Evidence map›Paper›PMID 31477459›Full record

ReviewThe American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry2019

Disruption of Neural Homeostasis as a Model of Relapse and Recurrence in Late-Life Depression.

Carmen Andreescu, Olusola Ajilore, Howard J Aizenstein, Kimberly Albert, Meryl A Butters, Bennett A Landman, Helmet T Karim, Robert Krafty, Warren D Taylor

Abstract readReview
In one paragraph

Review in The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. 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
  2. Trial
  3. Preliminary Evidence That Cortical Amyloid Burden Predicts Poor Response to Antidepressant Medication Treatment in Cognitively Intact Individuals With Late-Life Depression.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2021
    Trial
  4. Article
  5. Article
  6. Review
  7. 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
  8. Hippocampal Total, Subregion, and Subfield Volume Alterations in Late-Life Depression.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026
    Article
  9. Article
  10. Prolonged grief disorder in later life: advancing our understanding of biopsychosocial mechanisms to guide future personalized interventions.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  11. Remission is insufficient: predictors and mechanistic models of recurrence in late-life depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  12. Review
  13. Article
  14. Article
  15. Network homeostasis: functional brain network alterations and relapse in remitted late-life depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025
    Article
  16. Article
  17. 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
  18. Review
  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

5 · Who and what money

Authors and funding

9 authors.

Carmen AndreescuDepartment of Psychiatry (CA, HJA, MAB, HTK), University of Pittsburgh, Pittsburgh, PA.
Olusola AjiloreDepartment of Psychiatry (OA), University of Illinois, Chicago, IL.
Howard J AizensteinDepartment of Psychiatry (CA, HJA, MAB, HTK), University of Pittsburgh, Pittsburgh, PA; Department of Bioengineering (HJA), University of Pittsburgh, Pittsburgh, PA.
Kimberly AlbertDepartment of Psychiatry and Behavioral Sciences (KA, WDT), The Center for Cognitive Medicine, Vanderbilt University Medical Center, Nashville, TN.
Meryl A ButtersDepartment of Psychiatry (CA, HJA, MAB, HTK), University of Pittsburgh, Pittsburgh, PA.
Bennett A LandmanDepartments of Computer Science, Electrical Engineering, and Biomedical Engineering (BAL), Vanderbilt University, TN; Department of Radiology and Radiological Sciences (BAL), Vanderbilt University Medical Center, Nashville, TN.
Helmet T KarimDepartment of Psychiatry (CA, HJA, MAB, HTK), University of Pittsburgh, Pittsburgh, PA.
Robert KraftyDepartment of Biostatistics (RK), University of Pittsburgh, Pittsburgh, PA.
Warren D TaylorDepartment of Psychiatry and Behavioral Sciences (KA, WDT), The Center for Cognitive Medicine, Vanderbilt University Medical Center, Nashville, TN; Department of Veterans Affairs Medical Center (WDT), Geriatric Research, Education and Clinical Center, Tennessee Valley Healthcare System, Nashville, TN. Electronic address: warren.d.taylor@vanderbilt.edu.

Funding

The RAW Brain - The Effect of Rumination, Anxiety and Worry on Aging and Dementia RiskR01MH108509 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Carmen Andreescu · 2016 to 2026
$10.6M
Pharmacologic MRI Predictors of Treatment Response in Late-Life DepressionR01MH076079 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AIZENSTEIN, HOWARD J, ANDREESCU, CARMEN · 2006 to 2022
$7.1M
Research Project: Sensory and Multisensory Contributions to AutismU54HD083211 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI NEUL, JEFFREY L · 2015 to 2019
$7.1M
1/3-Recurrence Markers, Cognitive Burden and Neurobiological Homeostasis in Late-life Depression (Rembrandt)R01MH121620 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI TAYLOR, WARREN D · 2020 to 2024
$5.3M
Recurrence markers, cognitive burden and neurobiological homeostasis in latelife depression (REMBRANDT) - SupplementR01MH121619 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ANDREESCU, CARMEN · 2020 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
3/3-Recurrence markers, cognitive burden and neurobiological homeostasis in late-life depressionR01MH121384 · NIMH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI AJILORE, OLUSOLA A. · 2020 to 2024
$3.0M
A Statistical Framework for the Spectral Analysis of High-Dimensional Physiological Time Series SignalsR01GM113243 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KRAFTY, ROBERT T · 2014 to 2020
$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
NICHD NIH HHS U54 HD083211NIGMS NIH HHS R01 GM113243NIMH NIH HHS K24 MH110598NIMH NIH HHS R01 MH076079NIMH NIH HHS R01 MH102246NIMH NIH HHS R01 MH108509NIMH NIH HHS R01 MH121384NIMH NIH HHS R01 MH121619NIMH NIH HHS R01 MH121620
6 · The paper itself

Abstract

The significant public health burden associated with late-life depression (LLD) is magnified by the high rates of recurrence. In this manuscript, we review what is known about recurrence risk factors, conceptualize recurrence within a model of homeostatic disequilibrium, and discuss the potential significance and challenges of new research into LLD recurrence. The proposed model is anchored in the allostatic load theory of stress. We review the allostatic response characterized by neural changes in network function and connectivity and physiologic changes in the hypothalamic-pituitary-adrenal axis, autonomic nervous system, immune system, and circadian rhythm. We discuss the role of neural networks' instability following treatment response as a source of downstream disequilibrium, triggering and/or amplifying abnormal stress response, cognitive dysfunction and behavioral changes, ultimately precipitating a full-blown recurrent episode of depression. We propose strategies to identify and capture early change points that signal recurrence risk through mobile technology to collect ecologically measured symptoms, accompanied by automated algorithms that monitor for state shifts (persistent worsening) and variance shifts (increased variability) relative to a patient's baseline. Identifying such change points in relevant sensor data could potentially provide an automated tool that could alert clinicians to at-risk individuals or relevant symptom changes even in a large practice.

Indexed as

AllostasisAgedAutonomic Nervous SystemBrainCircadian RhythmCognitive DysfunctionHomeostasisHumansHypothalamo-Hypophyseal SystemMajor Depressive DisorderModels, NeurologicalModels, PsychologicalNeural PathwaysPituitary-Adrenal SystemRecurrenceStress, Psychologicalagingallostatic loadcognitiondefault mode networkDepressiondepressive disorderexecutive control networkgeriatrichomeostasisrecurrencerelapseremissionremittedreviewrisk factorsstress

Identifiers

PMID31477459
PMCPMC6842700

What OpenQuestion holds

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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.