4.7 Review

Systematic review of data-driven cognitive subtypes in Parkinson disease

期刊

EUROPEAN JOURNAL OF NEUROLOGY
卷 29, 期 11, 页码 3395-3417

出版社

WILEY
DOI: 10.1111/ene.15481

关键词

cluster analysis; cognitive impairment; dementia; neuroimaging; Parkinson disease

资金

  1. Australian Government
  2. National Health and Medical Research Council

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This review evaluates the literature on data-driven subtypes of cognition in Parkinson's disease (PD), finding that there are subtype structures either showing a spectrum of severity or specific domains of impairment. Neuroimaging evidence provides insight into distinct patterns of brain alterations among subtypes. The clinical relevance of certain cognitive subtypes in PD is highlighted, but further research is needed to explore the underlying neural mechanisms.
Background and purpose Recent application of the mild cognitive impairment concept to Parkinson disease (PD) has proven valuable in identifying patients at risk of dementia. However, it has sparked controversy regarding the existence of cognitive subtypes. The present review evaluates the current literature pertaining to data-driven subtypes of cognition in PD. Methods Following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, systematic literature searches for peer-reviewed articles on the topic of cognitive subtyping in PD were performed. Results Twenty-two relevant articles were identified in the systematic search. Subtype structures showed either a spectrum of severity or specific domains of impairment. Domain-specific subtypes included amnestic/nonamnestic, memory/executive, and frontal/posterior dichotomies, as well as more complex structures with less definitive groupings. Preliminary longitudinal evidence showed some differences in cognitive progression among subtypes. Neuroimaging evidence provided insight into distinct patterns of brain alterations among subtypes. Conclusions Recurring phenotypes in the literature suggest strong clinical relevance of certain cognitive subtypes in PD. Although the current literature is limited, it raises critical questions about the utility of data-driven methods in cognitive research. The results encourage further integration of neuroimaging research to define the latent neural mechanisms behind divergent subtypes. Although there is no consensus, there appears to be growing consistency and inherent value in identifying cognitive subtypes in PD.

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