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The relationship between cognitive functioning and psychopathology in patients with psychiatric disorders: a transdiagnostic network analysis

BACKGROUND: Patients with psychiatric disorders often experience cognitive dysfunction, but the precise relationship between cognitive deficits and psychopathology remains unclear. We investigated the relationships between domains of cognitive functioning and psychopathology in a transdiagnostic sam...

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Autores principales: Chavez-Baldini, UnYoung, Nieman, Dorien H., Keestra, Amos, Lok, Anja, Mocking, Roel J. T., de Koning, Pelle, Krzhizhanovskaya, Valeria V., Bockting, Claudi L.H., van Rooijen, Geeske, Smit, Dirk J. A., Sutterland, Arjen L., Verweij, Karin J. H., van Wingen, Guido, Wigman, Johanna T.W., Vulink, Nienke C., Denys, Damiaan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9899564/
https://www.ncbi.nlm.nih.gov/pubmed/34165065
http://dx.doi.org/10.1017/S0033291721001781
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author Chavez-Baldini, UnYoung
Nieman, Dorien H.
Keestra, Amos
Lok, Anja
Mocking, Roel J. T.
de Koning, Pelle
Krzhizhanovskaya, Valeria V.
Bockting, Claudi L.H.
van Rooijen, Geeske
Smit, Dirk J. A.
Sutterland, Arjen L.
Verweij, Karin J. H.
van Wingen, Guido
Wigman, Johanna T.W.
Vulink, Nienke C.
Denys, Damiaan
author_facet Chavez-Baldini, UnYoung
Nieman, Dorien H.
Keestra, Amos
Lok, Anja
Mocking, Roel J. T.
de Koning, Pelle
Krzhizhanovskaya, Valeria V.
Bockting, Claudi L.H.
van Rooijen, Geeske
Smit, Dirk J. A.
Sutterland, Arjen L.
Verweij, Karin J. H.
van Wingen, Guido
Wigman, Johanna T.W.
Vulink, Nienke C.
Denys, Damiaan
author_sort Chavez-Baldini, UnYoung
collection PubMed
description BACKGROUND: Patients with psychiatric disorders often experience cognitive dysfunction, but the precise relationship between cognitive deficits and psychopathology remains unclear. We investigated the relationships between domains of cognitive functioning and psychopathology in a transdiagnostic sample using a data-driven approach. METHODS: Cross-sectional network analyses were conducted to investigate the relationships between domains of psychopathology and cognitive functioning and detect clusters in the network. This naturalistic transdiagnostic sample consists of 1016 psychiatric patients who have a variety of psychiatric diagnoses, such as depressive disorders, anxiety disorders, obsessive−compulsive and related disorders, and schizophrenia spectrum and other psychotic disorders. Psychopathology symptoms were assessed using various questionnaires. Core cognitive domains were assessed with a battery of automated tests. RESULTS: Network analysis detected three clusters that we labelled: general psychopathology, substance use, and cognition. Depressive and anxiety symptoms, verbal memory, and visual attention were the most central nodes in the network. Most associations between cognitive functioning and symptoms were negative, i.e. increased symptom severity was associated with worse cognitive functioning. Cannabis use, (subclinical) psychotic experiences, and anhedonia had the strongest total negative relationships with cognitive variables. CONCLUSIONS: Cognitive functioning and psychopathology are independent but related dimensions, which interact in a transdiagnostic manner. Depression, anxiety, verbal memory, and visual attention are especially relevant in this network and can be considered independent transdiagnostic targets for research and treatment in psychiatry. Moreover, future research on cognitive functioning in psychopathology should take a transdiagnostic approach, focusing on symptom-specific interactions with cognitive domains rather than investigating cognitive functioning within diagnostic categories.
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spelling pubmed-98995642023-02-08 The relationship between cognitive functioning and psychopathology in patients with psychiatric disorders: a transdiagnostic network analysis Chavez-Baldini, UnYoung Nieman, Dorien H. Keestra, Amos Lok, Anja Mocking, Roel J. T. de Koning, Pelle Krzhizhanovskaya, Valeria V. Bockting, Claudi L.H. van Rooijen, Geeske Smit, Dirk J. A. Sutterland, Arjen L. Verweij, Karin J. H. van Wingen, Guido Wigman, Johanna T.W. Vulink, Nienke C. Denys, Damiaan Psychol Med Original Article BACKGROUND: Patients with psychiatric disorders often experience cognitive dysfunction, but the precise relationship between cognitive deficits and psychopathology remains unclear. We investigated the relationships between domains of cognitive functioning and psychopathology in a transdiagnostic sample using a data-driven approach. METHODS: Cross-sectional network analyses were conducted to investigate the relationships between domains of psychopathology and cognitive functioning and detect clusters in the network. This naturalistic transdiagnostic sample consists of 1016 psychiatric patients who have a variety of psychiatric diagnoses, such as depressive disorders, anxiety disorders, obsessive−compulsive and related disorders, and schizophrenia spectrum and other psychotic disorders. Psychopathology symptoms were assessed using various questionnaires. Core cognitive domains were assessed with a battery of automated tests. RESULTS: Network analysis detected three clusters that we labelled: general psychopathology, substance use, and cognition. Depressive and anxiety symptoms, verbal memory, and visual attention were the most central nodes in the network. Most associations between cognitive functioning and symptoms were negative, i.e. increased symptom severity was associated with worse cognitive functioning. Cannabis use, (subclinical) psychotic experiences, and anhedonia had the strongest total negative relationships with cognitive variables. CONCLUSIONS: Cognitive functioning and psychopathology are independent but related dimensions, which interact in a transdiagnostic manner. Depression, anxiety, verbal memory, and visual attention are especially relevant in this network and can be considered independent transdiagnostic targets for research and treatment in psychiatry. Moreover, future research on cognitive functioning in psychopathology should take a transdiagnostic approach, focusing on symptom-specific interactions with cognitive domains rather than investigating cognitive functioning within diagnostic categories. Cambridge University Press 2023-01 2021-06-24 /pmc/articles/PMC9899564/ /pubmed/34165065 http://dx.doi.org/10.1017/S0033291721001781 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re- use, distribution and reproduction, provided the original article is properly cited.
spellingShingle Original Article
Chavez-Baldini, UnYoung
Nieman, Dorien H.
Keestra, Amos
Lok, Anja
Mocking, Roel J. T.
de Koning, Pelle
Krzhizhanovskaya, Valeria V.
Bockting, Claudi L.H.
van Rooijen, Geeske
Smit, Dirk J. A.
Sutterland, Arjen L.
Verweij, Karin J. H.
van Wingen, Guido
Wigman, Johanna T.W.
Vulink, Nienke C.
Denys, Damiaan
The relationship between cognitive functioning and psychopathology in patients with psychiatric disorders: a transdiagnostic network analysis
title The relationship between cognitive functioning and psychopathology in patients with psychiatric disorders: a transdiagnostic network analysis
title_full The relationship between cognitive functioning and psychopathology in patients with psychiatric disorders: a transdiagnostic network analysis
title_fullStr The relationship between cognitive functioning and psychopathology in patients with psychiatric disorders: a transdiagnostic network analysis
title_full_unstemmed The relationship between cognitive functioning and psychopathology in patients with psychiatric disorders: a transdiagnostic network analysis
title_short The relationship between cognitive functioning and psychopathology in patients with psychiatric disorders: a transdiagnostic network analysis
title_sort relationship between cognitive functioning and psychopathology in patients with psychiatric disorders: a transdiagnostic network analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9899564/
https://www.ncbi.nlm.nih.gov/pubmed/34165065
http://dx.doi.org/10.1017/S0033291721001781
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