Literature DB >> 19270463

Changes in the electroencephalographic spectrum in response to smoking cues in smokers and ex-smokers.

Marianne Littel1, Ingmar H A Franken, Jan W Van Strien.   

Abstract

AIMS: To investigate the changes in the electroencephalographic (EEG) spectrum in smokers during exposure to a neutral and a smoking-related cue to determine whether these EEG changes are still present in ex-smokers after prolonged abstinence and to examine the relationship between the power in each spectral bandwidth and subjective craving.
METHODS: EEG frequencies in response to a smoking-related and a neutral cue were examined in 23 smokers and 21 ex-smokers, who quit smoking for 1.4 years on average. Additionally, self-report measures of cigarette craving and nicotine dependence were obtained. The spectral power of each bandwidth was computed, log-transformed, and analyzed using a within-subject design. Differences between EEG activity under neutral and smoking conditions were correlated with differences between pre- and postexperimental subjective craving.
RESULTS: Increases in reward craving (desire and intention to smoke) were associated with reduced theta activity, whereas increases in withdrawal craving (reduction of negative affect and withdrawal symptoms) were correlated with increases in both delta and higher alpha power. Furthermore, in smokers, but not in ex-smokers, a significant beta power increase was observed between the neutral condition and the smoking condition.
CONCLUSION: Since the beta band is associated with arousal, attention, and alertness, it is suggested that the beta increase in response to the smoking cue might reflect an enhanced allocation of resources to smoking-related stimuli, i.e. a processing bias, which is an important feature of substance abuse. Since ex-smokers do not respond to the smoking cue with beta activity enhancement, we preliminarily conclude that smoking cues do not arouse ex-smokers or capture their attention as much as they do in smokers. Copyright 2009 S. Karger AG, Basel.

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Mesh:

Year:  2009        PMID: 19270463     DOI: 10.1159/000205517

Source DB:  PubMed          Journal:  Neuropsychobiology        ISSN: 0302-282X            Impact factor:   2.328


  5 in total

1.  Alpha oscillations in response to affective and cigarette-related stimuli in smokers.

Authors:  Yong Cui; Francesco Versace; Jeffrey M Engelmann; Jennifer A Minnix; Jason D Robinson; Cho Y Lam; Maher Karam-Hage; Victoria L Brown; David W Wetter; John A Dani; Thomas R Kosten; Paul M Cinciripini
Journal:  Nicotine Tob Res       Date:  2012-10-11       Impact factor: 4.244

Review 2.  Cued for risk: Evidence for an incentive sensitization framework to explain the interplay between stress and anxiety, substance abuse, and reward uncertainty in disordered gambling behavior.

Authors:  Samantha N Hellberg; Trinity I Russell; Mike J F Robinson
Journal:  Cogn Affect Behav Neurosci       Date:  2019-06       Impact factor: 3.282

3.  Delta coherence in resting-state EEG predicts the reduction in cigarette craving after hypnotic aversion suggestions.

Authors:  Xiaoming Li; Ru Ma; Liangjun Pang; Wanwan Lv; Yunlu Xie; Ying Chen; Pengyu Zhang; Jiawen Chen; Qichao Wu; Guanbao Cui; Peng Zhang; Yifeng Zhou; Xiaochu Zhang
Journal:  Sci Rep       Date:  2017-05-25       Impact factor: 4.379

4.  Smoking-related cue reactivity in a virtual reality setting: association between craving and EEG measures.

Authors:  Stefano Tamburin; Denise Dal Lago; Federica Armani; Marco Turatti; Riccardo Saccà; Simone Campagnari; Cristiano Chiamulera
Journal:  Psychopharmacology (Berl)       Date:  2020-12-02       Impact factor: 4.530

5.  Theta-Burst Stimulation Combined With Virtual-Reality Reconsolidation Intervention for Methamphetamine Use Disorder: Study Protocol for a Randomized-Controlled Trial.

Authors:  Yatong Wen; Xuemin Hao; Xijing Chen; Siyue Qiao; Qianling Li; Markus H Winkler; Fenglan Wang; Xiaoli Yan; Fang Wang; Liang Wang; Feng Jiang; Paul Pauli; Xinwen Dong; Yonghui Li
Journal:  Front Psychiatry       Date:  2022-07-05       Impact factor: 5.435

  5 in total

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