Clarifying the role of Cortico-Cortical and Amygdalo-Cortical brain dysconnectivity associated with Conduct Problems
- PMID: 36791489
- PMCID: PMC9958059
- DOI: 10.1016/j.nicl.2023.103346
Clarifying the role of Cortico-Cortical and Amygdalo-Cortical brain dysconnectivity associated with Conduct Problems
Abstract
A recent meta-analysis of resting-state functional connectivity studies revealed that individuals exhibiting antisocial behaviors or conduct problems may show disrupted brain connectivity in networks underpinning socio-affective and attentional processes. However, studies included in the meta-analysis generally rely on small sample sizes and substantially differ in terms of psychometric scales and neuroimaging methodologies. Therefore, we aimed to identify reliable functional brain connectivity alterations associated with severity of conduct problems using a large sample of adolescents and two measures of conduct problems. In a sample of 1416 children and adolescents, mass-univariate analyses of connectivity measures between 333 cortical parcels were conducted to examine the relationship between resting-state functional cortical-cortical connectome and the severity of conduct problems using the Child Behavior Checklist (CBCL) and the Strengths and Difficulties Questionnaire (SDQ). At a liberal threshold, results showed that the functional brain connectivity significantly associated with conduct problems largely differ between the two scales. Indeed, only 21 pairs of brain regions overlapped between the CBCL and SDQ. Permutation feature importance of these 21 brain connectivity measures revealed that connectivity between precentral/postcentral gyri and lateral prefrontal cortex (both ventral and dorsal) were the most important features in explaining variance in conduct problems. The current study highlights that psychometric measures may yield distinct functional connectivity results. Moreover, severity of conduct problems in children and adolescents was mainly associated with deficient functional connectivity of somatomotor and ventral attention networks indicating potential alterations in motor, cognitive and reward processes.
Keywords: Antisocial behaviors; Conduct disorder; Functional connectivity; Somatomotor.
Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.
Conflict of interest statement
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Figures



Similar articles
-
Impaired attentional and socio-affective networks in subjects with antisocial behaviors: a meta-analysis of resting-state functional connectivity studies.Psychol Med. 2021 Jun;51(8):1249-1259. doi: 10.1017/S0033291721001525. Epub 2021 Apr 27. Psychol Med. 2021. PMID: 33902772 Review.
-
Altered functional connectivity of the amygdala across variants of callous-unemotional traits: A resting-state fMRI study in children and adolescents.J Psychiatr Res. 2023 Jul;163:32-42. doi: 10.1016/j.jpsychires.2023.05.002. Epub 2023 May 10. J Psychiatr Res. 2023. PMID: 37201236
-
Association of Intrinsic Brain Architecture With Changes in Attentional and Mood Symptoms During Development.JAMA Psychiatry. 2020 Apr 1;77(4):378-386. doi: 10.1001/jamapsychiatry.2019.4208. JAMA Psychiatry. 2020. PMID: 31876910 Free PMC article.
-
Individual differences in delay discounting are associated with dorsal prefrontal cortex connectivity in children, adolescents, and adults.Dev Cogn Neurosci. 2023 Aug;62:101265. doi: 10.1016/j.dcn.2023.101265. Epub 2023 Jun 12. Dev Cogn Neurosci. 2023. PMID: 37327696 Free PMC article.
-
Different functional alteration in attention-deficit/hyperactivity disorder across developmental age groups: A meta-analysis and an independent validation of resting-state functional connectivity studies.CNS Neurosci Ther. 2023 Jan;29(1):60-69. doi: 10.1111/cns.14032. Epub 2022 Dec 5. CNS Neurosci Ther. 2023. PMID: 36468409 Free PMC article. Review.
Cited by
-
Is There a Natural, Non-addictive, and Non-anti-reward, Safe, Gene-based Solution to Treat Reward Deficiency Syndrome? KB220 Variants vs GLP-1 Analogs.J Addict Psychiatry. 2024;8(1):34-49. Epub 2024 May 20. J Addict Psychiatry. 2024. PMID: 39618491 Free PMC article.
-
Investigating the impact of lumping heterogenous conduct problems: aggression and rule-breaking rely on distinct spontaneous brain activity.Eur Child Adolesc Psychiatry. 2025 Mar;34(3):1207-1219. doi: 10.1007/s00787-024-02557-w. Epub 2024 Aug 14. Eur Child Adolesc Psychiatry. 2025. PMID: 39143190 Free PMC article.
-
Somatomotor Disconnection Links Sleep Duration With Socioeconomic Context, Screen Time, Cognition, and Psychopathology.Biol Psychiatry Glob Open Sci. 2025 Apr 30;5(4):100522. doi: 10.1016/j.bpsgos.2025.100522. eCollection 2025 Jul. Biol Psychiatry Glob Open Sci. 2025. PMID: 40530340 Free PMC article.
-
Different whole-brain functional connectivity correlates of reactive-proactive aggression and callous-unemotional traits in children and adolescents with disruptive behaviors.Neuroimage Clin. 2023;40:103542. doi: 10.1016/j.nicl.2023.103542. Epub 2023 Nov 13. Neuroimage Clin. 2023. PMID: 37988996 Free PMC article.
-
Executive function and underlying brain network distinctions for callous-unemotional traits and conduct problems in adolescents.bioRxiv [Preprint]. 2023 Nov 1:2023.10.31.565009. doi: 10.1101/2023.10.31.565009. bioRxiv. 2023. Update in: Psychiatry Res Neuroimaging. 2025 Jun;349:111971. doi: 10.1016/j.pscychresns.2025.111971. PMID: 37961691 Free PMC article. Updated. Preprint.
References
-
- Achenbach, T.M., Rescorla, L.A., 2001. Manual for the ASEBA school-age forms & profiles: child behavior checklist for ages 6-18, teacher's report form, youth self-report: an integrated system of multi-informant assessment. University of Vermont, research center for children youth & families.
-
- Afzali M.H., Dagher A., Edalati H., Bourque J., Spinney S., Sharkey R.J., Conrod P. Adolescent resting-state brain networks and unique variability of conduct problems within the externalizing dimension. J. Pers. Disord. 2020;34:609–627. - PubMed
-
- Alegria A.A., Radua J., Rubia K. Meta-analysis of fMRI studies of disruptive behavior disorders. Am. J. Psychiatry. 2016;173:1119–1130. - PubMed
-
- Alexander L.M., Escalera J., Ai L., Andreotti C., Febre K., Mangone A., Vega-Potler N., Langer N., Alexander A., Kovacs M., Litke S., O'Hagan B., Andersen J., Bronstein B., Bui A., Bushey M., Butler H., Castagna V., Camacho N., Chan E., Citera D., Clucas J., Cohen S., Dufek S., Eaves M., Fradera B., Gardner J., Grant-Villegas N., Green G., Gregory C., Hart E., Harris S., Horton M., Kahn D., Kabotyanski K., Karmel B., Kelly S.P., Kleinman K., Koo B., Kramer E., Lennon E., Lord C., Mantello G., Margolis A., Merikangas K.R., Milham J., Minniti G., Neuhaus R., Levine A., Osman Y., Parra L.C., Pugh K.R., Racanello A., Restrepo A., Saltzman T., Septimus B., Tobe R., Waltz R., Williams A., Yeo A., Castellanos F.X., Klein A., Paus T., Leventhal B.L., Craddock R.C., Koplewicz H.S., Milham M.P. An open resource for transdiagnostic research in pediatric mental health and learning disorders. Sci. Data. 2017;4 - PMC - PubMed
-
- American Psychiatric Association, 2013. Diagnostic and statistical manual of mental disorders (5th ed.). Arlington, VA: Author.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical