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Dataset Information

A network perspective on cognition in individuals with Parkinson's disease.


ABSTRACT:

Introduction

In 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).

Methods

We performed Exploratory Graph Analysis (EGA) for dimensionality analysis of cognitive test scores in N = 698 individuals with PD from the DEMPARK/LANDSCAPE study. Redundancy was reduced based on Unique Variable Analysis (UVA) before re-performing EGA. CHI data (N = 60,398) served as a conceptual replication base.

Results

EGA identified five dimensions. After removing redundancy identified by UVA, EGA identified a unidimensional

SUBMITTER: Scharfenberg D 

PROVIDER: S-EPMC11848640 | biostudies-literature | 2025 Jan-Mar

REPOSITORIES: biostudies-literature