ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2014
Prequit fMRI responses to pleasant cues and cigarette-related cues predict smoking cessation outcome.
Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00507728 (Pharmacogenetics, Emotional Reactivity and Smoking), which is not on this map. Cited by 58 papers.
What it found
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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.
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.
Pharmacogenetics, Emotional Reactivity and Smoking
Who cites it
58 citing papers in PubMed, 78 citations in OpenAlex.
- Personalizing smoking cessation pharmacotherapy using neuroaffective reactivity profiles: A randomized controlled trial.Addiction (Abingdon, England) · 2026Trial
- Functional network connectivity predicts treatment outcome during treatment of nicotine use disorder.Psychiatry research. Neuroimaging · 2017Trial
- Benefits of varenicline vs. bupropion for smoking cessation: a Bayesian analysis of the interaction of reward sensitivity and treatment.Psychopharmacology · 2017Trial
- Intra-individual changes in Stroop-related activations linked to cigarette abstinence in adolescent tobacco smokers: Preliminary findings.Drug and alcohol dependence · 2016Trial
- Individual differences in brain responses to cigarette-related cues and pleasant stimuli in young smokers.Drug and alcohol dependence · 2016Trial
- What a stimulus predicts, not what it depicts, determines striatal reward signals.bioRxiv : the preprint server for biology · 2026Article
- An Exploratory Study of an fMRI Reward-Learning Paradigm in Developing Adolescents.Children (Basel, Switzerland) · 2026Article
- Exploring gender differences in tobacco cue-induced craving and heart rate variability in individuals with a tobacco use disorder.Drug and alcohol dependence reports · 2026Article
- Salient cue reactivity and eating behaviors in ex-smokers, abstinent alcohol use disorder, and obesity.Frontiers in psychiatry · 2026Article
- Renewal and reacquisition of substance-associated relapse.Frontiers in psychology · 2026Review
- Sign- vs. goal-tracking is associated with greater adiposity and altered functional connectivity in response to a naturalistic food paradigm.Physiology & behavior · 2025Article
- The late positive potential predicts contingency management outcomes for cocaine use disorder.Drug and alcohol dependence · 2025Article
- Illuminating posterior targets for TMS beyond the prefrontal cortex.Nature. Mental health · 2025Article
- Vaping and Smoking Cue Reactivity in Young Adult Nonsmoking Electronic Cigarette Users: A Functional Neuroimaging Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025Article
- Clustering computer mouse tracking data with informed hierarchical shrinkage partition priors.Biometrics · 2024Article
- Decreased consumption of natural rewards in rhesus monkeys with prolonged methamphetamine abstinence.Frontiers in psychiatry · 2024Article
- Drug memory reconsolidation: from molecular mechanisms to the clinical context.Translational psychiatry · 2023Review
- Neuroaffective reactivity profiles are associated with vulnerability to e-cigarette use.Drug and alcohol dependence · 2023Article
- Towards neuromarkers for tailored smoking cessation treatments.Addiction neuroscience · 2023Article
- Reward and inhibition in obesity and cigarette smoking: Neurobiological overlaps and clinical implications.Physiology & behavior · 2023Review
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
introductionThe reasons that some smokers find it harder to quit than others are unclear. Understanding how individual differences predict smoking cessation outcomes may allow the development of more successful personalized treatments for nicotine dependence. Theoretical models suggest that drug users might be characterized by increased sensitivity to drug cues and by reduced sensitivity to nondrug-related natural rewards. We hypothesized that baseline differences in brain sensitivity to natural rewards and cigarette-related cues would predict the outcome of a smoking cessation attempt.
methodsUsing functional magnetic resonance imaging, we recorded prequit brain responses to neutral, emotional (pleasant and unpleasant), and cigarette-related cues from 55 smokers interested in quitting. We then assessed smoking abstinence, mood, and nicotine withdrawal symptoms during the course of a smoking cessation attempt.
resultsUsing cluster analysis, we identified 2 groups of smokers who differed in their baseline responses to pleasant cues and cigarette-related cues in the posterior visual association areas, the dorsal striatum, and the medial and dorsolateral prefrontal cortex. Smokers who showed lower prequit levels of brain reactivity to pleasant stimuli than to cigarette-related cues were less likely to be abstinent 6 months after their quit attempt, and they had higher levels of negative affect during the course of the quit attempt.
conclusionsSmokers with blunted brain responses to pleasant stimuli, relative to cigarette-related stimuli, had more difficulty quitting smoking. For these individuals, the lack of alternative forms of reinforcement when nicotine deprived might be an important factor underlying relapse. Normalizing these pathological neuroadaptations may help them achieve abstinence.
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Registered trials
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.