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Journal of Addiction
Volume 2014, Article ID 189853, 14 pages
http://dx.doi.org/10.1155/2014/189853
Research Article

Choosing Money over Drugs: The Neural Underpinnings of Difficult Choice in Chronic Cocaine Users

1Virginia Tech Carilion Research Institute, Virginia Tech, Roanoke, VA 24016, USA
2Human Neuroimaging Laboratory, Virginia Tech Carilion Research Institute, 2 Riverside Circle, Roanoke, VA 24016, USA
3Addiction Recovery Research Center, Virginia Tech, Roanoke, VA 24016, USA
4Department of Psychology, Stanford University, Stanford, CA 94305, USA
5Menninger Department of Psychiatry and Behavioral Science, Baylor College of Medicine, Houston, TX 77030, USA

Received 31 March 2014; Revised 6 June 2014; Accepted 25 June 2014; Published 14 August 2014

Academic Editor: James Zacny

Copyright © 2014 Michael J. Wesley et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. Diagnostic and Statistical Manual of Mental Disorders, American Psychiatric Publishing, Arlington, Va, USA, 4th edition, 2004.
  2. P. R. Montague, S. E. Hyman, and J. D. Cohen, “Computational roles for dopamine in behavioural control,” Nature, vol. 431, no. 7010, pp. 760–767, 2004. View at Publisher · View at Google Scholar · View at Scopus
  3. J. W. Kable and P. W. Glimcher, “The neural correlates of subjective value during intertemporal choice,” Nature Neuroscience, vol. 10, no. 12, pp. 1625–1633, 2007. View at Publisher · View at Google Scholar · View at Scopus
  4. S. M. McClure, D. I. Laibson, G. Loewenstein, and J. D. Cohen, “Separate neural systems value immediate and delayed monetary rewards,” Science, vol. 306, no. 5695, pp. 503–507, 2004. View at Publisher · View at Google Scholar · View at Scopus
  5. C. S. Tanaka, K. Doya, G. Okada, K. Ueda, Y. Okamoto, and S. Yamawaki, “Prediction of immediate and future rewards differentially recruits cortico-basal ganglia loops,” Nature Neuroscience, vol. 7, no. 8, pp. 887–893, 2004. View at Publisher · View at Google Scholar · View at Scopus
  6. W. F. Hoffman, D. L. Schwartz, M. S. Huckans et al., “Cortical activation during delay discounting in abstinent methamphetamine dependent individuals,” Psychopharmacology, vol. 201, no. 2, pp. 183–193, 2008. View at Publisher · View at Google Scholar · View at Scopus
  7. S. H. Heil, M. W. Johnson, S. T. Higgins, and W. K. Bickel, “Delay discounting in currently using and currently abstinent cocaine-dependent outpatients and non-drug-using matched controls,” Addictive Behaviors, vol. 31, no. 7, pp. 1290–1294, 2006. View at Publisher · View at Google Scholar · View at Scopus
  8. J. R. Monterosso, G. Ainslle, J. Xu, X. Cordova, C. P. Domier, and E. D. London, “Frontoparietal cortical activity of methamphetamine-dependent and comparison subjects performing a delay discounting task,” Human Brain Mapping, vol. 28, no. 5, pp. 383–393, 2007. View at Publisher · View at Google Scholar · View at Scopus
  9. C. L. Hart, M. Haney, R. W. Foltin, and M. W. Fischman, “Alternative reinforcers differentially modify cocaine self-administration by humans,” Behavioural Pharmacology, vol. 11, no. 1, pp. 87–91, 2000. View at Publisher · View at Google Scholar · View at Scopus
  10. S. T. Higgins, W. K. Bickel, and J. R. Hughes, “Influence of an alternative reinforcer on human cocaine self-administration,” Life Sciences, vol. 55, no. 3, pp. 179–187, 1994. View at Publisher · View at Google Scholar · View at Scopus
  11. C. L. Hart, High Price, HarperCollins Publishers, New York, NY, USA, 1st edition, 2013.
  12. W. K. Bickel, R. D. Landes, D. R. Christensen et al., “Single- and cross-commodity discounting among cocaine addicts: the commodity and its temporal location determine discounting rate,” Psychopharmacology, vol. 217, no. 2, pp. 177–187, 2011. View at Publisher · View at Google Scholar · View at Scopus
  13. M. B. First, R. L. Spitzer, and J. B. Williams, Users Guide for the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I), Clinical Version, American Psychiatric Publishing, 1997.
  14. J. Myerson, L. Green, and M. Warusawitharana, “Area under the curve as a measure of discounting,” Journal of the Experimental Analysis of Behavior, vol. 76, no. 2, pp. 235–243, 2001. View at Publisher · View at Google Scholar · View at Scopus
  15. M. J. Wesley, C. A. Hanlon, and L. J. Porrino, “Poor decision-making by chronic marijuana users is associated with decreased functional responsiveness to negative consequences,” Psychiatry Research, vol. 191, no. 1, pp. 51–59, 2011. View at Publisher · View at Google Scholar · View at Scopus
  16. W. K. Bickel, D. P. Jarmolowicz, E. T. Mueller, M. N. Koffarnus, and K. M. Gatchalian, “Excessive discounting of delayed reinforcers as a trans-disease process contributing to addiction and other disease-related vulnerabilities: emerging evidence,” Pharmacology and Therapeutics, vol. 134, no. 3, pp. 287–297, 2012. View at Publisher · View at Google Scholar · View at Scopus
  17. C. S. Sripada, R. Gonzalez, K. Luan Phan, and I. Liberzon, “The neural correlates of intertemporal decision-making: contributions of subjective value, stimulus type, and trait impulsivity,” Human Brain Mapping, vol. 32, no. 10, pp. 1637–1648, 2011. View at Publisher · View at Google Scholar · View at Scopus
  18. L. Xu, Z. Liang, K. Wang, S. Li, and T. Jiang, “Neural mechanism of intertemporal choice: from discounting future gains to future losses,” Brain Research, vol. 1261, pp. 65–74, 2009. View at Publisher · View at Google Scholar · View at Scopus
  19. B. J. Weber and S. A. Huettel, “The neural substrates of probabilistic and intertemporal decision making,” Brain Research, vol. 1234, pp. 104–115, 2008. View at Publisher · View at Google Scholar · View at Scopus
  20. J. Peters and C. Büchel, “Overlapping and distinct neural systems code for subjective value during intertemporal and risky decision making,” Journal of Neuroscience, vol. 29, no. 50, pp. 15727–15734, 2009. View at Publisher · View at Google Scholar · View at Scopus
  21. D. Ross, C. Sharp, R. E. Vuchinich, and D. Spurrett, Midbrain Mutiny: The Picoeconomics and Neuroeconomics of Disordered Gambling: Economic Theory and Cognitive Science, A Bradford Book, 1st edition, 2008.
  22. M. C. Hearing, M. Schwendt, and J. F. McGinty, “Suppression of activity-regulated cytoskeleton-associated gene expression in the dorsal striatum attenuates extinction of cocaine-seeking,” International Journal of Neuropsychopharmacology, vol. 14, no. 6, pp. 784–795, 2011. View at Publisher · View at Google Scholar · View at Scopus
  23. D. Belin and B. J. Everitt, “Cocaine seeking habits depend upon dopamine-dependent serial connectivity linking the ventral with the dorsal striatum,” Neuron, vol. 57, no. 3, pp. 432–441, 2008. View at Publisher · View at Google Scholar · View at Scopus
  24. M. A. Nader, J. B. Daunais, T. Moore et al., “Effects of cocaine self-administration on striatal dopamine systems in rhesus monkeys: initial and chronic exposure,” Neuropsychopharmacology, vol. 27, no. 1, pp. 35–46, 2002. View at Publisher · View at Google Scholar · View at Scopus
  25. L. J. Porrino, D. Lyons, H. R. Smith, J. B. Daunais, and M. A. Nader, “Cocaine self-administration produces a progressive involvement of limbic, association, and sensorimotor striatal domains,” Journal of Neuroscience, vol. 24, no. 14, pp. 3554–3562, 2004. View at Publisher · View at Google Scholar · View at Scopus
  26. M. J. Wesley and W. K. Bickel, “Remember the future II: meta-analyses and functional overlap of working memory and delay discounting,” Biological Psychiatry, vol. 75, pp. 435–448, 2014. View at Google Scholar
  27. N. D. Volkow, G. Wang, F. Telang et al., “Cocaine cues and dopamine in dorsal striatum: mechanism of craving in cocaine addiction,” Journal of Neuroscience, vol. 26, no. 24, pp. 6583–6588, 2006. View at Publisher · View at Google Scholar · View at Scopus
  28. H. M. B. Lesscher and L. J. M. J. Vanderschuren, “Compulsive drug use and its neural substrates,” Reviews in the Neurosciences, vol. 23, no. 5-6, pp. 731–745, 2012. View at Publisher · View at Google Scholar · View at Scopus
  29. A. Christakou, T. W. Robbins, and B. J. Everitt, “Prefrontal cortical-ventral striatal interactions involved in affective modulation of attentional performance: implications for corticostriatal circuit function,” The Journal of Neuroscience, vol. 24, no. 4, pp. 773–780, 2004. View at Publisher · View at Google Scholar · View at Scopus
  30. B. Figner, D. Knoch, E. J. Johnson et al., “Lateral prefrontal cortex and self-control in intertemporal choice,” Nature Neuroscience, vol. 13, no. 5, pp. 538–539, 2010. View at Publisher · View at Google Scholar · View at Scopus
  31. A. Bechara and M. van der Linden, “Decision-making and impulse control after frontal lobe injuries,” Current Opinion in Neurology, vol. 18, no. 6, pp. 734–739, 2005. View at Publisher · View at Google Scholar · View at Scopus
  32. W. K. Bickel, M. L. Miller, R. Yi, B. P. Kowal, D. M. Lindquist, and J. A. Pitcock, “Behavioral and neuroeconomics of drug addiction: competing neural systems and temporal discounting processes,” Drug and Alcohol Dependence, vol. 90, no. 1, pp. S85–S91, 2007. View at Publisher · View at Google Scholar · View at Scopus
  33. A. Raine, T. Lencz, P. Yaralian et al., “Prefrontal structural and functional deficits in schizotypal personality disorder,” Schizophrenia Bulletin, vol. 28, no. 3, pp. 501–513, 2002. View at Publisher · View at Google Scholar · View at Scopus
  34. K. Matsuo, Y. Onodera, T. Hamamoto, K. Muraki, N. Kato, and T. Kato, “Hypofrontality and microvascular dysregulation in remitted late-onset depression assessed by functional near-infrared spectroscopy,” NeuroImage, vol. 26, no. 1, pp. 234–242, 2005. View at Publisher · View at Google Scholar · View at Scopus
  35. W. Sun and G. V. Rebec, “Repeated cocaine self-administration alters processing of cocaine-related information in rat prefrontal cortex,” Journal of Neuroscience, vol. 26, no. 30, pp. 8004–8008, 2006. View at Publisher · View at Google Scholar · View at Scopus
  36. G. Loewenstein, “Out of control: visceral influences on behavior,” Organizational Behavior and Human Decision Processes, vol. 65, no. 3, pp. 272–292, 1996. View at Publisher · View at Google Scholar · View at Scopus
  37. W. K. Bickel, J. A. Pitcock, R. Yi, and E. J. C. Angtuaco, “Congruence of BOLD response across intertemporal choice conditions: fictive and real money gains and losses,” Journal of Neuroscience, vol. 29, no. 27, pp. 8839–8846, 2009. View at Publisher · View at Google Scholar · View at Scopus