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

Autor:	Modabbernia A; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Michelini G; Department of Biological & Experimental Psychology, Queen Mary University of London, London, UK.; Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA., Reichenberg A; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; Seaver Center for Autism Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA., Kotov R; Department of Psychiatry and Behavioral Health, Stony Brook University, Stony Brook, New York, USA., Barch D; Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri, USA.; Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.; Department of Radiology, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA., Frangou S; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; Djavad Mowafaghian Centre for Brain Health, Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.
Jazyk:	angličtina
Zdroj:	European psychiatry : the journal of the Association of European Psychiatrists [Eur Psychiatry] 2022 Jan 24; Vol. 65 (1), pp. e12. Date of Electronic Publication: 2022 Jan 24.
DOI:	10.1192/j.eurpsy.2021.2262
Abstrakt:	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.
Databáze:	MEDLINE
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