Evidence map›Paper›PMID 39029692›Full record

ArticleJournal of affective disorders2024

Subcortical volumes in offspring with a multigenerational family history of depression - A study across two cohorts.

Milenna T van Dijk, Alexandria N Tartt, Eleanor Murphy, Marc J Gameroff, David Semanek, Jiook Cha, Myrna M Weissman, Jonathan Posner, Ardesheer Talati

Abstract read
In one paragraph

Article in Journal of affective disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

9 authors.

Milenna T van DijkDepartment of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States of America; Division of Translational Epidemiology and Mental Health Equity, New York State Psychiatric Institute, New York, NY, United States of America. Electronic address: milenna.vandijk@nyspi.columbia.edu.
Alexandria N TarttStanford University School of Medicine, Stanford, CA, United States of America.
Eleanor MurphyDepartment of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States of America; Division of Translational Epidemiology and Mental Health Equity, New York State Psychiatric Institute, New York, NY, United States of America.
Marc J GameroffDepartment of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States of America; Division of Translational Epidemiology and Mental Health Equity, New York State Psychiatric Institute, New York, NY, United States of America.
David SemanekMRI Research Program, New York State Psychiatric Institute, New York, NY, United States of America.
Jiook ChaDepartment of Psychology, Seoul National University, Seoul, Republic of Korea.
Myrna M WeissmanDepartment of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States of America; Division of Translational Epidemiology and Mental Health Equity, New York State Psychiatric Institute, New York, NY, United States of America; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States of America.
Jonathan PosnerDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, United States of America.
Ardesheer TalatiDepartment of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States of America; Division of Translational Epidemiology and Mental Health Equity, New York State Psychiatric Institute, New York, NY, United States of America; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States of America.

Funding

ABCD-USA Consortium: Coordinating CenterU24DA041147 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SANDRA A BROWN, TERRY L. JERNIGAN · 2015 to 2026
$54.7M
ABCD-USA Consortium: Data Analysis, Informatics and Resource CenterU24DA041123 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE · 2015 to 2026
$51.5M
Adolescent Substance Use Initiation: Disentangling neurocognitive risks from consequences using longitudinal and genetically-informed methodsU01DA041120 · NIDA · UNIVERSITY OF MINNESOTA · PI Monica Luciana, Sylia Wilson · 2015 to 2026
$34.5M
ABCD-USA Consortium: Research ProjectU01DA041089 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Joanna Jacobus, Susan F. Tapert · 2015 to 2026
$31.7M
Prospective Research Studies of Maturation (PRISM)- Research ProjectU01DA041134 · NIDA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI ERIN MCGLADE, PERRY FRANKLIN RENSHAW · 2015 to 2026
$29.2M
ABCD-USA CONSORTIUM: RESEARCH PROJECTU01DA041048 · NIDA · CHILDREN'S HOSPITAL OF LOS ANGELES · PI Megan Marie Herting, ELIZABETH R SOWELL · 2015 to 2026
$28.7M
ABCD-USA Consortium: Research ProjectU01DA041106 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mary M Heitzeg, Chandra Sekhar Sripada · 2015 to 2026
$24.9M
FIU-ABCD: Pathways and Mechanisms to Addiction in the Latino Youth of South FloridaU01DA041156 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI Raul Gonzalez, Angela R Laird · 2015 to 2026
$22.8M
ABCD-USA Consortium: Research ProjectU01DA041148 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Damien A Fair, Rebekah S Huber · 2015 to 2026
$22.3M
ABCD-USA: NYC Research ProjectU01DA041174 · NIDA · YALE UNIVERSITY · PI Arielle Ryan Baskin-Sommers, Betty J Casey · 2015 to 2026
$19.7M
Adolescent Brain Cognitive Development (ABCD) Prospective Research in Studies of Maturation (PRISM) ConsortiumU01DA041117 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI LINDA CHANG, THOMAS M ERNST · 2015 to 2026
$19.5M
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
NIDA NIH HHS U01 DA041022NIDA NIH HHS U01 DA041025NIDA NIH HHS U01 DA041028NIDA NIH HHS U01 DA041048NIDA NIH HHS U01 DA041089NIDA NIH HHS U01 DA041093NIDA NIH HHS U01 DA041106NIDA NIH HHS U01 DA041117NIDA NIH HHS U01 DA041120NIDA NIH HHS U01 DA041134NIDA NIH HHS U01 DA041148NIDA NIH HHS U01 DA041156NIDA NIH HHS U01 DA041174NIDA NIH HHS U01 DA050987NIDA NIH HHS U01 DA050988NIDA NIH HHS U01 DA050989NIDA NIH HHS U01 DA051016NIDA NIH HHS U01 DA051018NIDA NIH HHS U01 DA051037NIDA NIH HHS U01 DA051038NIDA NIH HHS U01 DA051039NIDA NIH HHS U24 DA041123NIDA NIH HHS U24 DA041147NIMH NIH HHS K99 MH129611NIMH NIH HHS R01 MH036197
6 · The paper itself

Abstract

backgroundHaving multiple previous generations with depression in the family increases offspring risk for psychopathology. Parental depression has been associated with smaller subcortical brain volumes in their children, but whether two prior generations with depression is associated with further decreases is unclear.

methodsUsing two independent cohorts, 1) a Three-Generation Study (TGS, N = 65) with direct clinical interviews of adults and children across all three generations, and 2) the Adolescent Brain Cognitive Development Study (ABCD, N = 10,626) of 9-10 year-old children with family history assessed by a caregiver, we tested whether having more generations of depression in the family was associated with smaller subcortical volumes (using structural MRI).

resultsIn TGS, caudate, pallidum and putamen showed decreasing volumes with higher familial risk for depression. Having a parent and a grandparent with depression was associated with decreased volume compared to having no familial depression in these regions. Putamen volume was associated with depression at eight-year follow-up. In ABCD, smaller pallidum and putamen were associated with family history, which was driven by parental depression, regardless of grandparental depression. LIMITATIONS: Discrepancies between cohorts could be due to interview type (clinical or self-report) and informant (individual or common informant), sample size or age. Future analyses of follow-up ABCD waves will be able to assess whether effects of grandparental depression on brain markers become more apparent as the children enter young adulthood.

conclusionsBasal ganglia regional volumes are significantly smaller in offspring with a family history of depression in two independent cohorts.

Indexed as

Magnetic Resonance ImagingPutamenAdolescentAdultCaudate NucleusChildCohort StudiesDepressionDepressive DisorderExtended FamilyFemaleGlobus PallidusGrandparentsHumansMaleOrgan SizeABCD studyFamilial depressionStructural MRISubcortical volumeThree generations

Identifiers

PMID39029692
PMCPMC11420999

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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.