Evidence map›Paper›PMID 33629726›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2021

Accelerated Aging of the Amygdala in Alcohol Use Disorders: Relevance to the Dark Side of Addiction.

Dardo Tomasi, Corinde E Wiers, Peter Manza, Ehsan Shokri-Kojori, Yonga Michele-Vera, Rui Zhang, Danielle Kroll, Dana Feldman, Katherine McPherson, Catherine Biesecker and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Accelerated brain aging in alcohol users: Insights from machine learning.Alcohol, clinical & experimental research · 2025
    Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Machine Learning of Functional Connectivity to Biotype Alcohol and Nicotine Use Disorders.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2024
    Article
  14. Article
  15. Review
  16. Article
  17. High-Risk Drinkers Engage Distinct Stress-Predictive Brain Networks.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2022
    Article
  18. 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

15 authors at 2 institutions in 1 country.

Dardo TomasiNational Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA.
Corinde E WiersNational Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA.
Peter ManzaNational Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA.
Ehsan Shokri-KojoriNational Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA.
Yonga Michele-VeraNational Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA.
Rui ZhangNational Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA.
Danielle KrollNational Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA.
Dana FeldmanNational Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA.
Katherine McPhersonNational Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA.
Catherine BieseckerNational Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA.
Melanie SchwandtNational Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA.
Nancy DiazgranadosNational Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA.
George F KoobNational Institute on Drug Abuse, Bethesda, MD 21224, USA.
Gene-Jack WangNational Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA.
Nora D VolkowNational Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA.
National Institute on Alcohol Abuse and Alcoholism · USNational Institute on Drug Abuse · US

Funding

Neurobiology of Substance Abuse and AddictionZIAAA000550 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI VOLKOW, NORA D. · 2009 to 2025
$115.1M
NIAAA Repository/Screening Database Management and ResearchZIAAA000130 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI SCHWANDT, MELANIE · 2017 to 2025
$60.1M
Ketone ester intervention in alcohol use disorderR00AA026892 · NIAAA · UNIVERSITY OF PENNSYLVANIA · PI WIERS, CORINDE E · 2020 to 2022
$747k
NIAAA NIH HHS R00 AA026892
6 · The paper itself

Abstract

Here we assessed changes in subcortical volumes in alcohol use disorder (AUD). A simple morphometry-based classifier (MC) was developed to identify subcortical volumes that distinguished 32 healthy controls (HCs) from 33 AUD patients, who were scanned twice, during early and later withdrawal, to assess the effect of abstinence on MC-features (Discovery cohort). We validated the novel classifier in an independent Validation cohort (19 AUD patients and 20 HCs). MC-accuracy reached 80% (Discovery) and 72% (Validation). MC features included the hippocampus, amygdala, cerebellum, putamen, corpus callosum, and brain stem, which were smaller and showed stronger age-related decreases in AUD than HCs, and the ventricles and cerebrospinal fluid, which were larger in AUD and older participants. The volume of the amygdala showed a positive association with anxiety and negative urgency in AUD. Repeated imaging during the third week of detoxification revealed slightly larger subcortical volumes in AUD patients, consistent with partial recovery during abstinence. The steeper age-associated volumetric reductions in stress- and reward-related subcortical regions in AUD are consistent with accelerated aging, whereas the amygdalar associations with negative urgency and anxiety in AUD patients support its involvement in the "dark side of addiction".

Indexed as

AdultAgingAlcoholismAmygdalaBehavior, AddictiveFemaleHumansMachine LearningMagnetic Resonance ImagingMaleMiddle AgedNeuropsychological Testsagealcoholismmorphometryrewardstresswithdrawal

Identifiers

PMID33629726
PMCPMC8196255
OpenAlexW3130873461

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.