Evidence map›Paper›PMID 25170881›Full record

ArticleAddiction biology2015

Serial longitudinal magnetic resonance imaging data indicate non-linear regional gray matter volume recovery in abstinent alcohol-dependent individuals.

Timothy C Durazzo, Anderson Mon, Stefan Gazdzinski, Ping-Hong Yeh, Dieter J Meyerhoff

Open access · greenAbstract read
In one paragraph

Article in Addiction biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 4 pooled it
3.6field-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

48 citing papers in PubMed, 4 syntheses or guidelines pooled it, 68 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Imaging resilience and recovery in alcohol dependence.Addiction (Abingdon, England) · 2018
    Pooled it
  5. Trial
  6. Article
  7. Article
  8. Article
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  10. Article
  11. Article
  12. Article
  13. Alcohol Use Disorder and Dementia: A Review.Alcohol research : current reviews · 2024
    Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. The neurobiology of drug addiction: cross-species insights into the dysfunction and recovery of the prefrontal cortex.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    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 3 institutions in 1 country.

Timothy C DurazzoCenter for Imaging of Neurodegenerative Diseases (CIND), San Francisco VA Medical Center, San Francisco, CA, USA.
Anderson MonCenter for Imaging of Neurodegenerative Diseases (CIND), San Francisco VA Medical Center, San Francisco, CA, USA.
Stefan GazdzinskiCenter for Imaging of Neurodegenerative Diseases (CIND), San Francisco VA Medical Center, San Francisco, CA, USA.
Ping-Hong YehCenter for Imaging of Neurodegenerative Diseases (CIND), San Francisco VA Medical Center, San Francisco, CA, USA.
Dieter J MeyerhoffCenter for Imaging of Neurodegenerative Diseases (CIND), San Francisco VA Medical Center, San Francisco, CA, USA.
San Francisco VA Medical Center · USUniversity of California System · USUniversity of California, San Francisco · US

Funding

The Biological Basis of Alcohol Induced Brain DamageR01AA010788 · NIAAA · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI MEYERHOFF, DIETER J · 1996 to 2016
$8.9M
The Neurobiological and Neurocognitive Consequences of Chronic Cigarette SmokingK01DA024136 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DURAZZO, TIMOTHY CRAIG · 2008 to 2012
$785k
NIAAA NIH HHS R01 AA010788NIDA NIH HHS K01 DA024136
6 · The paper itself

Abstract

The trajectory of regional volume changes during the first year of sustained abstinence in those recovering from an alcohol use disorder is unclear because previous research typically employed only two assessment points. To better understand the trajectory of regional brain volume recovery in treatment-seeking alcohol-dependent individuals (ALC), regional brain volumes were measured after 1 week, 1 month and 7.5 months of sustained abstinence via magnetic resonance imaging at 1.5 T. ALC showed significant volume increases in frontal, parietal and occipital gray matter (GM) and white matter (WM), total cortical GM and total lobar WM, thalamus and cerebellum, and decreased ventricular volume over 7.5 months of abstinence. Volume increases in regional GM were significantly greater over 1 week to 1 month than from 1 month to 7.5 months of abstinence, indicating a non-linear rate of change in regional GM over 7.5 months. Overall, regional lobar WM showed linear volume increases over 7.5 months. With increasing age, smoking ALC showed lower frontal and total cortical GM volume recovery than non-smoking ALC. Despite significant volume increases, ALC showed smaller GM volumes in all regions, except the frontal cortex, than controls after 7.5 months of abstinence. ALC and controls showed no regional WM volume differences at any assessment point. In non-smoking ALC only, increasing regional GM and WM volumes were related to improving processing speed. Findings may indicate a differential rate of recovery of cell types/cellular components contributing to GM and WM volume during early abstinence, and that GM volume deficits persist after 7.5 months of sustained sobriety in this ALC cohort.

Indexed as

Alcohol AbstinenceMagnetic Resonance ImagingAlcohol-Related DisordersCohort StudiesCross-Sectional StudiesFemaleFollow-Up StudiesGray MatterHumansLongitudinal StudiesMaleMiddle AgedOrgan SizeSan FranciscoSmokingVeteransAlcohol use disordersbrain volumecigarette smokingcognitionrecovery

Identifiers

PMID25170881
PMCPMC4345147
OpenAlexW1607571382

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.