Longitudinal changes in reinforcement learning during smoking cessation: a computational analysis using a probabilistic reward task
2024

Changes in Decision-Making During Smoking Cessation

Sample size: 20 publication 10 minutes Evidence: moderate

Author Information

Author(s): Chiara Montemitro, Paolo Ossola, Thomas J. Ross, Quentin J. M. Huys, John R. Fedota, Betty Jo Salmeron, Massimo di Giannantonio, Elliot A. Stein

Primary Institution: National Institute on Drug Abuse-Intramural Research Program, National Institutes of Health, Baltimore, MD USA

Hypothesis

We hypothesized that both acute and extended abstinence would decrease sensitivity to rewards compared to the satiated state.

Conclusion

The study found that punishment sensitivity increased during extended nicotine abstinence, while reward sensitivity remained unchanged.

Supporting Evidence

  • Smokers who abstained for 30 days showed increased sensitivity to negative outcomes.
  • Punishment sensitivity was the only parameter that changed during the study.
  • Participants reported lower craving levels alongside increased punishment sensitivity after extended abstinence.

Takeaway

When people stop smoking, they become more sensitive to negative outcomes, which might help them stay smoke-free.

Methodology

The study used a longitudinal, within-subject design with a probabilistic reward task to assess reinforcement learning in smokers during nicotine abstinence.

Potential Biases

The study may be influenced by task practice effects and the effects of cognitive behavioral therapy provided to participants.

Limitations

The small sample size limits the generalizability of the findings and the absence of longitudinal measures in control groups.

Participant Demographics

The sample consisted of 20 treatment-seeking smokers, 14 of whom were male.

Statistical Information

P-Value

p<0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1038/s41598-024-84091-y

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