Evidence map›Paper›PMID 34949526›Full record

Trial reportThe American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry2022

Structural MRI-Based Measures of Accelerated Brain Aging do not Moderate the Acute Antidepressant Response in Late-Life Depression.

Ryan Ahmed, Claire Ryan, Seth Christman, Damian Elson, Camilo Bermudez, Bennett A Landman, Sarah M Szymkowicz, Brian D Boyd, Hakmook Kang, Warren D Taylor

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Moderators of treatment response in late-life depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  3. Brain Age Is Not a Significant Predictor of Relapse Risk in Late-Life Depression.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025
    Article
  4. Geroscience-Centric Perspective for Geriatric Psychiatry: Integrating Aging Biology With Geriatric Mental Health Research.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2024
    Review
  5. Article
  6. Cognitive, Disability, and Treatment Outcome Implications of Symptom-Based Phenotyping in Late-Life Depression.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2023
    Article
  7. Review
  8. Review
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

10 authors at 1 institution in 1 country.

Ryan AhmedSchool of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN.
Claire RyanSchool of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN.
Seth ChristmanSchool of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN.
Damian ElsonSchool of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN.
Camilo BermudezSchool of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN.
Bennett A LandmanSchool of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN.
Sarah M SzymkowiczSchool of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN.
Brian D BoydSchool of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN.
Hakmook KangSchool of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN.
Warren D TaylorSchool of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN. Electronic address: warren.d.taylor@vanderbilt.edu.
Vanderbilt University · 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
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007347 · NIGMS · VANDERBILT UNIVERSITY · PI WILLIAMS, CHRISTOPHER S. · 1985 to 2023
$26.3M
Medical Scientist Training ProgramT32GM152284 · NIGMS · VANDERBILT UNIVERSITY · PI Christopher S. Williams · 2024 to 2026
$4.8M
Neural Connectivity Affecting the Antidepressant Response: Testing a Lesion ModelR01MH102246 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI TAYLOR, WARREN D · 2015 to 2019
$3.1M
Replacement and Upgrade of a 3T MR Scanner for ResearchS10OD021771 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C · 2016 to 2016
$2.0M
Mentoring and Research on Neurobiological Markers of Clinical Outcomes in DepressionK24MH110598 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI TAYLOR, WARREN D · 2016 to 2019
$637k
NCATS NIH HHS UL1 TR000445NCATS NIH HHS UL1 TR002243NIGMS NIH HHS T32 GM007347NIGMS NIH HHS T32 GM152284NIH HHS S10 OD021771NIMH NIH HHS K24 MH110598NIMH NIH HHS R01 MH102246
6 · The paper itself

Abstract

objectiveLate-life depression (LLD) is characterized by accelerated biological aging. Accelerated brain aging, estimated from structural magnetic resonance imaging (sMRI) data by a machine learning algorithm, is associated with LLD diagnosis, poorer cognitive performance, and disability. We hypothesized that accelerated brain aging moderates the antidepressant response. DESIGN AND

interventionsFollowing MRI, participants entered an 8-week randomized, controlled trial of escitalopram. Nonremitting participants then entered an open-label 8-week trial of bupropion.

participantsNinety-five individuals with LLD. MEASUREMENTS: A machine learning algorithm estimated each participant's brain age from sMRI data. This was used to calculate the brain-age gap (BAG), or how estimated age differed from chronological age. Secondary sMRI measures of aging pathology included white matter hyperintensity (WMH) volumes and hippocampal volumes. Mixed models examined the relationship between sMRI measures and change in depression severity. Initial analyses tested for a moderating effect of MRI measures on change in depression severity with escitalopram. Subsequent analyses tested for the effect of MRI measures on change in depression severity over time across trials.

resultsIn the blinded initial phase, BAG was not significantly associated with a differential response to escitalopram over time. BAG was also not associated with a change in depression severity over time across both arms in the blinded phase or in the subsequent open-label bupropion phase. We similarly did not observe effects of WMH volume or hippocampal volume on change in depression severity over time.

conclusionsMRI markers of accelerated brain aging were not associated with treatment response in this sequential antidepressant trial.

Indexed as

BupropionDepressionAgingAntidepressive AgentsBrainHumansMagnetic Resonance ImagingAntidepressive AgentsBupropionagingantidepressantclinical trialDepressionmachine learningMRIstructural neuroimaging

Identifiers

PMID34949526
PMCPMC9142760
OpenAlexW3217619984

What OpenQuestion holds

Textmetadata
LicenceTDM
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.