Literature DB >> 25292454

Neural reward and punishment sensitivity in cigarette smokers.

Geoffrey F Potts1, Erika L Bloom2, David E Evans3, David J Drobes4.   

Abstract

BACKGROUND: Nicotine addiction remains a major public health problem but the neural substrates of addictive behavior remain unknown. One characteristic of smoking behavior is impulsive choice, selecting the immediate reward of smoking despite the potential long-term negative consequences. This suggests that drug users, including cigarette smokers, may be more sensitive to rewards and less sensitive to punishment.
METHODS: We used event-related potentials (ERPs) to test the hypothesis that smokers are more responsive to reward signals and less responsive to punishment, potentially predisposing them to risky behavior. We conducted two experiments, one using a reward prediction design to elicit a Medial Frontal Negativity (MFN) and one using a reward- and punishment-motivated flanker task to elicit an Error Related Negativity (ERN), ERP components thought to index activity in the cortical projection of the dopaminergic reward system. RESULTS AND
CONCLUSIONS: The smokers had a greater MFN response to unpredicted rewards, and non-smokers, but not smokers, had a larger ERN on punishment motivated trials indicating that smokers are more reward sensitive and less punishment sensitive than nonsmokers, overestimating the appetitive value and underestimating aversive outcomes of stimuli and actions.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Event-related potentials; Medial frontal negativity, Error related negativity, Addiction, Reward, Punishment

Mesh:

Year:  2014        PMID: 25292454      PMCID: PMC4282774          DOI: 10.1016/j.drugalcdep.2014.09.773

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  66 in total

1.  Tracking the hemodynamic responses to reward and punishment in the striatum.

Authors:  M R Delgado; L E Nystrom; C Fissell; D C Noll; J A Fiez
Journal:  J Neurophysiol       Date:  2000-12       Impact factor: 2.714

2.  Smoking history and nicotine effects on cognitive performance.

Authors:  M Ernst; S J Heishman; L Spurgeon; E D London
Journal:  Neuropsychopharmacology       Date:  2001-09       Impact factor: 7.853

3.  A multiple motives approach to tobacco dependence: the Wisconsin Inventory of Smoking Dependence Motives (WISDM-68).

Authors:  Megan E Piper; Thomas M Piasecki; E Belle Federman; Daniel M Bolt; Stevens S Smith; Michael C Fiore; Timothy B Baker
Journal:  J Consult Clin Psychol       Date:  2004-04

4.  Neuroeconomics: making risky choices in the brain.

Authors:  Daeyeol Lee
Journal:  Nat Neurosci       Date:  2005-09       Impact factor: 24.884

5.  Cognitive performance effects of subcutaneous nicotine in smokers and never-smokers.

Authors:  J Foulds; J Stapleton; J Swettenham; N Bell; K McSorley; M A Russell
Journal:  Psychopharmacology (Berl)       Date:  1996-09       Impact factor: 4.530

Review 6.  A neural substrate of prediction and reward.

Authors:  W Schultz; P Dayan; P R Montague
Journal:  Science       Date:  1997-03-14       Impact factor: 47.728

7.  Activation of the human brain by monetary reward.

Authors:  G Thut; W Schultz; U Roelcke; M Nienhusmeier; J Missimer; R P Maguire; K L Leenders
Journal:  Neuroreport       Date:  1997-03-24       Impact factor: 1.837

8.  Dramatic decreases in brain reward function during nicotine withdrawal.

Authors:  M P Epping-Jordan; S S Watkins; G F Koob; A Markou
Journal:  Nature       Date:  1998-05-07       Impact factor: 49.962

Review 9.  Individual differences in smoking: gender and nicotine addiction.

Authors:  S Shiffman; S M Paton
Journal:  Nicotine Tob Res       Date:  1999       Impact factor: 4.244

10.  The health risks of smoking. The Framingham Study: 34 years of follow-up.

Authors:  K M Freund; A J Belanger; R B D'Agostino; W B Kannel
Journal:  Ann Epidemiol       Date:  1993-07       Impact factor: 3.797

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  2 in total

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2.  Prefrontal cortical activation in Internet Gaming Disorder Scale high scorers during actual real-time internet gaming: A preliminary study using fNIRS.

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