Evidence map›Paper›PMID 41547389›Full record

SynthesisBiological psychiatry2026

The Relationship Between Family History of Depression and Brain Structure and Function: A Systematic Review of Large Cohorts.

James O Woodruff, Tenzin Yangchen, Nora C Kelsall, Myrna M Weissman, Laura Beth McIntire, Ardesheer Talati, Milenna T van Dijk

Abstract readSystematic Review
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

James O WoodruffDivision of Translational Epidemiology, New York State Psychiatric Institute, New York, New York.
Tenzin YangchenDepartment of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island.
Nora C KelsallDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York.
Myrna M WeissmanDivision of Translational Epidemiology, New York State Psychiatric Institute, New York, New York; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York; Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, New York.
Laura Beth McIntireDepartment of Radiology, Brain Health Imaging Institute, Weill Medical College, Cornell University, New York, New York.
Ardesheer TalatiDivision of Translational Epidemiology, New York State Psychiatric Institute, New York, New York; Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, New York. Electronic address: adi.talati@nyspi.columbia.edu.
Milenna T van DijkDivision of Translational Epidemiology, New York State Psychiatric Institute, New York, New York; Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, New York.

Funding

Three Generations at High and Low Risk for Depression Followed LongitudinallyR01MH036197 · NIMH · YALE UNIVERSITY · PI POSNER, JONATHAN E, WEISSMAN, MYRNA M · 1985 to 2020
$15.0M
Spatial dysregulation of the lipidome in Alzheimers disease human and mouse brainR01AG078800 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Laura Beth Johnson McIntire, Vilas Menon · 2022 to 2026
$3.3M
Acyl chain remodeling and regional lipid dysregulation in Alzheimer's diseaseR01AG072794 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI MCINTIRE, LAURA BETH JOHNSON · 2021 to 2025
$1.6M
Hippocampal and Genetic Mechanisms Underlying Development of Depression in Children at High Family RiskR00MH129611 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Milenna Tamara van Dijk · 2024 to 2026
$747k
NIA NIH HHS R01 AG072794NIA NIH HHS R01 AG078800NIMH NIH HHS R00 MH129611NIMH NIH HHS R01 MH036197
6 · The paper itself

Abstract

Family history (FH) of major depression is a well-replicated risk factor for developing the disorder. Studying individuals who may be at high familial risk but are symptom free may allow us to better distinguish mechanisms predisposing individuals to depression from mechanisms that arise from having the disorder. Neuroimaging studies using such high-risk designs have suggested several cortical and subcortical regions that may contribute to depression susceptibility; however, specificity, timing of mechanisms, and long-term clinical implications remain unclear. As developing de novo cohorts to address these questions would be resource intensive, we sought to identify existing longitudinal cohorts that could be used to examine the effects of FH on brain imaging outcomes rigorously and cost-effectively, to determine the way FH was assessed in these cohorts, and to summarize their major findings published to date. A structured PubMed search identified 25 longitudinal cohorts (13 countries), each containing ≥1000 participants, direct- or informant-based FH, psychiatric measures, and ≥1 magnetic resonance imaging collection. Across publications from these cohorts, subcortical (particularly striatum, amygdala) and cortical (anterior cingulate, prefrontal) regions most frequently showed alterations in association with familial risk. However, current evidence for whether these regions predict psychopathology is limited, and the question should be examined in future studies as offspring in these cohorts age. This comprehensive review should also serve as a resource for further analyses of existing data from cohorts with FH and neuroimaging data in the context of depression and other disorders.

Indexed as

BrainMajor Depressive DisorderCohort StudiesGenetic Predisposition to DiseaseHumansMagnetic Resonance ImagingCohortDepressionFamily historyLongitudinalMRIPutamen

Identifiers

PMID41547389
PMCPMC13254834

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.