Greater risk sensitivity of dorsolateral prefrontal cortex in young smokers than in nonsmokers
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Despite a national reduction in the prevalence of cigarette smoking, ~19 % of the adult US population persists in this behavior, with the highest prevalence among 18–25-year-olds. Given that the choice to smoke imposes a known health risk, clarification of brain function related to decision-making, particularly involving risk-taking, in smokers may inform prevention and smoking cessation strategies.
This study aimed to compare brain function related to decision-making in young smokers and nonsmokers.
The Balloon Analogue Risk Task (BART) is a computerized risky decision-making task in which participants pump virtual balloons, each pump associated with an incremental increase in potential payoff on a given trial but also with greater risk of balloon explosion and loss of payoff. We used this task to compare brain activation associated with risky decision-making in smokers (n = 18) and nonsmokers (n = 25), while they performed the BART during functional magnetic resonance imaging (fMRI). The participants were young men and women, 17–21 years of age.
Risk level (number of pumps) modulated brain activation in the right dorsolateral and ventrolateral prefrontal cortices more in smokers than in nonsmokers, and smoking severity (Heaviness of Smoking Index) was positively related to this modulation in an adjacent frontal region.
Given evidence for involvement of the right dorsolateral and ventrolateral prefrontal cortices in inhibitory control, these findings suggest that young smokers have a different contribution of prefrontal cortical substrates to risky decision-making than nonsmokers. Future studies are warranted to determine whether the observed neurobiological differences precede or result from smoking.
KeywordsNicotine Functional MRI Prefrontal cortex Decision-making
The research described in this article was funded, in part, by a grant from Philip Morris USA under UCLA contract 20063287. Additional funding was provided by an endowment from the Thomas P. and Katherine K. Pike, Chair in Addiction Studies, and a gift from the Marjorie M. Greene Trust. M Kohno was supported by an institutional training grant, T32 DA024635. All experimental procedures comply with current laws of the United States of America.
Conflict of interest
- Addicott MA, Baranger DA, Kozink RV, Smoski MJ, Dichter GS, McClernon FJ (2012) Smoking withdrawal is associated with increases in brain activation during decision making and reward anticipation: a preliminary study. Psychopharmacol (Berl) 219(2):563–73. doi: 10.1007/s00213-011-2404-3 CrossRefGoogle Scholar
- Bogg T, Fukunaga R, Finn PR, Borwn JW (2012) Cognitive control links alcohol use, trait disinhibition, and reduced cognitive capacity: evidence for medial prefrontal cortex dysregulation during reward-seeking behavior. Drug Alcohol Depend 122:112–118. doi: 10.1016/j.drugalcdep.2011.09.018 PubMedCrossRefGoogle Scholar
- Borland R, Yong HH, O'Connor RJ, Hyland A, Thompson ME (2010) The reliability and predictive validity of the Heaviness of Smoking Index and its two components: findings from the International Tobacco Control Four Country study. Nicotine Tob Res 12(Suppl):S45–50. doi: 10.1093/ntr/ntq038 PubMedCrossRefGoogle Scholar
- Bornovalova M, Cashman-Rolls A, O'Donnell J, Ettinger K, Richards J, deWit H, Lejuez C (2009) Risk taking differences on a behavioral task as a function of potential reward/loss magnitude and individual differences in impulsivity and sensation seeking. Pharmacol Biochem Behav 93:258–262. doi: 10.1016/j.pbb.2008.10.023 PubMedCrossRefGoogle Scholar
- Center for Disease Control and Prevention (2008) Cigarette smoking among adults—United States, 2006. MMWR Morb Mortal Wkly Rep 56:1157–1161Google Scholar
- Centers for Disease Control and Prevention (2011) Vital signs: current cigarette smoking among adults aged ≥18 years—United States, 2005–2010. MMWR Morb Mortal Wkly Rep 60(33):1207–12Google Scholar
- Hughes J, Hatsukami D (1986) Signs and symptoms of tobacco withdrawal. Arch Gen Psychiatry 43:289–294. doi: 10.1001/archpsyc.1986.018000T. Ida, R. Goto (2009). Interdependency among addictive behaviors and time/risk preferences: discrete choice model analysis of smoking, drinking and gambling. Journal of Economic Psychology, 30:608–621. http://dx.doi.org/ 10.1016/j.joep. 2009.05.003Google Scholar
- U.S. Department of Health and Human Services (2012). Preventing tobacco use among youth and young adults: a report of the Surgeon General, 2012. U.S. DHHS, Office of the Surgeon GeneralGoogle Scholar
- Xu J, Mendrek A, Cohen M, Monterosso J, Rodriguez P, Simon S, Brody AL, Jarvik M, Domier C, Olmstead R, Ernst M, London ED (2005) Brain activity in cigarette smokers performing a working memory task: effect of smoking abstinence. Biol Psychiatry 58:143–150. doi: 10.1016/j.biopsych.2005.03.028 PubMedCrossRefGoogle Scholar
- Xu J, Mendrek A, Cohen M, Monterosso J, Simon S, Jarvik M, Olmstead R, Brody AL, Ernst M, London ED (2007) Effect of cigarette smoking on prefrontal cortical function in nondeprived smokers performing the Stroop Task. Neuropsychopharmacology 32:1421–1428. doi: 10.1038/sj.npp.1301272 PubMedCrossRefGoogle Scholar