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Brain signatures in children who contemplate suicide: learning from the large-scale ABCD study

BACKGROUND: Suicide is the second-leading cause of death in youth. Understanding the neural correlates of suicide ideation (SI) in children is crucial to ongoing efforts to understand and prevent youth suicide. This study characterized key neural networks during rest and emotion task conditions in a...

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Autores principales: Wiglesworth, Andrea, Falke, Conner A., Fiecas, Mark, Luciana, Monica, Cullen, Kathryn R., Klimes-Dougan, Bonnie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10106301/
https://www.ncbi.nlm.nih.gov/pubmed/37310327
http://dx.doi.org/10.1017/S0033291721004074
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author Wiglesworth, Andrea
Falke, Conner A.
Fiecas, Mark
Luciana, Monica
Cullen, Kathryn R.
Klimes-Dougan, Bonnie
author_facet Wiglesworth, Andrea
Falke, Conner A.
Fiecas, Mark
Luciana, Monica
Cullen, Kathryn R.
Klimes-Dougan, Bonnie
author_sort Wiglesworth, Andrea
collection PubMed
description BACKGROUND: Suicide is the second-leading cause of death in youth. Understanding the neural correlates of suicide ideation (SI) in children is crucial to ongoing efforts to understand and prevent youth suicide. This study characterized key neural networks during rest and emotion task conditions in an epidemiologically informed sample of children who report current, past, or no SI. METHODS: Data are from the adolescent brain cognitive development study, including 8248 children (ages 9–10; mean age = 119.2 months; 49.2% female) recruited from the community. Resting-state functional connectivity (RSFC) and activation to emotional stimuli in the salience (SN) and default mode (DMN) networks were measured through fMRI. Self-reported SI and clinical profiles were gathered. We examined the replicability of our model results through repeated sub-sample reliability analyses. RESULTS: Children with current SI (2.0%), compared to those without any past SI, showed lower DMN RSFC (B = −0.267, p < 0.001) and lower DMN activation in response to negative as compared to neutral faces (B = −0.204, p = 0.010). These results were robust to the effects of MDD, ADHD, and medication use. Sub-sample analysis further supported the robustness of these results. We did not find support for differences in SN RSFC or in SN activation to positive or negative stimuli for children with or without SI. CONCLUSIONS: Results from a large brain imaging study using robust statistical approaches suggest aberrant DMN functioning in children with current suicide ideation. Findings suggest potential mechanisms that may be targeted in suicide prevention efforts.
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spelling pubmed-101063012023-04-17 Brain signatures in children who contemplate suicide: learning from the large-scale ABCD study Wiglesworth, Andrea Falke, Conner A. Fiecas, Mark Luciana, Monica Cullen, Kathryn R. Klimes-Dougan, Bonnie Psychol Med Original Article BACKGROUND: Suicide is the second-leading cause of death in youth. Understanding the neural correlates of suicide ideation (SI) in children is crucial to ongoing efforts to understand and prevent youth suicide. This study characterized key neural networks during rest and emotion task conditions in an epidemiologically informed sample of children who report current, past, or no SI. METHODS: Data are from the adolescent brain cognitive development study, including 8248 children (ages 9–10; mean age = 119.2 months; 49.2% female) recruited from the community. Resting-state functional connectivity (RSFC) and activation to emotional stimuli in the salience (SN) and default mode (DMN) networks were measured through fMRI. Self-reported SI and clinical profiles were gathered. We examined the replicability of our model results through repeated sub-sample reliability analyses. RESULTS: Children with current SI (2.0%), compared to those without any past SI, showed lower DMN RSFC (B = −0.267, p < 0.001) and lower DMN activation in response to negative as compared to neutral faces (B = −0.204, p = 0.010). These results were robust to the effects of MDD, ADHD, and medication use. Sub-sample analysis further supported the robustness of these results. We did not find support for differences in SN RSFC or in SN activation to positive or negative stimuli for children with or without SI. CONCLUSIONS: Results from a large brain imaging study using robust statistical approaches suggest aberrant DMN functioning in children with current suicide ideation. Findings suggest potential mechanisms that may be targeted in suicide prevention efforts. Cambridge University Press 2023-04 2021-11-17 /pmc/articles/PMC10106301/ /pubmed/37310327 http://dx.doi.org/10.1017/S0033291721004074 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
Wiglesworth, Andrea
Falke, Conner A.
Fiecas, Mark
Luciana, Monica
Cullen, Kathryn R.
Klimes-Dougan, Bonnie
Brain signatures in children who contemplate suicide: learning from the large-scale ABCD study
title Brain signatures in children who contemplate suicide: learning from the large-scale ABCD study
title_full Brain signatures in children who contemplate suicide: learning from the large-scale ABCD study
title_fullStr Brain signatures in children who contemplate suicide: learning from the large-scale ABCD study
title_full_unstemmed Brain signatures in children who contemplate suicide: learning from the large-scale ABCD study
title_short Brain signatures in children who contemplate suicide: learning from the large-scale ABCD study
title_sort brain signatures in children who contemplate suicide: learning from the large-scale abcd study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10106301/
https://www.ncbi.nlm.nih.gov/pubmed/37310327
http://dx.doi.org/10.1017/S0033291721004074
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