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Large-Scale Functional Brain Networks of Maladaptive Childhood Aggression Identified by Connectome-Based Predictive Modeling
Disruptions in frontoparietal networks supporting emotion regulation have been long implicated in maladaptive childhood aggression. However, the association of connectivity between large-scale functional networks with aggressive behavior has not been tested. The present study examined whether the fu...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9035467/ https://www.ncbi.nlm.nih.gov/pubmed/34690348 http://dx.doi.org/10.1038/s41380-021-01317-5 |
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author | Ibrahim, Karim Noble, Stephanie He, George Lacadie, Cheryl Crowley, Michael J. McCarthy, Gregory Scheinost, Dustin Sukhodolsky, Denis G. |
author_facet | Ibrahim, Karim Noble, Stephanie He, George Lacadie, Cheryl Crowley, Michael J. McCarthy, Gregory Scheinost, Dustin Sukhodolsky, Denis G. |
author_sort | Ibrahim, Karim |
collection | PubMed |
description | Disruptions in frontoparietal networks supporting emotion regulation have been long implicated in maladaptive childhood aggression. However, the association of connectivity between large-scale functional networks with aggressive behavior has not been tested. The present study examined whether the functional organization of the connectome predicts severity of aggression in children. This cross-sectional study included a transdiagnostic sample of 100 children with aggressive behavior (27 females) and 29 healthy controls without aggression or psychiatric disorders (13 females). Severity of aggression was indexed by the total score on the parent-rated Reactive-Proactive Aggression Questionnaire. During fMRI, participants completed a face emotion perception task of fearful and calm faces. Connectome-based predictive modeling with internal cross-validation was conducted to identify brain networks that predicted aggression severity. The replication and generalizability of the aggression predictive model was then tested in an independent sample of children from the Adolescent Brain Cognitive Development (ABCD) study. Connectivity predictive of aggression was identified within and between networks implicated in cognitive control (medial frontal, frontoparietal), social functioning (default mode, salience), and emotion processing (subcortical, sensorimotor) (r=0.31, RMSE = 9.05, p=0.005). Out-of-sample replication (p<0.002) and generalization (p=0.007) of findings predicting aggression from the functional connectome was demonstrated in an independent sample of children from the ABCD study (n=1,791; n=1,701). Individual differences in large-scale functional networks contribute to variability in maladaptive aggression in children with psychiatric disorders. Linking these individual differences in the connectome to variation in behavioral phenotypes will advance identification of neural biomarkers of maladaptive childhood aggression to inform targeted treatments. |
format | Online Article Text |
id | pubmed-9035467 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-90354672022-05-02 Large-Scale Functional Brain Networks of Maladaptive Childhood Aggression Identified by Connectome-Based Predictive Modeling Ibrahim, Karim Noble, Stephanie He, George Lacadie, Cheryl Crowley, Michael J. McCarthy, Gregory Scheinost, Dustin Sukhodolsky, Denis G. Mol Psychiatry Article Disruptions in frontoparietal networks supporting emotion regulation have been long implicated in maladaptive childhood aggression. However, the association of connectivity between large-scale functional networks with aggressive behavior has not been tested. The present study examined whether the functional organization of the connectome predicts severity of aggression in children. This cross-sectional study included a transdiagnostic sample of 100 children with aggressive behavior (27 females) and 29 healthy controls without aggression or psychiatric disorders (13 females). Severity of aggression was indexed by the total score on the parent-rated Reactive-Proactive Aggression Questionnaire. During fMRI, participants completed a face emotion perception task of fearful and calm faces. Connectome-based predictive modeling with internal cross-validation was conducted to identify brain networks that predicted aggression severity. The replication and generalizability of the aggression predictive model was then tested in an independent sample of children from the Adolescent Brain Cognitive Development (ABCD) study. Connectivity predictive of aggression was identified within and between networks implicated in cognitive control (medial frontal, frontoparietal), social functioning (default mode, salience), and emotion processing (subcortical, sensorimotor) (r=0.31, RMSE = 9.05, p=0.005). Out-of-sample replication (p<0.002) and generalization (p=0.007) of findings predicting aggression from the functional connectome was demonstrated in an independent sample of children from the ABCD study (n=1,791; n=1,701). Individual differences in large-scale functional networks contribute to variability in maladaptive aggression in children with psychiatric disorders. Linking these individual differences in the connectome to variation in behavioral phenotypes will advance identification of neural biomarkers of maladaptive childhood aggression to inform targeted treatments. 2022-02 2021-10-25 /pmc/articles/PMC9035467/ /pubmed/34690348 http://dx.doi.org/10.1038/s41380-021-01317-5 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms |
spellingShingle | Article Ibrahim, Karim Noble, Stephanie He, George Lacadie, Cheryl Crowley, Michael J. McCarthy, Gregory Scheinost, Dustin Sukhodolsky, Denis G. Large-Scale Functional Brain Networks of Maladaptive Childhood Aggression Identified by Connectome-Based Predictive Modeling |
title | Large-Scale Functional Brain Networks of Maladaptive Childhood Aggression Identified by Connectome-Based Predictive Modeling |
title_full | Large-Scale Functional Brain Networks of Maladaptive Childhood Aggression Identified by Connectome-Based Predictive Modeling |
title_fullStr | Large-Scale Functional Brain Networks of Maladaptive Childhood Aggression Identified by Connectome-Based Predictive Modeling |
title_full_unstemmed | Large-Scale Functional Brain Networks of Maladaptive Childhood Aggression Identified by Connectome-Based Predictive Modeling |
title_short | Large-Scale Functional Brain Networks of Maladaptive Childhood Aggression Identified by Connectome-Based Predictive Modeling |
title_sort | large-scale functional brain networks of maladaptive childhood aggression identified by connectome-based predictive modeling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9035467/ https://www.ncbi.nlm.nih.gov/pubmed/34690348 http://dx.doi.org/10.1038/s41380-021-01317-5 |
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