Evidence map›Paper›PMID 41067648›Full record

ArticleJournal of affective disorders2026

Differences in white matter structural networks in family risk of major depressive disorder and suicidality: A connectome analysis.

Nora Clancy Kelsall, Yun Wang, Marc J Gameroff, Jiook Cha, Jonathan Posner, Ardesheer Talati, Myrna M Weissman, Milenna Tamara van Dijk

Abstract read
In one paragraph

Article in Journal of affective disorders, 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

5 · Who and what money

Authors and funding

8 authors.

Nora Clancy KelsallDivision of Translational Epidemiology and Mental Health Equity, New York State Psychiatric Institute, New York, NY, USA; Mailman School of Public Health, Columbia University, New York, NY, USA.
Yun WangDepartment of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA, USA.
Marc J GameroffDepartment of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University New York, New York, USA; Division of Translational Epidemiology and Mental Health Equity, New York State Psychiatric Institute, New York, NY, USA.
Jiook ChaDepartment of Psychology, Seoul National University, South Korea.
Jonathan PosnerDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
Ardesheer TalatiDepartment of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University New York, New York, USA; Division of Translational Epidemiology and Mental Health Equity, New York State Psychiatric Institute, New York, NY, USA.
Myrna M WeissmanDepartment of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University New York, New York, USA; Division of Translational Epidemiology and Mental Health Equity, New York State Psychiatric Institute, New York, NY, USA; Mailman School of Public Health, Columbia University, New York, NY, USA.
Milenna Tamara van DijkDepartment of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University New York, New York, USA; Division of Translational Epidemiology and Mental Health Equity, New York State Psychiatric Institute, New York, NY, USA. Electronic address: milenna.vandijk@nyspi.columbia.edu.

Funding

RESEARCH TRAINING PROGRAM IN PSYCHIATRIC EPIDEMIOLOGYT32MH013043 · NIMH · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Katherine M. Keyes · 1985 to 2026
$11.7M
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
NIMH NIH HHS R00 MH129611NIMH NIH HHS T32 MH013043
6 · The paper itself

Abstract

Depression and suicide are leading global causes of disability and death and are highly familial. Family and individual history of depression and suicide are associated with neurobiological differences including decreased white matter connectivity. However, this has been shown for individual regions, not considering that changes in connectivity may reverberate throughout the brain network. Furthermore, suicide and depression are correlated, but distinct psychological constructs. We use graph theory models to account for the network structure of the brain with high levels of specialization and integration and examine whether they differ by family history of depression or of suicidality within a three-generation longitudinal family study with well-characterized clinical histories. Clinician interviews across three generations were used to classify family risk of depression and suicidality. Then, we created weighted network models using 108 cortical and subcortical regions of interest for 96 individuals using diffusion tensor imaging derived fiber tracts. Global and local summary measures (clustering coefficient, characteristic path length, and global and local efficiencies) and network-based statistics were utilized for group comparison of family history of depression and, separately, of suicidality, adjusted for personal psychopathology. Clustering coefficient and local efficiency were associated with concurrent clinical symptoms. Network-based statistics showed hypoconnected cortical-subcortical subnetworks in individuals with high family risk of depression (including prefrontal and putamen regions) and of suicidality (prefrontal, thalamus and precuneus), after controlling for personal psychopathology. Family history of depression and of suicidality are associated with hypoconnectivity between subcortical and cortical regions, suggesting brain-wide impaired information processing, even in those personally unaffected.

Indexed as

BrainConnectomeMajor Depressive DisorderSuicideWhite MatterAdultDiffusion Tensor ImagingFemaleHumansLongitudinal StudiesMaleMiddle AgedNerve NetNeural PathwaysRisk FactorsYoung AdultDepressionDiffusion tensor imagingFamily historyGraph theoryNetwork-based statisticsSuicidality

Identifiers

PMID41067648
PMCPMC12885123

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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.