Related Experiment Video
Updated: May 10, 2025

08:30
Operant Procedures for Assessing Behavioral Flexibility in Rats
Published on: February 15, 2015
20.7K
Changes in Inhibition-Related Brain Function and Psychological Flexibility during Smoking Abstinence: A
Louis-Ferdinand Lespine1, Laura M Rueda-Delgado1, Nigel Vahey1
1School of Psychology, Trinity College Dublin, Dublin, Ireland.
European Addiction Research
|April 27, 2025
Summary
Changes in psychological flexibility and brain activity during smoking cessation predict relapse. Combining these factors improves prediction accuracy, offering new strategies for sustained nicotine abstinence.
Area of Science:
- Neuroscience
- Psychology
- Addiction Science
Background:
- Smoking cessation attempts are frequent but often unsuccessful due to high relapse rates.
- Neuroimaging and psychological metrics show potential in predicting substance use phenotypes, including relapse.
- Previous research has not comparatively assessed changes in psychological processes versus brain activity for predicting smoking relapse.
Purpose of the Study:
- To compare the predictive power of changes in psychosocial variables against changes in task-based functional brain measures for nicotine relapse.
- To investigate the combined predictive ability of psychosocial and neuroimaging data for smoking cessation outcomes.
- To identify key factors that predict sustained abstinence from nicotine.
Main Methods:
- A longitudinal study design with 120 participants, measuring variables one day before and at 1 and 4 weeks post-cessation.
- Bioverified abstinence checks were conducted multiple times during the first month.
- A novel machine learning approach was employed to analyze psychosocial and functional brain imaging data (electrophysiology) to predict time to relapse up to 12 months.
Main Results:
- Increased electrophysiological brain activity during inhibitory control tasks predicted longer time to relapse (c-index=0.56).
- Enhanced psychological flexibility, particularly when experiencing negative smoking-related sensations during abstinence, predicted longer time to relapse (c-index=0.63).
- A combined model integrating psychosocial and brain data demonstrated superior predictive accuracy (c-index=0.68) and generalizability on a validation dataset (c-index=0.59).
Conclusions:
- Changes in psychological flexibility and inhibitory control brain function during abstinence are crucial predictors of smoking relapse.
- Monitoring and potentially augmenting these psychological and neural factors could enhance the success of smoking cessation interventions.
- The findings highlight the importance of a combined approach, integrating psychological and neurobiological markers, for predicting and supporting long-term nicotine abstinence.

