Resting-state network topology characterizing callous-unemotional traits in adolescence

Background: Callous-unemotional (CU) traits, a youth antisocial phenotype, are hypothesized to associate with aberrant connectivity (dis-integration) across the salience (SAL), default mode (DMN), and frontoparietal (FPN) networks. However, CU traits have a heterogeneous presentation and previous re...

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Autores principales:	Drew E. Winters, Joseph T. Sakai, R. McKell Carter
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Callous-unemotional traits Adolescence Network topology fMRI GIMME Computer applications to medicine. Medical informatics R858-859.7 Neurology. Diseases of the nervous system RC346-429
Acceso en línea:	https://doaj.org/article/35d553af385c45989dfaca586638d74f
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spelling	oai:doaj.org-article:35d553af385c45989dfaca586638d74f2021-11-18T04:48:23ZResting-state network topology characterizing callous-unemotional traits in adolescence2213-158210.1016/j.nicl.2021.102878https://doaj.org/article/35d553af385c45989dfaca586638d74f2021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2213158221003223https://doaj.org/toc/2213-1582Background: Callous-unemotional (CU) traits, a youth antisocial phenotype, are hypothesized to associate with aberrant connectivity (dis-integration) across the salience (SAL), default mode (DMN), and frontoparietal (FPN) networks. However, CU traits have a heterogeneous presentation and previous research has not modeled individual heterogeneity in resting-state connectivity amongst adolescents with CU traits. The present study models individual-specific network maps and examines topological features of individual and subgroup maps in relation to CU traits. Methods: Participants aged 13–17 (n = 84, male = 55%, female = 45%) completed resting-state functional connectivity and the inventory of callous-unemotional traits as part of the Nathan Klein Rockland study. A sparse network approach (GIMME) was used to derive individual-level and subgroup maps of all participants. We then examined heterogeneous network features, including positive and negative connection density, associated with CU traits. Results: Higher rates of CU traits increased probability of inclusion in one subgroup, which had the highest mean level of CU traits. Analysis of network features reveals less density (positive and negative) within the FPN and greater density between DMN-FPN associated with CU traits. Discussion: Findings indicate heterogeneous person-specific connections and some subgroup connections amongst adolescents associate with CU traits. Higher CU traits associate with lower density in the FPN, which has been associated with attention and inhibition, and higher density between the DMN-FPN, which have been linked with cognitive control, social working memory, and empathy. Our findings suggest less efficiency in FPN function which, when considered mechanistically, could result in difficulty suppressing DMN when task positive networks are engaged. This is an area for further exploration but could explain cognitive and socio-affective impairments in CU traits.Drew E. WintersJoseph T. SakaiR. McKell CarterElsevierarticleCallous-unemotional traitsAdolescenceNetwork topologyfMRIGIMMEComputer applications to medicine. Medical informaticsR858-859.7Neurology. Diseases of the nervous systemRC346-429ENNeuroImage: Clinical, Vol 32, Iss , Pp 102878- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Callous-unemotional traits Adolescence Network topology fMRI GIMME Computer applications to medicine. Medical informatics R858-859.7 Neurology. Diseases of the nervous system RC346-429
spellingShingle	Callous-unemotional traits Adolescence Network topology fMRI GIMME Computer applications to medicine. Medical informatics R858-859.7 Neurology. Diseases of the nervous system RC346-429 Drew E. Winters Joseph T. Sakai R. McKell Carter Resting-state network topology characterizing callous-unemotional traits in adolescence
description	Background: Callous-unemotional (CU) traits, a youth antisocial phenotype, are hypothesized to associate with aberrant connectivity (dis-integration) across the salience (SAL), default mode (DMN), and frontoparietal (FPN) networks. However, CU traits have a heterogeneous presentation and previous research has not modeled individual heterogeneity in resting-state connectivity amongst adolescents with CU traits. The present study models individual-specific network maps and examines topological features of individual and subgroup maps in relation to CU traits. Methods: Participants aged 13–17 (n = 84, male = 55%, female = 45%) completed resting-state functional connectivity and the inventory of callous-unemotional traits as part of the Nathan Klein Rockland study. A sparse network approach (GIMME) was used to derive individual-level and subgroup maps of all participants. We then examined heterogeneous network features, including positive and negative connection density, associated with CU traits. Results: Higher rates of CU traits increased probability of inclusion in one subgroup, which had the highest mean level of CU traits. Analysis of network features reveals less density (positive and negative) within the FPN and greater density between DMN-FPN associated with CU traits. Discussion: Findings indicate heterogeneous person-specific connections and some subgroup connections amongst adolescents associate with CU traits. Higher CU traits associate with lower density in the FPN, which has been associated with attention and inhibition, and higher density between the DMN-FPN, which have been linked with cognitive control, social working memory, and empathy. Our findings suggest less efficiency in FPN function which, when considered mechanistically, could result in difficulty suppressing DMN when task positive networks are engaged. This is an area for further exploration but could explain cognitive and socio-affective impairments in CU traits.
format	article
author	Drew E. Winters Joseph T. Sakai R. McKell Carter
author_facet	Drew E. Winters Joseph T. Sakai R. McKell Carter
author_sort	Drew E. Winters
title	Resting-state network topology characterizing callous-unemotional traits in adolescence
title_short	Resting-state network topology characterizing callous-unemotional traits in adolescence
title_full	Resting-state network topology characterizing callous-unemotional traits in adolescence
title_fullStr	Resting-state network topology characterizing callous-unemotional traits in adolescence
title_full_unstemmed	Resting-state network topology characterizing callous-unemotional traits in adolescence
title_sort	resting-state network topology characterizing callous-unemotional traits in adolescence
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/35d553af385c45989dfaca586638d74f
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Resting-state network topology characterizing callous-unemotional traits in adolescence

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