Evidence map›Paper›PMID 32948749›Full record

ArticleTranslational psychiatry2020

Accelerated brain aging predicts impaired cognitive performance and greater disability in geriatric but not midlife adult depression.

Seth Christman, Camilo Bermudez, Lingyan Hao, Bennett A Landman, Brian Boyd, Kimberly Albert, Neil Woodward, Sepideh Shokouhi, Jennifer Vega, Patricia Andrews and 1 more

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
10.7field-weighted citation impact, top 2% of its field
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

48 citing papers in PubMed, 82 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Structural MRI-Based Measures of Accelerated Brain Aging do not Moderate the Acute Antidepressant Response in Late-Life Depression.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2022
    Trial
  4. Article
  5. Article
  6. Article
  7. Hippocampal Total, Subregion, and Subfield Volume Alterations in Late-Life Depression.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026
    Article
  8. Article
  9. Article
  10. Premature aging in serious mental illness.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  11. Article
  12. Remission is insufficient: predictors and mechanistic models of recurrence in late-life depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  13. Human Brain Cell-Type-Specific Aging Clocks Based on Single-Nuclei Transcriptomics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  14. A Machine-Learning Approach Identifies Rejuvenating Interventions in the Human Brain.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Brain Age Is Not a Significant Predictor of Relapse Risk in Late-Life Depression.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025
    Article
  20. 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

11 authors at 3 institutions in 1 country.

Seth Christman *Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Camilo Bermudez *Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
Lingyan HaoDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
Bennett A LandmanDepartment of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Brian BoydDepartment of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Kimberly AlbertDepartment of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Neil WoodwardDepartment of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Sepideh ShokouhiDepartment of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Jennifer VegaDepartment of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Patricia AndrewsDepartment of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Warren D TaylorDepartment of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA. warren.d.taylor@vanderbilt.edu.ORCID http://orcid.org/0000-0002-9975-3082
Vanderbilt University Medical Center · USVanderbilt University · USValley Health System · US

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at VanderbiltP50HD103537 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Jeffrey L Neul · 2020 to 2026
$10.3M
Controlling Quality and Capturing Uncertainty in Advanced Diffusion Weighted MRIR01EB017230 · NIBIB · VANDERBILT UNIVERSITY · PI LANDMAN, BENNETT A. · 2015 to 2024
$5.1M
Neural Connectivity Affecting the Antidepressant Response: Testing a Lesion ModelR01MH102246 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI TAYLOR, WARREN D · 2015 to 2019
$3.1M
Genes and Alterations in Brain Structure and Function in DepressionR01MH077745 · NIMH · VANDERBILT UNIVERSITY · PI TAYLOR, WARREN D · 2008 to 2012
$2.6M
Mentoring and Research on Neurobiological Markers of Clinical Outcomes in DepressionK24MH110598 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI TAYLOR, WARREN D · 2016 to 2019
$637k
Network-Attached Biomedical Research Data Management SystemS10RR031634 · NCRR · VANDERBILT UNIVERSITY · PI SMITH, JARROD ANSON · 2011 to 2011
$600k
Frontal hypo perfusion effects on antidepressant outcomes in geriatric depressionR21MH099218 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI TAYLOR, WARREN D · 2013 to 2014
$429k
NCATS NIH HHS UL1 TR002243NCRR NIH HHS S10 RR031634NIBIB NIH HHS R01 EB017230NICHD NIH HHS P50 HD103537NIMH NIH HHS K24 MH110598NIMH NIH HHS R01 MH077745NIMH NIH HHS R01 MH102246NIMH NIH HHS R21 MH099218U.S. Department of Health & Human Services | NIH | National Center for Advancing Translational Sciences (NCATS) UL1Tr002243
6 · The paper itself

Abstract

Depression is associated with markers of accelerated aging, but it is unclear how this relationship changes across the lifespan. We examined whether a brain-based measure of accelerated aging differed between depressed and never-depressed subjects across the adult lifespan and whether it was related to cognitive performance and disability. We applied a machine-learning approach that estimated brain age from structural MRI data in two depressed cohorts, respectively 170 midlife adults and 154 older adults enrolled in studies with common entry criteria. Both cohorts completed broad cognitive batteries and the older subgroup completed a disability assessment. The machine-learning model estimated brain age from MRI data, which was compared to chronological age to determine the brain-age gap (BAG; estimated age-chronological age). BAG did not differ between midlife depressed and nondepressed adults. Older depressed adults exhibited significantly higher BAG than nondepressed elders (Wald χ

Indexed as

Cognitive DysfunctionDepressionAgedAgingBrainCognitionHumansNeuropsychological Tests

Identifiers

PMID32948749
PMCPMC7501280
OpenAlexW3087387202

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.