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Neural signatures of data-driven psychopathology dimensions at the transition to adolescence

BACKGROUND: One of the challenges in human neuroscience is to uncover associations between brain organization and psychopathology in order to better understand the biological underpinnings of mental disorders. Here, we aimed to characterize the neural correlates of psychopathology dimensions obtaine...

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Autores principales: Modabbernia, Amirhossein, Michelini, Giorgia, Reichenberg, Abraham, Kotov, Roman, Barch, Deanna, Frangou, Sophia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8853849/
https://www.ncbi.nlm.nih.gov/pubmed/35067249
http://dx.doi.org/10.1192/j.eurpsy.2021.2262
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author Modabbernia, Amirhossein
Michelini, Giorgia
Reichenberg, Abraham
Kotov, Roman
Barch, Deanna
Frangou, Sophia
author_facet Modabbernia, Amirhossein
Michelini, Giorgia
Reichenberg, Abraham
Kotov, Roman
Barch, Deanna
Frangou, Sophia
author_sort Modabbernia, Amirhossein
collection PubMed
description BACKGROUND: One of the challenges in human neuroscience is to uncover associations between brain organization and psychopathology in order to better understand the biological underpinnings of mental disorders. Here, we aimed to characterize the neural correlates of psychopathology dimensions obtained using two conceptually different data-driven approaches. METHODS: Dimensions of psychopathology that were either maximally dissociable or correlated were respectively extracted by independent component analysis (ICA) and exploratory factor analysis (EFA) applied to the Childhood Behavior Checklist items from 9- to 10-year-olds (n = 9983; 47.8% female, 50.8% white) participating in the Adolescent Brain Cognitive Development study. The patterns of brain morphometry, white matter integrity and resting-state connectivity associated with each dimension were identified using kernel-based regularized least squares and compared between dimensions using Spearman’s correlation coefficient. RESULTS: ICA identified three psychopathology dimensions, representing opposition–disinhibition, cognitive dyscontrol, and negative affect, with distinct brain correlates. Opposition–disinhibition was negatively associated with cortical surface area, cognitive dyscontrol was negatively associated with anatomical and functional dysconnectivity while negative affect did not show discernable associations with any neuroimaging measure. EFA identified three dimensions representing broad externalizing, neurodevelopmental, and broad Internalizing problems with partially overlapping brain correlates. All EFA-derived dimensions were negatively associated with cortical surface area, whereas measures of functional and structural connectivity were associated only with the neurodevelopmental dimension. CONCLUSIONS: This study highlights the importance of cortical surface area and global connectivity for psychopathology in preadolescents and provides evidence for dissociable psychopathology dimensions with distinct brain correlates.
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spelling pubmed-88538492022-03-04 Neural signatures of data-driven psychopathology dimensions at the transition to adolescence Modabbernia, Amirhossein Michelini, Giorgia Reichenberg, Abraham Kotov, Roman Barch, Deanna Frangou, Sophia Eur Psychiatry Research Article BACKGROUND: One of the challenges in human neuroscience is to uncover associations between brain organization and psychopathology in order to better understand the biological underpinnings of mental disorders. Here, we aimed to characterize the neural correlates of psychopathology dimensions obtained using two conceptually different data-driven approaches. METHODS: Dimensions of psychopathology that were either maximally dissociable or correlated were respectively extracted by independent component analysis (ICA) and exploratory factor analysis (EFA) applied to the Childhood Behavior Checklist items from 9- to 10-year-olds (n = 9983; 47.8% female, 50.8% white) participating in the Adolescent Brain Cognitive Development study. The patterns of brain morphometry, white matter integrity and resting-state connectivity associated with each dimension were identified using kernel-based regularized least squares and compared between dimensions using Spearman’s correlation coefficient. RESULTS: ICA identified three psychopathology dimensions, representing opposition–disinhibition, cognitive dyscontrol, and negative affect, with distinct brain correlates. Opposition–disinhibition was negatively associated with cortical surface area, cognitive dyscontrol was negatively associated with anatomical and functional dysconnectivity while negative affect did not show discernable associations with any neuroimaging measure. EFA identified three dimensions representing broad externalizing, neurodevelopmental, and broad Internalizing problems with partially overlapping brain correlates. All EFA-derived dimensions were negatively associated with cortical surface area, whereas measures of functional and structural connectivity were associated only with the neurodevelopmental dimension. CONCLUSIONS: This study highlights the importance of cortical surface area and global connectivity for psychopathology in preadolescents and provides evidence for dissociable psychopathology dimensions with distinct brain correlates. Cambridge University Press 2022-01-24 /pmc/articles/PMC8853849/ /pubmed/35067249 http://dx.doi.org/10.1192/j.eurpsy.2021.2262 Text en © The Author(s) 2022 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 Research Article
Modabbernia, Amirhossein
Michelini, Giorgia
Reichenberg, Abraham
Kotov, Roman
Barch, Deanna
Frangou, Sophia
Neural signatures of data-driven psychopathology dimensions at the transition to adolescence
title Neural signatures of data-driven psychopathology dimensions at the transition to adolescence
title_full Neural signatures of data-driven psychopathology dimensions at the transition to adolescence
title_fullStr Neural signatures of data-driven psychopathology dimensions at the transition to adolescence
title_full_unstemmed Neural signatures of data-driven psychopathology dimensions at the transition to adolescence
title_short Neural signatures of data-driven psychopathology dimensions at the transition to adolescence
title_sort neural signatures of data-driven psychopathology dimensions at the transition to adolescence
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8853849/
https://www.ncbi.nlm.nih.gov/pubmed/35067249
http://dx.doi.org/10.1192/j.eurpsy.2021.2262
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