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. 2025 May 9;11(1):119.
doi: 10.1038/s41531-025-00970-9.

Data-driven characterization of distinct cognitive subtypes in Parkinson's disease dementia

Miguel A Labrador-Espinosa #  1   2 , Jesús Silva-Rodríguez #  3 , Pablo Mir  4   5   6 , Michel J Grothe  7
Affiliations

Data-driven characterization of distinct cognitive subtypes in Parkinson's disease dementia

Miguel A Labrador-Espinosa et al. NPJ Parkinsons Dis. .

Abstract

Individual cognitive profiles of patients with Parkinson's disease dementia (PDD) are highly heterogeneous, suggesting possible biological subtypes. We studied 75 PD patients who developed dementia in the course of the Parkinson's Progression Markers Initiative study to investigate data-driven evidence for the existence of distinct cognitive subtypes of PDD. Using Ward's hierarchical clustering on neuropsychological test data, we identified two distinct cognitive subtypes. Despite similar dementia severity (MoCA: 20.6 vs 20.0), cluster-A exhibited more pronounced memory deficits (n = 50), whereas cluster-B showed greater visuospatial impairments (n = 25). The subtypes did not differ in demographic, motor, or MRI-based neurodegeneration measures. However, the visuospatial-predominant cluster-B had a higher prevalence of GBA mutations (p = 0.003) and hallucinations (p = 0.009). No differences were found in APOE-ε4 prevalence or cerebrospinal fluid biomarkers of Alzheimer's pathology. These findings reveal distinct memory-predominant and visuospatial-predominant PDD subtypes, which associate with different clinical and genetic features but are independent of comorbid Alzheimer's pathology.

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Conflict of interest statement

Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1. Hierarchical clustering dendrogram and cognitive profiles of identified PDD subtypes.
Dendrogram resulting from Ward’s hierarchical clustering analysis of individual cognitive profiles of PDD patients (A). Two distinct clusters of patients are identified that are characterized by memory-predominant (Cluster-A) and visuospatial-predominant (Cluster-B) cognitive profiles, respectively. Cluster-specific cognitive profiles are represented by average w-scores referenced to the control group (B), as well as by mean-centered scores with reference to the average performance of the whole PDD group (C).
Fig. 2
Fig. 2. Molecular biomarker levels of PDD subtypes in comparison to healthy controls.
Beeswarm plots for CSF biomarker values of Aβ42 (A), and p-tau (B) levels across healthy controls (HC) and the two PDD clusters. HC Healthy controls, Cluster-A memory-predominant PDD subtype, Cluster-B visuospatial-predominant PDD subtype, n.s. not significant.
See this image and copyright information in PMC

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