18 authors.
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Abstract
introductionIn neuropsychological diagnostics, the assignment of cognitive tests to domains is usually not empirically based. Hence, we aimed to assess the dimensionality structure of cognition in individuals with Parkinson's disease (PD) and conceptually replicate the findings in cognitively healthy individuals (CHIs).
methodsWe performed Exploratory Graph Analysis (EGA) for dimensionality analysis of cognitive test scores in
resultsEGA identified five dimensions. After removing redundancy identified by UVA, EGA identified a unidimensional structure of cognitive test scores. The findings were conceptually replicated in CHIs. DISCUSSION: The findings imply the need to re-evaluate the composition of cognitive test batteries to reduce redundancy and improve the validity of cognitive diagnostics. Cognition may be better described as a network of interrelated cognitive functions rather than a factorial structure of latent cognitive domains. Highlights: Cognitive test scores of the same paradigm were strongly associated with each other.This finding indicates redundancy in the cognitive test battery.After removing redundancy, scores were best represented by unidimensional structures.The findings in Parkinson's disease were conceptually replicated in healthy controls.The results suggest that cognition should be viewed as a complex "network" of interrelated functions.
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