Intrinsic functional brain connectivity in adolescent anxiety: Associations with behavioral phenotypes and cross-syndrome network features

Xavier Yan Heng Lim; Lizhu Luo; Junhong Yu

doi:10.1016/j.jad.2024.12.015

Intrinsic functional brain connectivity in adolescent anxiety: Associations with behavioral phenotypes and cross-syndrome network features

J Affect Disord. 2024 Dec 5:372:251-261. doi: 10.1016/j.jad.2024.12.015. Online ahead of print.

Authors

Xavier Yan Heng Lim¹, Lizhu Luo², Junhong Yu²

Affiliations

¹ Psychology, School of Social Sciences, Nanyang Technological University, Singapore. Electronic address: ylim185@e.ntu.edu.sg.
² Psychology, School of Social Sciences, Nanyang Technological University, Singapore.

PMID: 39644927
DOI: 10.1016/j.jad.2024.12.015

Abstract

Background: Considerable research has mapped the human brain networks implicated in anxiety. Yet, less is known about the intrinsic features of the brain implicated in adolescent anxiety and their generalizability to affective and behavioral problems. To this end, we investigated the intrinsic functional connectomes associated with anxiety, their associations with behavioral phenotypes of clinical interest, and the cross-syndrome overlap between the anxiety network and other affective syndromes in an adolescent sample.

Methods: We used the Boston Adolescent Neuroimaging of Depression and Anxiety (BANDA) dataset which comprises 203 clinical and healthy adolescents aged 14-17. Participants underwent a resting-state magnetic resonance imaging scan and completed the Child Behavior Checklist (CBCL) and Behavioral Inhibition/Activation System scale. Using network-based statistics, we identified functional networks associated with anxiety and other behavioral syndromes. The anxiety network strengths were then correlated with behavioral measures.

Results: A significant resting-state functional network associated with anxiety was identified, largely characterized by hyperconnectivity between the somatomotor and both the default mode network and subcortical regions. Network strengths derived from the anxiety network were significantly correlated to various behavioral syndromes, including internalizing and externalizing tendencies. Cross-syndrome overlapping edges were also observed in networks of internalizing disorders, more prominently post-traumatic stress syndromes.

Conclusions: Our results revealed the functional connectomes characteristic of anxiety in adolescents. This resting-state functional network was also predictive of and shared similar features with behavioral syndromes typically associated with anxiety-related disorders, providing evidence that the high comorbidity of anxiety with other clinical conditions may have a neurobiological basis.

Keywords: Adolescents; Anxiety; Behavioral symptoms; Functional magnetic resonance imaging; Network-based analysis; Resting-state functional connectivity.