Cited by 49Smoking Behavior and CessationSubstance Abuse Treatment and OutcomesNicotinic Acetylcholine Receptors Study

Hippocampal and striatal gray matter volume are associated with a smoking cessation treatment outcome: results of an exploratory voxel-based morphometric analysis

Froeliger, Brett, Kozink, Rachel V., Rose, Jed E., Behm, Frederique M., Salley, Alfred N., McClernon, F. Joseph·2010·Psychopharmacology

Abstract

Rationale Compared to nonsmokers, smokers exhibit a number of potentially important differences in regional brain structure including reduced gray matter (GM) volume and/or density in areas including frontal and cingulate cortices, thalamus, and insula. However, associations between brain structure and smoking cessation treatment outcomes have not been reported.Objectives In the present analysis we sought to identify associations between regional GM volume--as measured by voxel-based morphometry (VBM)--and a smoking cessation treatment outcome (point prevalence abstinence at 4 weeks).Methods Adult smokers underwent high-resolution anatomical MRI scanning prior to an open label smoking cessation treatment trial. VBM was conducted in SPM5 using the DARTEL algorithm and relapser vs. quitter groups were compared using independent sample t tests (p < 0.001, uncorrected). Analyses controlled for potentially confounding factors including years smoked, cigarettes per day, total intracranial volume (TIV), and sex.Results Of 18 smokers, 8 achieved a 4-week point prevalence abstinence, confirmed by CO level (<or=8 ppm). After controlling for all covariates, compared to relapsers, quitters had significantly higher GM volume in the left putamen and right occipital lobe, while also significantly lower GM volume in bilateral hippocampus and right cuneus.Conclusions These preliminary results suggest that maintaining smoking abstinence is associated with higher pre-quit brain volume in regions that subserve habit learning and visual processing, and lower brain volume in regions that subserve long-term memory processes and visual information processing. Future, large-scale studies can determine whether brain structure variables can serve as clinically useful predictors of smoking cessation treatment outcome.

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Crossref · 10.1007/s00213-010-1862-3

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Authors
Froeliger, B., Kozink, R. V., Rose, J. E., Behm, F. M., Salley, A. N., & McClernon, F. J.
Affiliations
Duke University (US)
Corresponding author
McClernon, F. Joseph
Venue
Psychopharmacology
Published
2010-04-28
Volume
210
Issue
4
Pages
577-583
ISSN
  • 0033-3158 (ISSN-L)
  • 1432-2072
OpenAlex
W2070158836
Cited by
49
References
66
Citations by year
2025: 1 · 2024: 1 · 2023: 5 · 2022: 4 · 2021: 1 · 2020: 4 · 2019: 4 · 2018: 3 · 2017: 1 · 2016: 6 · 2015: 6 · 2014: 4 · 2013: 9
FWCI
1.95
Type
journal article
Language
en
Open access
closed
Locations
  • Psychopharmacology (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute on Drug Abuse (K23DA017261)
Topics
  • Health Sciences › Medicine › Physiology › Smoking Behavior and Cessation
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Nicotinic Acetylcholine Receptors Study
Keywords
smoking cessation, gray matter volume, hippocampus, striatum, putamen, smoking abstinence, relapse, habit learning, visual processing, long-term memory, cuneus, occipital lobe
MeSH terms
Adult, Brain, Corpus Striatum, Female, Hippocampus, Humans, Magnetic Resonance Imaging, Male, Recurrence, Tobacco Use Disorder, Smoking Cessation, Treatment Outcome, Nerve Fibers, Unmyelinated

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