Evidence mapPaperPMID 38523701Full record

ArticleJournal of mood and anxiety disorders2024

Assessing depression recurrence, cognitive burden, and neurobiological homeostasis in late life: Design and rationale of the REMBRANDT Study.

Warren D Taylor, Olusola Ajilore, Helmet T Karim, Meryl A Butters, Robert Krafty, Brian D Boyd, Layla Banihashemi, Sarah M Szymkowicz, Claire Ryan, Jason Hassenstab and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of mood and anxiety disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Longitudinal Changes in White Matter Hypointensities in Recurrent Late-Life Depression.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2026
    Article
  2. Pharmacotherapy of major depressive disorder in older adults: from an evidence-informed stepwise algorithm to precision medicine.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  3. Remission is insufficient: predictors and mechanistic models of recurrence in late-life depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  4. Network homeostasis: functional brain network alterations and relapse in remitted late-life depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025
    Article
  5. Article
  6. Brain and cardiovascular responses to acute stress in remitted and recurrent late-life depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025
    Article
  7. Article
  8. Article
  9. Brain Age Is Not a Significant Predictor of Relapse Risk in Late-Life Depression.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025
    Article
  10. 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

12 authors at 7 institutions in 1 country.

Warren D TaylorCenter for Cognitive Medicine, Department of Psychiatry and Behavioral Science, Vanderbilt University Medical Center, Nashville, TN.
Olusola AjiloreDepartment of Psychiatry, University of Illinois-Chicago, Chicago, IL.
Helmet T KarimDepartment of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, PA.
Meryl A ButtersDepartment of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, PA.
Robert KraftyDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, GA.
Brian D BoydCenter for Cognitive Medicine, Department of Psychiatry and Behavioral Science, Vanderbilt University Medical Center, Nashville, TN.
Layla BanihashemiDepartment of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, PA.
Sarah M SzymkowiczCenter for Cognitive Medicine, Department of Psychiatry and Behavioral Science, Vanderbilt University Medical Center, Nashville, TN.
Claire RyanCenter for Cognitive Medicine, Department of Psychiatry and Behavioral Science, Vanderbilt University Medical Center, Nashville, TN.
Jason HassenstabDepartments of Neurology and Psychiatry, Washington University in St. Louis, St. Louis, MO.
Bennett A LandmanDepartments of Computer Science, Electrical Engineering, and Biomedical Engineering, Vanderbilt University; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center.
Carmen AndreescuDepartment of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, PA.
University of Pittsburgh Medical Center · USVanderbilt University Medical Center · USEmory University · USUniversity of Illinois Chicago · USValley Health System · USVanderbilt University · USWashington University in St. Louis · US

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR002243 · VANDERBILT UNIVERSITY MEDICAL CENTER · 2025 to 2025
$10.7M
1/3-Recurrence Markers, Cognitive Burden and Neurobiological Homeostasis in Late-life Depression (Rembrandt)R01MH121620 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Patricia Serrano Andrews · 2022 to 2024
$2.8M
2/3: Recurrence markers, cognitive burden and neurobiological homeostasis in late-life depression (REMBRANDT)R01MH121619 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Carmen Andreescu · 2022 to 2024
$2.8M
3/3-Recurrence markers, cognitive burden and neurobiological homeostasis in late-life depressionR01MH121384 · NIMH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI Olusola A. Ajilore · 2022 to 2024
$1.7M
NCATS NIH HHS UL1 TR000445NCATS NIH HHS UL1 TR002243NIMH NIH HHS R01 MH121384NIMH NIH HHS R01 MH121619NIMH NIH HHS R01 MH121620
6 · The paper itself

Abstract

Background: Late-life depression is characterized by disability, cognitive impairment and decline, and a high risk of recurrence following remission. Aside from past psychiatric history, prognostic neurobiological and clinical factors influencing recurrence risk are unclear. Moreover, it is unclear if cognitive impairment predisposes to recurrence, or whether recurrent episodes may accelerate brain aging and cognitive decline. The purpose of the REMBRANDT study (Recurrence markers, cognitive burden, and neurobiological homeostasis in late-life depression) is to better elucidate these relationships and identify phenotypic, cognitive, environmental, and neurobiological factors contributing to and predictive of depression recurrence. Methods: Across three sites, REMBRANDT will enroll 300 depressed elders who will receive antidepressant treatment. The goal is to enroll 210 remitted depressed participants and 75 participants with no mental health history into a two-year longitudinal phase focusing on depression recurrence. Participants are evaluated every 2 months with deeper assessments occurring every 8 months, including structural and functional neuroimaging, environmental stress assessments, deep symptom phenotyping, and two weeks of 'burst' ecological momentary assessments to elucidate variability in symptoms and cognitive performance. A broad neuropsychological test battery is completed at the beginning and end of the longitudinal study. Significance: REMBRANDT will improve our understanding of how alterations in neural circuits and cognition that persist during remission contribute to depression recurrence vulnerability. It will also elucidate how these processes may contribute to cognitive impairment and decline. This project will obtain deep phenotypic data that will help identify vulnerability and resilience factors that can help stratify individual clinical risk.

Indexed as

agingcognitiondepressionlongitudinal designmethodsstudy design

Identifiers

PMID38523701
PMCPMC10959248
OpenAlexW4388335798

What Socratic 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 Socratic graph.