ArticleJournal of child psychology and psychiatry, and allied disciplines2024
Aberrant brain network topology in youth with a familial risk for bipolar disorder: a task-based fMRI connectome study.
Article in Journal of child psychology and psychiatry, and allied disciplines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 9 citations in OpenAlex.
- Different Changes in Brain Functional Networks Following 12-Week Psychostimulant Treatment in Attention-Deficit/Hyperactivity Disorder Youth With and Without Familial Risk for Bipolar I Disorder.Journal of the American Academy of Child and Adolescent Psychiatry · 2026Trial
- Mapping ADHD Heterogeneity and Biotypes through Topological Deviations in Morphometric Similarity Networks.medRxiv : the preprint server for health sciences · 2025Article
- Review
- Putative Risk Biomarkers of Bipolar Disorder in At-risk Youth.Neuroscience bulletin · 2024Review
Corrections and comments
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Authors and funding
15 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundYouth with a family history of bipolar disorder (BD) may be at increased risk for mood disorders and for developing side effects after antidepressant exposure. The neurobiological basis of these risks remains poorly understood. We aimed to identify biomarkers underlying risk by characterizing abnormalities in the brain connectome of symptomatic youth at familial risk for BD.
methodsDepressed and/or anxious youth (n = 119, age = 14.9 ± 1.6 years) with a family history of BD but no prior antidepressant exposure and typically developing controls (n = 57, age = 14.8 ± 1.7 years) received functional magnetic resonance imaging (fMRI) during an emotional continuous performance task. A generalized psychophysiological interaction (gPPI) analysis was performed to compare their brain connectome patterns, followed by machine learning of topological metrics.
resultsHigh-risk youth showed weaker connectivity patterns that were mainly located in the default mode network (DMN) (network weight = 50.1%) relative to controls, and connectivity patterns derived from the visual network (VN) constituted the largest proportion of aberrant stronger pairs (network weight = 54.9%). Global local efficiency (E
conclusionsOur findings of abnormal connectome organization in the DMN and VN may advance mechanistic understanding of risk for BD. Neuroimaging biomarkers of increased network segregation in the SFG and altered topological centrality in the insula and hippocampus in broader limbic systems may be used to target interventions tailored to mitigate the underlying risk of brain abnormalities in these at-risk youth.
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