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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| Format: | Article |
| Language: | English |
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Elsevier
2021-01-01
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| Series: | NeuroImage: Clinical |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2213158221003223 |
| _version_ | 1818723375422373888 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-17T21:09:31Z |
| format | Article |
| id | doaj.art-35d553af385c45989dfaca586638d74f |
| institution | Directory Open Access Journal |
| issn | 2213-1582 |
| language | English |
| last_indexed | 2024-12-17T21:09:31Z |
| publishDate | 2021-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage: Clinical |
| spelling | doaj.art-35d553af385c45989dfaca586638d74f2022-12-21T21:32:29ZengElsevierNeuroImage: Clinical2213-15822021-01-0132102878Resting-state network topology characterizing callous-unemotional traits in adolescenceDrew E. Winters0Joseph T. Sakai1R. McKell Carter2Department of Psychiatry, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA; Corresponding author.Department of Psychiatry, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USAInstitute of Cognitive Science, University of Colorado Boulder, Boulder, CO, USA; Department of Electrical, Computer and Energy Engineering, University of Colorado Boulder, Boulder, CO, USA; Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USABackground: 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.http://www.sciencedirect.com/science/article/pii/S2213158221003223Callous-unemotional traitsAdolescenceNetwork topologyfMRIGIMME |
| spellingShingle | Drew E. Winters Joseph T. Sakai R. McKell Carter Resting-state network topology characterizing callous-unemotional traits in adolescence NeuroImage: Clinical Callous-unemotional traits Adolescence Network topology fMRI GIMME |
| title | 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_short | Resting-state network topology characterizing callous-unemotional traits in adolescence |
| title_sort | resting state network topology characterizing callous unemotional traits in adolescence |
| topic | Callous-unemotional traits Adolescence Network topology fMRI GIMME |
| url | http://www.sciencedirect.com/science/article/pii/S2213158221003223 |
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