Evidence map›Paper›PMID 33992530›Full record

ReviewSeminars in cell & developmental biology2021

Brain-based mechanisms of late-life depression: Implications for novel interventions.

Faith M Gunning, Lauren E Oberlin, Maddy Schier, Lindsay W Victoria

Open access · greenAbstract readReview
In one paragraph

Review in Seminars in cell & developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 9% 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Brain Activation Associated With Response to Psychotherapies for Late-Life Depression: A Task-Based fMRI Study.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2025
    Trial
  4. Trial
  5. Observational
  6. Article
  7. Article
  8. Psychotherapy for older adults with depression: a narrative review.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  9. Review
  10. Article
  11. Review
  12. Network homeostasis: functional brain network alterations and relapse in remitted late-life depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025
    Article
  13. Article
  14. Article
  15. Review
  16. Observational
  17. Review
  18. White Noise-Is Anxiety in Late-Life Associated With White Matter Hyperintensity Burden?The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2024
    Article
  19. 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

4 authors at 2 institutions in 1 country.

Faith M GunningDepartment of Psychiatry, Weill Cornell Medicine, New York, NY 10065, USA. Electronic address: fgd2002@med.cornell.edu.
Lauren E OberlinDepartment of Psychiatry, Weill Cornell Medicine, New York, NY 10065, USA.
Maddy SchierDepartment of Psychiatry, Weill Cornell Medicine, New York, NY 10065, USA.
Lindsay W VictoriaDepartment of Psychiatry, Weill Cornell Medicine, New York, NY 10065, USA. Electronic address: liv3002@med.cornell.edu.
Weill Cornell Medicine · USCornell University · US

Funding

Efficacy of biomarker-guided rTMS for treatment resistant depressionR01MH118388 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI BHATI, MAHENDRA T, GUNNING, FAITH M · 2019 to 2025
$6.2M
RESEARCH TRAINING IN GERIATRIC MOOD DISORDERST32MH019132 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI GUNNING, FAITH M · 1990 to 2025
$3.4M
Prediction Error and Affective Salience Abnormalities in Aging and Late-Life DepressionK01MH118480 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI VICTORIA, LINDSAY · 2020 to 2024
$885k
NIMH NIH HHS K01 MH118480NIMH NIH HHS R01 MH118388NIMH NIH HHS T32 MH019132
6 · The paper itself

Abstract

Late-life depression (LLD) is a particularly debilitating illness. Older adults suffering from depression commonly experience poor outcomes in response to antidepressant treatments, medical comorbidities, and declines in daily functioning. This review aims to further our understanding of the brain network dysfunctions underlying LLD that contribute to disrupted cognitive and affective processes and corresponding clinical manifestations. We provide an overview of a network model of LLD that integrates the salience network, the default mode network (DMN) and the executive control network (ECN). We discuss the brain-based structural and functional mechanisms of LLD with an emphasis on their link to clinical subtypes that often fail to respond to available treatments. Understanding the brain networks that underlie these disrupted processes can inform the development of targeted interventions for LLD. We propose behavioral, cognitive, or computational approaches to identifying novel, personalized interventions that may more effectively target the key cognitive and affective symptoms of LLD.

Indexed as

AgingBrainDepressionHumansAgingApathyDepressionExecutive functionFunctional connectivityWhite matter

Identifiers

PMID33992530
PMCPMC8548387
OpenAlexW3160396946

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.