Scharfenberg, Daniel ORCID: 0000-0003-2781-3143, Kalbe, Elke ORCID: 0000-0001-8603-2545, Balzer‐Geldsetzer, Monika, Berg, Daniela ORCID: 0000-0001-5796-5442, Hilker‐Roggendorf, Rüdiger, Kassubek, Jan ORCID: 0000-0002-7106-9270, Liepelt‐Scarfone, Inga ORCID: 0000-0002-0875-892X, Mollenhauer, Brit, Reetz, Kathrin ORCID: 0000-0002-9730-9228, Riedel, Oliver ORCID: 0000-0002-1721-502X, Roeske, Sandra ORCID: 0000-0002-8262-4356, Schulz, Jörg B. ORCID: 0000-0002-8903-0593, Storch, Alexander ORCID: 0000-0002-1133-9216, Trenkwalder, Claudia, Witt, Karsten, Wittchen, Hans‐Ulrich, Dodel, Richard ORCID: 0000-0003-2044-6299 and Ophey, Anja ORCID: 0000-0001-5858-7762 (2025). A network perspective on cognition in individuals with Parkinson's disease. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 17 (1). pp. 1-10. Wiley. ISSN 2352-8729

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Identification Number:10.1002/dad2.70091

Abstract

[Artikel-Nr. e70091] 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 DEM- PARK/LANDSCAPE study. Redundancy was reduced based on Unique Variable Anal- ysis (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 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.

Item Type: Article
Creators:
Creators
Email
ORCID
ORCID Put Code
Scharfenberg, Daniel
UNSPECIFIED
UNSPECIFIED
Kalbe, Elke
UNSPECIFIED
UNSPECIFIED
Balzer‐Geldsetzer, Monika
UNSPECIFIED
UNSPECIFIED
UNSPECIFIED
Berg, Daniela
UNSPECIFIED
UNSPECIFIED
Hilker‐Roggendorf, Rüdiger
UNSPECIFIED
UNSPECIFIED
UNSPECIFIED
Kassubek, Jan
UNSPECIFIED
UNSPECIFIED
Liepelt‐Scarfone, Inga
UNSPECIFIED
UNSPECIFIED
Mollenhauer, Brit
UNSPECIFIED
UNSPECIFIED
UNSPECIFIED
Reetz, Kathrin
UNSPECIFIED
UNSPECIFIED
Riedel, Oliver
UNSPECIFIED
UNSPECIFIED
Roeske, Sandra
UNSPECIFIED
UNSPECIFIED
Schulz, Jörg B.
UNSPECIFIED
UNSPECIFIED
Storch, Alexander
UNSPECIFIED
UNSPECIFIED
Trenkwalder, Claudia
UNSPECIFIED
UNSPECIFIED
UNSPECIFIED
Witt, Karsten
UNSPECIFIED
UNSPECIFIED
UNSPECIFIED
Wittchen, Hans‐Ulrich
UNSPECIFIED
UNSPECIFIED
UNSPECIFIED
Dodel, Richard
UNSPECIFIED
UNSPECIFIED
Ophey, Anja
UNSPECIFIED
UNSPECIFIED
URN: urn:nbn:de:hbz:38-794433
Identification Number: 10.1002/dad2.70091
Journal or Publication Title: Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
Volume: 17
Number: 1
Page Range: pp. 1-10
Date: 24 January 2025
Publisher: Wiley
ISSN: 2352-8729
Language: English
Faculty: Faculty of Medicine
Divisions: Faculty of Medicine > Psychiatrie und Psychotherapie > Klinik und Poliklinik für Psychiatrie und Psychotherapie
Subjects: Medical sciences Medicine
['eprint_fieldname_oa_funders' not defined]: Publikationsfonds UzK
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/79443

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