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 cog...
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Wiley
2025-01-01
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| Series: | Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring |
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| Online Access: | https://doi.org/10.1002/dad2.70091 |
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| author | Daniel Scharfenberg Elke Kalbe Monika Balzer‐Geldsetzer Daniela Berg Rüdiger Hilker‐Roggendorf Jan Kassubek Inga Liepelt‐Scarfone Brit Mollenhauer Kathrin Reetz Oliver Riedel Sandra Roeske Jörg B. Schulz Alexander Storch Claudia Trenkwalder Karsten Witt Hans‐Ulrich Wittchen Richard Dodel Anja Ophey |
| author_facet | Daniel Scharfenberg Elke Kalbe Monika Balzer‐Geldsetzer Daniela Berg Rüdiger Hilker‐Roggendorf Jan Kassubek Inga Liepelt‐Scarfone Brit Mollenhauer Kathrin Reetz Oliver Riedel Sandra Roeske Jörg B. Schulz Alexander Storch Claudia Trenkwalder Karsten Witt Hans‐Ulrich Wittchen Richard Dodel Anja Ophey |
| author_sort | Daniel Scharfenberg |
| collection | DOAJ |
| description | 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 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. |
| format | Article |
| id | doaj-art-b13a6170dce344dfb86f9c61fbc5b7cf |
| institution | Kabale University |
| issn | 2352-8729 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring |
| spelling | doaj-art-b13a6170dce344dfb86f9c61fbc5b7cf2025-08-20T03:42:18ZengWileyAlzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring2352-87292025-01-01171n/an/a10.1002/dad2.70091A network perspective on cognition in individuals with Parkinson's diseaseDaniel Scharfenberg0Elke Kalbe1Monika Balzer‐Geldsetzer2Daniela Berg3Rüdiger Hilker‐Roggendorf4Jan Kassubek5Inga Liepelt‐Scarfone6Brit Mollenhauer7Kathrin Reetz8Oliver Riedel9Sandra Roeske10Jörg B. Schulz11Alexander Storch12Claudia Trenkwalder13Karsten Witt14Hans‐Ulrich Wittchen15Richard Dodel16Anja Ophey17Medical Psychology, Neuropsychology and Gender Studies Center for Neuropsychological Diagnostics and Intervention (CeNDI) University Hospital Cologne and Faculty of Medicine University of Cologne Cologne GermanyMedical Psychology, Neuropsychology and Gender Studies Center for Neuropsychological Diagnostics and Intervention (CeNDI) University Hospital Cologne and Faculty of Medicine University of Cologne Cologne GermanyEthikkommission Ludwig‐Maximilians‐Universität München Munich GermanyDepartment of Neurology University Medical Center Schleswig‐Holstein, Christian Albrechts‐University (CAU) Campus Kiel Kiel GermanyDepartment of Neurology Klinikum Vest Recklinghausen GermanyDepartment of Neurology University Hospital Ulm Ulm GermanyDepartment of Neurodegenerative Diseases Hertie Institute for Clinical Brain Research and German Center for Neurodegenerative Diseases (DZNE) University Tübingen and German Center for Neurodegenerative Diseases Tübingen GermanyDepartment of Neurology Paracelsus‐Elena Klinik Kassel GermanyDepartment of Neurology RWTH Aachen University Hospital Aachen GermanyDepartment Clinical Epidemiology Leibniz Institute for Prevention Research and Epidemiology‐BIPS Bremen GermanyGerman Center for Neurodegenerative Diseases (DZNE) Bonn GermanyDepartment of Neurology RWTH Aachen University Hospital Aachen GermanyDepartment of Neurology University of Rostock and German Center for Neurodegenerative Diseases (DZNE) Rostock/Greifswald Rostock GermanyDepartment of Neurology Paracelsus‐Elena Klinik Kassel GermanyDepartment of Neurology School of Medicine and Health Sciences and Research Center Neurosensory Science University of Oldenburg Oldenburg GermanyClinical Psychology & Psychotherapy Ludwig‐Maximilians‐University Munich Munich GermanyDepartment of Geriatric Medicine University Duisburg‐Essen Essen GermanyMedical Psychology, Neuropsychology and Gender Studies Center for Neuropsychological Diagnostics and Intervention (CeNDI) University Hospital Cologne and Faculty of Medicine University of Cologne Cologne GermanyAbstract 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 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.https://doi.org/10.1002/dad2.70091cognitive declinecognitive domainsdimensionality analysismutualism hypothesisnetwork analysisnetwork neuropsychology |
| spellingShingle | Daniel Scharfenberg Elke Kalbe Monika Balzer‐Geldsetzer Daniela Berg Rüdiger Hilker‐Roggendorf Jan Kassubek Inga Liepelt‐Scarfone Brit Mollenhauer Kathrin Reetz Oliver Riedel Sandra Roeske Jörg B. Schulz Alexander Storch Claudia Trenkwalder Karsten Witt Hans‐Ulrich Wittchen Richard Dodel Anja Ophey A network perspective on cognition in individuals with Parkinson's disease Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring cognitive decline cognitive domains dimensionality analysis mutualism hypothesis network analysis network neuropsychology |
| title | A network perspective on cognition in individuals with Parkinson's disease |
| title_full | A network perspective on cognition in individuals with Parkinson's disease |
| title_fullStr | A network perspective on cognition in individuals with Parkinson's disease |
| title_full_unstemmed | A network perspective on cognition in individuals with Parkinson's disease |
| title_short | A network perspective on cognition in individuals with Parkinson's disease |
| title_sort | network perspective on cognition in individuals with parkinson s disease |
| topic | cognitive decline cognitive domains dimensionality analysis mutualism hypothesis network analysis network neuropsychology |
| url | https://doi.org/10.1002/dad2.70091 |
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