Network-wise surface-based morphometric insight into the cortical neural circuitry underlying irritability in adolescents

Abstract Previous studies examining structural brain correlates of irritability have taken a region-specific approach and have been relatively inconsistent. In a sample of adolescents with and without clinically impairing irritability, the current study examines: (i) cortical volume (CV) in canonica...

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Autores principales:	Sahil Bajaj, Karina S. Blair, Johannah Bashford-Largo, Ru Zhang, Avantika Mathur, Amanda Schwartz, Jaimie Elowsky, Matthew Dobbertin, Soonjo Hwang, Ellen Leibenluft, R. James R. Blair
Formato:	article
Lenguaje:	EN
Publicado:	Nature Publishing Group 2021
Materias:	Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Acceso en línea:	https://doaj.org/article/10ab007c046745e085ab48b84ecf587e
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spelling	oai:doaj.org-article:10ab007c046745e085ab48b84ecf587e2021-11-14T12:11:32ZNetwork-wise surface-based morphometric insight into the cortical neural circuitry underlying irritability in adolescents10.1038/s41398-021-01710-22158-3188https://doaj.org/article/10ab007c046745e085ab48b84ecf587e2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41398-021-01710-2https://doaj.org/toc/2158-3188Abstract Previous studies examining structural brain correlates of irritability have taken a region-specific approach and have been relatively inconsistent. In a sample of adolescents with and without clinically impairing irritability, the current study examines: (i) cortical volume (CV) in canonical functional networks; (ii) the association between the CV of functional networks and severity of irritability; and (iii) the extent to which IQ mediates the association between structural abnormalities and severity of irritability. Structural MRI and IQ data were collected from 130 adolescents with high irritability (mean age = 15.54±1.83 years, 58 females, self-reported Affective Reactivity Index [ARI] ≥ 4) and 119 adolescents with low irritability (mean age = 15.10±1.93 years, 39 females, self-reported ARI < 4). Subject-specific network-wise CV was estimated after parcellating the whole brain into 17 previously reported functional networks. Our Multivariate Analysis of Covariance (MANCOVA) revealed that adolescents with high irritability had significantly reduced CV of the bilateral control and default-mode networks (p < 0.05) relative to adolescents with low irritability. Multiple regression analyses showed a significant negative association between the control network CV and the severity of irritability. Mediation analysis showed that IQ partially mediated the association between the control network CV and the severity of irritability. Follow-up analysis on subcortical volume (SCV) showed that adolescents with high irritability had reduced bilateral SCV within the amygdala relative to adolescents with low irritability. Reduced CV within bilateral control and default networks and reduced SCV within bilateral amygdala may represent core features of the pathophysiology of irritability. The current data also indicate the potential importance of a patient’s IQ in determining how pathophysiology related to the control network is expressed.Sahil BajajKarina S. BlairJohannah Bashford-LargoRu ZhangAvantika MathurAmanda SchwartzJaimie ElowskyMatthew DobbertinSoonjo HwangEllen LeibenluftR. James R. BlairNature Publishing GrouparticleNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENTranslational Psychiatry, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
spellingShingle	Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Sahil Bajaj Karina S. Blair Johannah Bashford-Largo Ru Zhang Avantika Mathur Amanda Schwartz Jaimie Elowsky Matthew Dobbertin Soonjo Hwang Ellen Leibenluft R. James R. Blair Network-wise surface-based morphometric insight into the cortical neural circuitry underlying irritability in adolescents
description	Abstract Previous studies examining structural brain correlates of irritability have taken a region-specific approach and have been relatively inconsistent. In a sample of adolescents with and without clinically impairing irritability, the current study examines: (i) cortical volume (CV) in canonical functional networks; (ii) the association between the CV of functional networks and severity of irritability; and (iii) the extent to which IQ mediates the association between structural abnormalities and severity of irritability. Structural MRI and IQ data were collected from 130 adolescents with high irritability (mean age = 15.54±1.83 years, 58 females, self-reported Affective Reactivity Index [ARI] ≥ 4) and 119 adolescents with low irritability (mean age = 15.10±1.93 years, 39 females, self-reported ARI < 4). Subject-specific network-wise CV was estimated after parcellating the whole brain into 17 previously reported functional networks. Our Multivariate Analysis of Covariance (MANCOVA) revealed that adolescents with high irritability had significantly reduced CV of the bilateral control and default-mode networks (p < 0.05) relative to adolescents with low irritability. Multiple regression analyses showed a significant negative association between the control network CV and the severity of irritability. Mediation analysis showed that IQ partially mediated the association between the control network CV and the severity of irritability. Follow-up analysis on subcortical volume (SCV) showed that adolescents with high irritability had reduced bilateral SCV within the amygdala relative to adolescents with low irritability. Reduced CV within bilateral control and default networks and reduced SCV within bilateral amygdala may represent core features of the pathophysiology of irritability. The current data also indicate the potential importance of a patient’s IQ in determining how pathophysiology related to the control network is expressed.
format	article
author	Sahil Bajaj Karina S. Blair Johannah Bashford-Largo Ru Zhang Avantika Mathur Amanda Schwartz Jaimie Elowsky Matthew Dobbertin Soonjo Hwang Ellen Leibenluft R. James R. Blair
author_facet	Sahil Bajaj Karina S. Blair Johannah Bashford-Largo Ru Zhang Avantika Mathur Amanda Schwartz Jaimie Elowsky Matthew Dobbertin Soonjo Hwang Ellen Leibenluft R. James R. Blair
author_sort	Sahil Bajaj
title	Network-wise surface-based morphometric insight into the cortical neural circuitry underlying irritability in adolescents
title_short	Network-wise surface-based morphometric insight into the cortical neural circuitry underlying irritability in adolescents
title_full	Network-wise surface-based morphometric insight into the cortical neural circuitry underlying irritability in adolescents
title_fullStr	Network-wise surface-based morphometric insight into the cortical neural circuitry underlying irritability in adolescents
title_full_unstemmed	Network-wise surface-based morphometric insight into the cortical neural circuitry underlying irritability in adolescents
title_sort	network-wise surface-based morphometric insight into the cortical neural circuitry underlying irritability in adolescents
publisher	Nature Publishing Group
publishDate	2021
url	https://doaj.org/article/10ab007c046745e085ab48b84ecf587e
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Network-wise surface-based morphometric insight into the cortical neural circuitry underlying irritability in adolescents

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