Literature DB >> 24380760

Neural correlates of performance monitoring in daily and intermittent smokers.

Olga Rass1, Daniel J Fridberg2, Brian F O'Donnell3.   

Abstract

OBJECTIVES: Despite efforts that have increased smoking regulation, cigarette taxation, and social stigma, cigarette smoking remains the leading cause of preventable death worldwide, and a significant personal and public economic burden. In the U.S., intermittent smokers comprise approximately 22% of all smokers and represent a stable, non-dependent group that may possess protective factors that prevent the transition to dependence. One possibility is that intermittent smokers have intact CNS frontal regulatory and control mechanisms that enable resistance to nicotine-induced changes.
METHODS: The present study measured inhibitory control using a flanker task and a go-nogo continuous performance tasks in daily dependent smokers, intermittent non-dependent smokers, and nonsmokers. Event-related potential (ERP) measures of were concurrently recorded to measure performance monitoring via Event-Related Negativity (ERN) and error positivity (Pe) components during error trials for each task.
RESULTS: In both tasks, behavioral and ERN measures did not differ between groups; however, amplitude of the Pe component was largest among intermittent smokers.
CONCLUSIONS: Thus, intermittent smokers differed from both daily smokers and nonsmokers on error processing, potentially revealing neuroprotective cognitive processes in nicotine dependence. SIGNIFICANCE: A better understanding of factors that mediate behavioral regulation may provide novel treatment approaches that help individuals achieve controlled smoking or cessation.
Copyright © 2013 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Error-related negativity; Event-related potentials; Performance monitoring; Smoking; Substance dependence

Mesh:

Year:  2013        PMID: 24380760      PMCID: PMC4035444          DOI: 10.1016/j.clinph.2013.12.001

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  55 in total

1.  Correlations between orbitofrontal dysfunction and tobacco smoking.

Authors:  Marcello Spinella
Journal:  Addict Biol       Date:  2002-10       Impact factor: 4.280

2.  Quitting smoking among adults--United States, 2001-2010.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2011-11-11       Impact factor: 17.586

3.  Lack of inhibitory control predicts cigarette smoking dependence: evidence from a non-deprived sample of light to moderate smokers.

Authors:  Joël Billieux; Philippe Gay; Lucien Rochat; Yasser Khazaal; Daniele Zullino; Martial Van der Linden
Journal:  Drug Alcohol Depend       Date:  2010-07-27       Impact factor: 4.492

4.  Smokers' brains compute, but ignore, a fictive error signal in a sequential investment task.

Authors:  Pearl H Chiu; Terry M Lohrenz; P Read Montague
Journal:  Nat Neurosci       Date:  2008-03-02       Impact factor: 24.884

5.  To P(E) or not to P(E): a P3-like ERP component reflecting the processing of response errors.

Authors:  K Richard Ridderinkhof; Jennifer R Ramautar; Jasper G Wijnen
Journal:  Psychophysiology       Date:  2009-02-17       Impact factor: 4.016

6.  Evidence for a deficit in the salience attribution to errors in smokers.

Authors:  Ingmar H A Franken; Jan W van Strien; Ilse Kuijpers
Journal:  Drug Alcohol Depend       Date:  2009-09-24       Impact factor: 4.492

Review 7.  Addiction, compulsive drug seeking, and the role of frontostriatal mechanisms in regulating inhibitory control.

Authors:  Jodie Feil; Dianne Sheppard; Paul B Fitzgerald; Murat Yücel; Dan I Lubman; John L Bradshaw
Journal:  Neurosci Biobehav Rev       Date:  2010-03-17       Impact factor: 8.989

8.  Trajectories of cigarette smoking from adolescence to young adulthood as predictors of obesity in the mid-30s.

Authors:  David W Brook; Chenshu Zhang; Judith S Brook; Stephen J Finch
Journal:  Nicotine Tob Res       Date:  2010-01-18       Impact factor: 4.244

Review 9.  Impulsivity as a determinant and consequence of drug use: a review of underlying processes.

Authors:  Harriet de Wit
Journal:  Addict Biol       Date:  2008-10-09       Impact factor: 4.280

10.  The nicotine dependence syndrome scale: a multidimensional measure of nicotine dependence.

Authors:  Saul Shiffman; Andrew Waters; Mary Hickcox
Journal:  Nicotine Tob Res       Date:  2004-04       Impact factor: 4.244

View more
  9 in total

1.  Smiling Instead of Smoking: Development of a Positive Psychology Smoking Cessation Smartphone App for Non-daily Smokers.

Authors:  Bettina B Hoeppner; Susanne S Hoeppner; Lourah Kelly; Melissa Schick; John F Kelly
Journal:  Int J Behav Med       Date:  2017-10

2.  Insula Demonstrates a Non-Linear Response to Varying Demand for Cognitive Control and Weaker Resting Connectivity With the Executive Control Network in Smokers.

Authors:  John R Fedota; Allison L Matous; Betty Jo Salmeron; Hong Gu; Thomas J Ross; Elliot A Stein
Journal:  Neuropsychopharmacology       Date:  2016-04-26       Impact factor: 7.853

3.  Cigarette-specific disgust aroused by smoking warning images strengthens smokers' inhibitory control under smoking-related background in Go/NoGo task.

Authors:  Xinwei Li; Weijian Li; Haide Chen; Ningmeng Cao; Boqiang Zhao
Journal:  Psychopharmacology (Berl)       Date:  2021-06-24       Impact factor: 4.530

4.  Nicotine dependence (trait) and acute nicotinic stimulation (state) modulate attention but not inhibitory control: converging fMRI evidence from Go-Nogo and Flanker tasks.

Authors:  E Lesage; M T Sutherland; T J Ross; B J Salmeron; E A Stein
Journal:  Neuropsychopharmacology       Date:  2020-01-29       Impact factor: 7.853

5.  Resting-state EEG, impulsiveness, and personality in daily and nondaily smokers.

Authors:  Olga Rass; Woo-Young Ahn; Brian F O'Donnell
Journal:  Clin Neurophysiol       Date:  2015-05-14       Impact factor: 3.708

6.  Daily cannabis use in adolescents who smoke tobacco is associated with altered late-stage feedback processing: A high-density electrical mapping study.

Authors:  Kristen P Morie; Jia Wu; Marc N Potenza; Suchitra Krishnan-Sarin; Linda C Mayes; Christopher J Hammond; Michael J Crowley
Journal:  J Psychiatr Res       Date:  2021-05-23       Impact factor: 4.791

7.  Neural correlates of error monitoring in adolescents prospectively predict initiation of tobacco use.

Authors:  Andrey P Anokhin; Simon Golosheykin
Journal:  Dev Cogn Neurosci       Date:  2015-08-10       Impact factor: 6.464

8.  Diminished error-related negativity and error positivity in children and adults with externalizing problems and disorders: a meta-analysis on error processing.

Authors:  Miranda Christine Lutz; Rianne Kok; Ilse Verveer; Marcelo Malbec; Susanne Koot; Pol A C van Lier; Ingmar H A Franken
Journal:  J Psychiatry Neurosci       Date:  2021-11-09       Impact factor: 6.186

9.  Response inhibition of cigarette-related cues in male light smokers: behavioral evidence using a two-choice oddball paradigm.

Authors:  Zhao Xin; Liu X Ting; Zan X Yi; Dai Li; Zhou A Bao
Journal:  Front Psychol       Date:  2015-10-15
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.