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Acute and Chronic Nicotine Modulation of Reinforcement Learning — NicLearning  

Nicotine Addiction Clinical Trial

Official title:
Acute and Chronic Nicotine Modulation of Reinforcement Learning

Clinical Trial Summary

The purpose of this study is to use functional magnetic resonance imaging (fMRI) to investigate the acute and chronic effects of nicotine on motivational behavior and prediction error-related neural activation. Nonsmokers (n = 24) and smokers (n = 24) will undergo fMRI scans on two separate occasions while performing a decision-making task that will elicit prediction error signals in the mesocorticolimbic pathway of the brain. Nonsmokers will be scanned once following an acute dose of nicotine and once following placebo administration. Smokers will be scanned once following smoking as usual and once following 24-hours of smoking abstinence, in order to measure the effects of nicotine withdrawal. The study team hypothesizes that acute nicotine will increase the prediction error signal in nonsmokers compared to placebo, and that nicotine withdrawal will decrease the prediction error signal in smokers compared to the normal satiated condition. Furthermore, nonsmokers (during the placebo condition) will have greater prediction error activation than smokers (during the satiated condition). The results of this study will inform whether the initiation and maintenance of smoking behavior could be facilitated by the effects of nicotine on reinforcement learning.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT01830842
Study type Interventional
Source Duke University
Contact
Status Completed
Phase N/A
Start date February 2014
Completion date August 31, 2016
View Details
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