Evidence map›Paper›PMID 39644927›Full record

ArticleJournal of affective disorders2025

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

Xavier Yan Heng Lim, Lizhu Luo, Junhong Yu

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Article in Journal of affective disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Xavier Yan Heng LimPsychology, School of Social Sciences, Nanyang Technological University, Singapore. Electronic address: ylim185@e.ntu.edu.sg.
Lizhu LuoPsychology, School of Social Sciences, Nanyang Technological University, Singapore.
Junhong YuPsychology, School of Social Sciences, Nanyang Technological University, Singapore.

Funding

Connectomes Related to Anxiety and Depression in AdolescentsU01MH108168 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIELI, JOHN, WHITFIELD-GABRIELI, SUSAN · 2015 to 2019
$4.6M
Adolescent Brain Bases of Intergenerational Risk for DepressionF32MH114525 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HUBBARD, NICHOLAS · 2017 to 2019
$123k
NIMH NIH HHS F32 MH114525NIMH NIH HHS U01 MH108168
6 · The paper itself

Abstract

backgroundConsiderable 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.

methodsWe 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.

resultsA 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.

conclusionsOur 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.

Indexed as

AnxietyAnxiety DisordersBrainConnectomeNerve NetAdolescentFemaleHumansMagnetic Resonance ImagingMaleNeural PathwaysPhenotypeAdolescentsAnxietyBehavioral symptomsFunctional magnetic resonance imagingNetwork-based analysisResting-state functional connectivity

Identifiers

PMID39644927
PMCPMC11846206

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