Evidence map›Paper›PMID 28622625›Full record

ArticleDrug and alcohol dependence2017

Cigarette smoking is associated with amplified age-related volume loss in subcortical brain regions.

Timothy C Durazzo, Dieter J Meyerhoff, Karmen K Yoder, Donna E Murray

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.9field-weighted citation impact, top 6% 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, 48 citations in OpenAlex.

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  10. Associations Between the Wisconsin Inventory of Smoking Dependence Motives and Regional Brain Volumes in Adult Smokers.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Article
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  14. Review
  15. Heritability of Subcortical Grey Matter Structures.Medicina (Kaunas, Lithuania) · 2022
    Article
  16. Article
  17. Observational
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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 3 institutions in 1 country.

Timothy C DurazzoDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, United States; Mental Illness Research and Education Clinical Centers and Sierra-Pacific War Related Illness and Injury Study Center, VA Palo Alto Health Care System, United States. Electronic address: tdurazzo@stanford.edu.
Dieter J MeyerhoffDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, United States; Center for Imaging of Neurodegenerative Diseases, San Francisco VA Medical Center, United States.
Karmen K YoderIndiana University Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, United States.
Donna E MurrayDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, United States; Center for Imaging of Neurodegenerative Diseases, San Francisco VA Medical Center, United States.
University of California, San Francisco · USIndiana University School of MedicineMental Illness Research, Education and Clinical Centers · 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

backgroundMagnetic resonance imaging studies of cigarette smoking-related effects on human brain structure have primarily employed voxel-based morphometry, and the most consistently reported finding was smaller volumes or lower density in anterior frontal regions and the insula. Much less is known about the effects of smoking on subcortical regions. We compared smokers and non-smokers on regional subcortical volumes, and predicted that smokers demonstrate greater age-related volume loss across subcortical regions than non-smokers.

methodsNon-smokers (n=43) and smokers (n=40), 22-70 years of age, completed a 4T MRI study. Bilateral total subcortical lobar white matter (WM) and subcortical nuclei volumes were quantitated via FreeSurfer. In smokers, associations between smoking severity measures and subcortical volumes were examined.

resultsSmokers demonstrated greater age-related volume loss than non-smokers in the bilateral subcortical lobar WM, thalamus, and cerebellar cortex, as well as in the corpus callosum and subdivisions. In smokers, higher pack-years were associated with smaller volumes of the bilateral amygdala, nucleus accumbens, total corpus callosum and subcortical WM.

conclusionsResults provide novel evidence that chronic smoking in adults is associated with accelerated age-related volume loss in subcortical WM and GM nuclei. Greater cigarette quantity/exposure was related to smaller volumes in regions that also showed greater age-related volume loss in smokers. Findings suggest smoking adversely affected the structural integrity of subcortical brain regions with increasing age and exposure. The greater age-related volume loss in smokers may have implications for cortical-subcortical structural and/or functional connectivity, and response to available smoking cessation interventions.

Indexed as

AdultAgedAge FactorsAmygdalaBrainCerebral CortexCigarette SmokingCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedOrgan SizePrefrontal CortexThalamusBrain volumeCigarette smokingFreeSurferMagnetic resonance imagingSubcorticalWhite matter

Identifiers

PMID28622625
PMCPMC6602081
OpenAlexW2622274120

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.