Cited by 230Smoking Behavior and CessationNicotinic Acetylcholine Receptors StudySubstance Abuse Treatment and Outcomes

Severity of nicotine dependence modulates cue-induced brain activity in regions involved in motor preparation and imagery

Smolka, Michael N., Bühler, Mira, Klein, Sabine, Zimmermann, Ulrich, Mann, Karl, Heinz, Andreas, Braus, Dieter F.·2006·Psychopharmacology

Abstract

Rationale In nicotine-dependent subjects, cues related to smoking elicit activity in brain regions linked to attention, memory, emotion and motivation. Cue-induced brain activation is associated with self-reported craving but further correlates are widely unknown.Objectives This study was conducted to investigate whether brain activity elicited by smoking cues increases with severity of nicotine dependence and intensity of cue-elicited craving.Methods Ten healthy male smokers whose degree of nicotine dependence ranged from absent to severe were investigated. Visual smoking cues and neutral stimuli were presented in a block design during functional magnetic resonance imaging (fMRI). Using multiple linear regression analysis, the blood oxygen level dependent (BOLD) response to smoking cues was correlated with severity of nicotine dependence assessed with the Fagerström Test of Nicotine Dependence (FTND) and with cue-induced craving.Results Significant positive correlations between the BOLD activity and FTND scores were found in brain areas related to visuospatial attention (anterior cingulate cortex, parietal cortex, parahippocampal gyrus and cuneus) and in regions involved in motor preparation and imagery (primary and premotor cortex, supplementary motor area). Intensity of cue-induced craving was significantly associated with greater BOLD activation in mesocorticolimbic areas engaged in incentive motivation and in brain regions related to episodic memory.Conclusions Our study suggests that severity of nicotine dependence and intensity of craving are independently associated with cue-induced brain activation in separate neuronal networks. The observed association between severity of dependence and brain activity in regions involved in allocation of attention, motor preparation and imagery might reflect preparation of automated drug taking behavior thereby facilitating cue-induced relapse.

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Crossref · 10.1007/s00213-005-0080-x

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References 55 · Cited by 230

Authors
Smolka, M. N., Bühler, M., Klein, S., Zimmermann, U., Mann, K., Heinz, A., & Braus, D. F.
Affiliations
  • Central Institute of Mental Health (DE)
  • Charité – Universitätsmedizin Berlin (DE)
  • Universität Hamburg (DE)
Corresponding author
Smolka, Michael N.
Venue
Psychopharmacology
Published
2005-08-13
Volume
184
Issue
3-4
Pages
577-588
ISSN
  • 0033-3158 (ISSN-L)
  • 1432-2072
OpenAlex
W2018086419
Cited by
230
References
55
Citations by year
2026: 4 · 2025: 4 · 2024: 3 · 2023: 9 · 2022: 5 · 2021: 13 · 2020: 9 · 2019: 10 · 2018: 6 · 2017: 15 · 2016: 9 · 2015: 16 · 2014: 11 · 2013: 13 · 2012: 20
FWCI
4.79
Type
journal article
Language
en
Open access
closed
Locations
  • Psychopharmacology (publishedVersion)
  • PubMed (publishedVersion)
Funders
Deutsche Forschungsgemeinschaft
Topics
  • Health Sciences › Medicine › Physiology › Smoking Behavior and Cessation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Nicotinic Acetylcholine Receptors Study
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
Keywords
nicotine dependence, smoking cues, cue-induced craving, cue reactivity, Fagerström Test for Nicotine Dependence, visuospatial attention, motor preparation, motor imagery, supplementary motor area, premotor cortex, mesocorticolimbic system, incentive motivation, episodic memory, relapse
MeSH terms
Adult, Arousal, Association Learning, Attention, Brain, Brain Mapping, Cues, Humans, Image Enhancement, Image Processing, Computer-Assisted, Imagination, Magnetic Resonance Imaging, Male, Memory, Motivation, Nicotine, Oxygen, Psychomotor Performance, Smoking, Statistics as Topic, Substance Withdrawal Syndrome, Tobacco Use Disorder, Linear Models, Behavior, Addictive

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