Evidence map›Paper›PMID 42167684›Full record

ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2026

Brainwide Structural Markers of Familial and Clinical Risk for Bipolar Disorder in Youth.

Danella M Hafeman, Jamie Feldman, John Merranko, Mary L Phillips, Boris Birmaher, Si Gao, Yizhou Ma, Peter Kochunov

Abstract read
In one paragraph

Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Danella M HafemanDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; Western Psychiatric Hospital, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania. Electronic address: hafemand@upmc.edu.
Jamie FeldmanWestern Psychiatric Hospital, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
John MerrankoWestern Psychiatric Hospital, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Mary L PhillipsDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Boris BirmaherDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Si GaoFaillace Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas.
Yizhou MaFaillace Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas.
Peter KochunovFaillace Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas.

Funding

Compensatory Neural Networks for the Cognitive Control of Emotion in Youth at Risk for Bipolar DisorderK23MH110421 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HAFEMAN, DANELLA MARIE · 2017 to 2021
$934k
NIMH NIH HHS K23 MH110421
6 · The paper itself

Abstract

backgroundBipolar disorder (BD) is a severe mental illness, often emerging during adolescence, that is associated with significant psychosocial impairment. BD risk is elevated in offspring of affected parents, particularly those with antecedent symptoms (e.g., mood lability, subthreshold manic symptoms). However, robust, replicable brain-based markers of risk in this population are lacking. We assessed the degree to which the regional vulnerability index for BD (RVI-BD), quantified as an individual's brainwide similarity to BD patterns derived from meta-analytic studies, is elevated in youth at familial risk and correlates with symptom predictors of BD.

methodsWe recruited 82 adolescents (ages 10-15 years), 41 with a first-degree relative with BD (at-risk) and 41 healthy control (HC) participants. The RVI-BD was calculated separately based on cortical thickness (CT) and subcortical volume (SV) patterns, by computing the average of RVI-BD metrics derived using case-control (alignment with BD patterns) and dimensional (alignment and deviation toward BD patterns) approaches.

resultsCompared with HC participants, at-risk youth showed higher CT-RVI-BD (d = 0.66, p = .006). Group differences were driven largely by at-risk individuals with attention-deficit/hyperactivity disorder (ADHD); however, ADHD was not associated with the RVI-BD in a separate population-based sample, suggesting that the combination of familial risk and ADHD most strongly predicts CT-RVI-BD. CT-RVI-BD (and to a lesser degree SV-RVI-BD) were also associated with parent-reported symptom scales, including subthreshold manic symptoms and mood lability.

conclusionsFindings suggest the RVI-BD as a potential marker of familial and clinical risk for BD. Future work should assess the degree to which CT-RVI-BD predicts longitudinal mood trajectories in at-risk youth.

Indexed as

Bipolar disorderChildren and adolescentsCortical thicknessFamily risk studiesRegional vulnerability indexStructural imaging

Identifiers

PMID42167684
PMCPMC13353016

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