Evidence map›Paper›PMID 33495545›Full record

ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2021

Accelerated brain aging predicts impulsivity and symptom severity in depression.

Katharine Dunlop, Lindsay W Victoria, Jonathan Downar, Faith M Gunning, Conor Liston

Open access · hybridAbstract read
In one paragraph

Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. BrainAGE, brain health, and mental disorders: A systematic review.Neuroscience and biobehavioral reviews · 2024
    Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. The Brain Age Gap as a Predictor of Alcohol Initiation in Adolescence.bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Atypical Brain Aging and Its Association With Working Memory Performance in Major Depressive Disorder.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2024
    Article
  18. Article
  19. The Role of Puberty and Sex on Brain Structure in Adolescents With Anxiety Following Concussion.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2024
    Article
  20. 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
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

5 authors at 2 institutions in 2 countries.

Katharine DunlopDepartment of Psychiatry, Weill Cornell Medicine, New York, NY, USA. kad2032@med.cornell.edu.ORCID http://orcid.org/0000-0003-4366-7692
Lindsay W VictoriaDepartment of Psychiatry, Weill Cornell Medicine, New York, NY, USA.
Jonathan DownarDepartment of Psychiatry and Krembil Research Institute, University Health Network, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-5140-174X
Faith M GunningDepartment of Psychiatry, Weill Cornell Medicine, New York, NY, USA. fgd2002@med.cornell.edu.ORCID http://orcid.org/0000-0003-1854-9969
Conor ListonDepartment of Psychiatry, Weill Cornell Medicine, New York, NY, USA. col2004@med.cornell.edu.
Cornell University · USUniversity Health Network · CA

Funding

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
CIHRNIMH NIH HHS K01 MH118480
6 · The paper itself

Abstract

Multiple structural and functional neuroimaging measures vary over the course of the lifespan and can be used to predict chronological age. Accelerated brain aging, as quantified by deviations in the MRI-based predicted age with respect to chronological age, is associated with risk for neurodegenerative conditions, bipolar disorder, and mortality. Whether age-related changes in resting-state functional connectivity are accelerated in major depressive disorder (MDD) is unknown, and, if so, it is unclear if these changes contribute to specific cognitive weaknesses that often occur in MDD. Here, we delineated age-related functional connectivity changes in a large sample of normal control subjects and tested whether brain aging is accelerated in MDD. Furthermore, we tested whether accelerated brain aging predicts individual differences in cognitive function. We trained a support vector regression model predicting age using resting-state functional connectivity in 710 healthy adults aged 18-89. We applied this model trained on normal aging subjects to a sample of actively depressed MDD participants (n = 109). The difference between predicted brain age and chronological age was 2.11 years greater (p = 0.015) in MDD patients compared to control participants. An older MDD brain age was significantly associated with increased impulsivity and, in males, increased depressive severity. Unexpectedly, accelerated brain aging was also associated with increased placebo response in a sham-controlled trial of high-frequency repetitive transcranial magnetic stimulation targeting the dorsomedial prefrontal cortex. Our results indicate that MDD is associated with accelerated brain aging, and that accelerated aging is selectively associated with greater impulsivity and depression severity.

Indexed as

Major Depressive DisorderAdultAgingBrainChild, PreschoolDepressionHumansImpulsive BehaviorMagnetic Resonance ImagingMale

Identifiers

PMID33495545
PMCPMC8115107
OpenAlexW3122153357

What OpenQuestion holds

Textmetadata
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.