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The Role of Cognitive Control in Cocaine Dependence

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Abstract

While hedonic and reward-related processes are central to drug use and dependence, this article focuses on the contribution that cognitive processes may make to addiction. In particular, attention is drawn to those processes involved in exercising control over behavior as drug dependence is characterized by risky, impulsive behavior. Functional neuroimaging implicates prefrontal deficits in cocaine dependence with an emerging picture of cocaine users having attentional biases towards drug-related stimuli, poor performance in laboratory tests of inhibitory control, and compromised monitoring and evaluation of their behavior. Combined, these deficits may contribute to the continuation of use in dependent individuals and may qualify as important targets for therapeutic interventions.

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References

  • American Psychiatric Association (2000). Diagnostic and Statistical Manual of Mental Disorders (4th ed—text revision). Washington, DC: American Psychiatric Press.

    Google Scholar 

  • Ardila, A., Rosselli, M., & Strumwasser, S. (1991). Neuropsychological deficits in chronic cocaine abusers. International Journal of Neuroscience, 57(1–2), 73–79.

    Article  PubMed  CAS  Google Scholar 

  • Aron, A. R., Fletcher, P. C., Bullmore, E. T., Sahakian, B. J., & Robbins, T. W. (2003). Stop-signal inhibition disrupted by damage to right inferior frontal gyrus in humans. Nature Neuroscience, 6, 115–116.

    PubMed  CAS  Google Scholar 

  • Beatty, W. W., Katzung, V. M., Moreland, V. J., & Nixon S. J. (1995). Neuropsychological performance of recently abstinent alcoholics and cocaine abusers. Drug and Alcohol Dependence, 37, 247–253.

    PubMed  CAS  Google Scholar 

  • Bechara, A., Dolan, S., & Hindes, A. (2002). Decision-making and addiction (part II): Myopia for the future or hypersensitivity to reward? Neuropsychologia, 40, 1690–1705.

    PubMed  Google Scholar 

  • Berry, J., van Gorp, W. G., Herzberg, D. S., Hinkin, C., Boone, K., Steinman, L. et al. (1993). Neuropsychological deficits in abstinent cocaine abusers: preliminary findings after two weeks of abstinence. Drug and Alcohol Dependence, 32(3), 231–237.

    PubMed  CAS  Google Scholar 

  • Bjork, J. M., Smith, A. R., Danube, C. L., & Hommer, D. W. (2007). Developmental differences in posterior mesofrontal cortex recruitment by risky rewards. The Journal of Neuroscience, 27(18), 4839–4849.

    PubMed  CAS  Google Scholar 

  • Bolla, K., Ernst, M., Kiehl, K., Mouratidis, M., Eldreth, D., Contoreggi, C. et al. (2004). Prefrontal cortical dysfunction in abstinent cocaine abusers. Journal of Neuropsychiatry and Clinical Neurosciences, 16(4), 456–464.

    PubMed  Google Scholar 

  • Bolla, K. I., Eldreth, D. A., Matochik, J. A., & Cadet, J. L. (2005). Neural substrates of faulty decision-making in abstinent marijuana users. NeuroImage, 26, 480–492.

    PubMed  Google Scholar 

  • Botvinick, M. W., Carter, C. S., Braver, T. S., Barch, D. M., & Cohen, J. D. (2001). Conflict monitoring and cognitive control. Psychological Review, 108(3), 624–652.

    PubMed  CAS  Google Scholar 

  • Breiter, H. C., Gollub, R. L., Weisskoff, R. M., Kennedy, D. N., Makris, N., Berke, J. D. et al. (1997). Acute effects of cocaine on human brain activity and emotion. Neuron, 19(3), 591–611.

    PubMed  CAS  Google Scholar 

  • Brown, J. W., & Braver, T. S. (2005) Learned predictions of error likelihood in the anterior cingulate cortex. Science, 307, 1118–1121.

    PubMed  CAS  Google Scholar 

  • Bush, G., Luu, P., & Posner, M. I. (2000). Cognitive and emotional influences in anterior cingulate cortex. Trends in Cognitive Sciences, 4, 215–222.

    PubMed  Google Scholar 

  • Chambers, C. D., Bellgrove, M. A., Stokes, M. G., Henderson, T. R., Garavan, H., Robertson, I. H. et al. (2006). Executive ‘brake failure’ following deactivation of human frontal lobe. Journal of Cognitive Neuroscience, 18, 444–455.

    PubMed  Google Scholar 

  • Conrod, P. J., Pihl, R. O., Stewart, S. H., & Dongier, M. (2000). Validation of a system of classifying female substance abusers on the basis of personality and motivational risk factors for substance abuse. Psychology of Addictive Behaviors, 14(3), 243–256.

    PubMed  CAS  Google Scholar 

  • Cowan, N. (2001). An embedded-processes model of working memory. In A. Miyake & P. Shah (Eds.), Models of working memory (p. 62–101). Cambridge University Press: Cambridge.

    Google Scholar 

  • Courchesne, E., & Allen, G. (1997). Prediction and preparation, fundamental functions of the cerebellum. Learning Memory, 4, 1–35.

    PubMed  CAS  Google Scholar 

  • Cox, W. M., Hogan, L. M., Kristian, M. R., and Race, J. H. (2002). Alcohol attentional bias as a predictor of alcohol abusers’ treatment outcome. Drug and Alcohol Dependence, 68, 237–243.

    PubMed  Google Scholar 

  • Dackis, C. A., & O'Brien, C. P. (2001). Cocaine dependence: A disease of the brain’s reward centers. Journal of Substance Abuse Treatment, 21(3), 111–117.

    PubMed  CAS  Google Scholar 

  • Dagenbach, D. & Carr, T. (1994). Inhibitory processes in attention, memory, and language. New York: Academic.

    Google Scholar 

  • Dalley, J. W., Fryer, T. D., Brichard, L, Robinson, E. S. J., Theobald, D. E. H., Lääne, K. et al. (2007). Nucleus accumbens D2/3 receptors predict trait impulsivity and cocaine reinforcement. Science, 315, 1267–1270.

    PubMed  CAS  Google Scholar 

  • DeBettignies, B. H., Mahurin, R. K., & Pirozzolo, F. Z. (1990). Insight for impairment in independent living skills in Alzheimer’s disease and multi-infarct dementia. Journal of Clinical and Experimental Neuropsychology, 12(2), 355–363.

    PubMed  CAS  Google Scholar 

  • Dehaene, S., Posner, M. I., & Tucker, D. M. (1994). Localization of a neural system for error detection and compensation. Psychological Science, 5, 303–305.

    Google Scholar 

  • Desmond, J. E., Chen, S. H., DeRosa, E., Pryor, M. R., Pfefferbaum, A., & Sullivan, E. V. (2003). Increased frontocerebellar activation in alcoholics during verbal working memory: an fMRI study. NeuroImage, 19(4), 1510–1520.

    PubMed  Google Scholar 

  • Duka, T., & Townshend, J. M. (2004). The priming effect of alcohol pre-load on attentional bias to alcohol-related stimuli. Psychopharmacology (Berl), 176(3–4), 353–361.

    CAS  Google Scholar 

  • Eldreth, D. A., Matochik, J. A., Cadet, J. L., & Bolla, K. I. (2004). Abnormal brain activity in prefrontal brain regions in abstinent marijuana users. NeuroImage, 23(3), 914–920.

    PubMed  Google Scholar 

  • Everitt, B. J., & Robbins, T. W. (2005). Neural systems of reinforcement for drug addiction: from actions to habits to compulsion. Nature Neuroscience, 8(11), 1481–1489 [erratum in Nat Neurosci. 2006 Jul;9(7):979].

    PubMed  CAS  Google Scholar 

  • Feldstein, S. W., & Miller, W. R. (2006). Substance use and risk-taking among adolescents. Journal of Mental Health, 15(6), 633–643.

    Google Scholar 

  • Fillmore, M. T., & Rush, C. R. (2002). Impaired inhibitory control of behavior in chronic cocaine users. Drug and Alcohol Dependence, 66(3), 265–273.

    PubMed  Google Scholar 

  • Fillmore, M. T., Rush, C. R., & Hays, L. (2006). Acute effects of cocaine in two models of inhibitory control: Implications of non-linear dose effects. Addiction, 101(9), 1323–1332.

    PubMed  Google Scholar 

  • Fishbein, D. H., Eldreth, D. L., Hyde, C., Matochik, J. A., London, E. D., Contoreggi, C. et al. (2005). Risky decision making and the anterior cingulate cortex in abstinent drug abusers and nonusers. Cognitive Brain Research, 23, 119–136.

    PubMed  Google Scholar 

  • Forman, S. D., Dougherty, G. G., Casey, B. J., Siegle, G. J., Braver, T. S., Barch, D. M. et al. (2004). Opiate addicts lack error-dependent activation of rostral anterior cingulate. Biological Psychiatry, 55(5), 531–537.

    PubMed  CAS  Google Scholar 

  • Franken, I. H., Kroon, L. Y., Wiers, R. W., & Jansen, A. (2000). Selective cognitive processing of drug cues in heroin dependence. Journal of Psychopharmacology (Oxf), 14, 395–400.

    CAS  Google Scholar 

  • Franklin, T. R., Acton, P. D., Maldjian, J. A., Gray, J. D., Croft, J. R., Dackis, C. A. et al. (2002). Decreased gray matter concentration in the insular, orbitofrontal, cingulate, and temporal cortices of cocaine patients. Biological Psychiatry, 51, 134–142.

    PubMed  CAS  Google Scholar 

  • Garavan, H. (1998). Serial attention within working memory. Memory & Cognition, 26(2), 263–276.

    CAS  Google Scholar 

  • Garavan, H. & Stout, J. C. (2005). Neurocognitive insights into substance abuse. Trends in Cognitive Sciences, 9, 195–201.

    PubMed  Google Scholar 

  • Garavan, H., Ross, T. J., & Stein, E. A. (1999). Right hemispheric dominance of inhibitory control: An event-related fMRI study. Proceedings of the National Academy of Sciences, USA, 96(14), 8301–8306.

    CAS  Google Scholar 

  • Garavan, H., Pankiewicz, J., Bloom, A., Cho, J.-K., Sperry, L., Ross, T. J., et al. (2000). Cue-induced cocaine craving: Neuroanatomical specificity for drug users and drug stimuli. American Journal of Psychiatry, 157, 1789–1798.

    PubMed  CAS  Google Scholar 

  • Garavan, H., Hester, R., Murphy, K., Fassbender, C., & Kelly, C. (2006). Individual differences in the neuroanatomy of inhibitory control. Brain Research, 1105, 130–142.

    PubMed  CAS  Google Scholar 

  • Gibbs, S. E., & D’Esposito, M. (2005). Individual capacity differences predict working memory performance and prefrontal activity following dopamine receptor stimulation. Cognitive, Affective & Behavioral Neuroscience, 5(2), 212–221.

    Article  Google Scholar 

  • Goldstein, R. Z., & Volkow, N. D. (2002). Drug addiction and its underlying neurobiological basis: neuroimaging evidence for the involvement of the frontal cortex. American Journal of Psychiatry, 159, 1642–1652.

    PubMed  Google Scholar 

  • Goldstein, R. Z., Tomasi, D., Alia-Klein, N., Cottone, L. A., Zhang, L., Telang, F., et al. (2007a). Subjective sensitivity to monetary gradients is associated with frontolimbic activation to reward in cocaine abusers. Drug and Alcohol Dependence, 87(2–3), 233–240.

    Google Scholar 

  • Goldstein, R. Z., Tomasi, D., Rajaram, S., Cottone, L. A., Zhang, L., Maloney, T., et al. (2007b). Role of the anterior cingulate and medial orbitofrontal cortex in processing drug cues in cocaine addiction. Neuroscience, 144, 1153–1159.

    CAS  Google Scholar 

  • Grant, S., London, E. D., Newlin, D. B., Villemagne, V. L., Liu, X., Contoreggi, C., et al. (1996). Activation of memory circuits during cue-elicited cocaine craving. Proceedings of the National Academy of Sciences of the United States of America, 93, 12040–12045.

    PubMed  CAS  Google Scholar 

  • Grant, S., Contoreggi, C., & London, E. D. (2000). Drug abusers show impaired performance in a laboratory test of decision making. Neuropsychologia, 38, 1180–1187.

    PubMed  CAS  Google Scholar 

  • Guzy, L. T., & Axelrod, S. (1972). Interaural attention shifting as response. Journal of Experimental Psychology, 95, 290–294.

    PubMed  CAS  Google Scholar 

  • Hammer, R. P., Jr., Pires, W. S., Markou, A., & Koob, G. F. (1993). Withdrawal following cocaine self-administration decreases regional cerebral metabolic rate in critical brain reward regions. Synapse, 14(1), 73–80.

    PubMed  CAS  Google Scholar 

  • Hester, R., & Garavan, H. (2004). Executive dysfunction in cocaine addiction: Evidence for discordant frontal, cingulate and cerebellar activity. The Journal of Neuroscience, 24, 11017–11022.

    PubMed  CAS  Google Scholar 

  • Hester, R., Fassbender, C. & Garavan, H. (2004a). Individual differences in error processing: A review and meta-analysis of three event-related fMRI studies using the go/no-go task. Cerebral Cortex, 14(9), 966–973.

    Google Scholar 

  • Hester, R., Murphy, K., & Garavan, H. (2004b). Beyond common resources: the cortical basis for resolving task interference. NeuroImage, 23(1), 202–212.

    Google Scholar 

  • Hester, R., Dixon, V., & Garavan, H. (2006). The relationship between attentional bias for cocaine-related material and drug-seeking behavior in active cocaine users. Drug & Alcohol Dependence, 81, 251–257.

    CAS  Google Scholar 

  • Hester, R, Simões-Franklin, C., & Garavan, H. (2007). Post-error behavior in active cocaine users: poor awareness of errors in the presence of intact performance adjustments. Neuropsychopharmacology (in press) DOI 10.1038/sj.npp.1301326.

  • Hoff, A. L., Riordan, H., Morris, L., Cestaro, V., Wieneke, M., Alpert, R. et al. (1996). Effects of crack cocaine on neurocognitive function. Psychiatry Research, 60(2–3), 167–176.

    PubMed  CAS  Google Scholar 

  • Holman, B. L., Carvalho, P. A,. Mendelson, J., Teoh, S. K., Nardin, R., Hallgring, E. et al. (1991). Brain perfusion is abnormal in cocaine-dependent polydrug users: a study using technetium-99m-HMPAO and ASPECT. Journal of Nuclear Medicine, 32(6), 1206–1210.

    PubMed  CAS  Google Scholar 

  • Holroyd, C. B., & Coles, M. G. H. (2002) The neural basis of human error processing: reinforcement learning, dopamine, and the error-related negativity. Psychological Review, 109, 679–709.

    PubMed  Google Scholar 

  • Hoshi, R., Bisla, J., & Curran, H. V. (2004). The acute and sub-acute effects of ‘ecstasy’ (MDMA) on processing of facial expressions: preliminary findings. Drug and Alcohol Dependence, 76, 297–304.

    PubMed  CAS  Google Scholar 

  • Hyman, S. E. (2005). Addiction: A disease of learning and memory. American Journal of Psychiatry, 162, 1414–1422.

    PubMed  Google Scholar 

  • Johanson, C. E. & Fischman, M. W. (1989). The pharmacology of cocaine related to its abuse. Pharmacology Review, 41(1), 3–52.

    CAS  Google Scholar 

  • Kaufman, J., Ross, T. J., Stein, E. A., & Garavan, H. (2003). Cingulate hypoactivity in cocaine users during a go/no-go task as revealed by event-related fMRI. The Journal of Neuroscience, 23(21), 7839–7843.

    PubMed  CAS  Google Scholar 

  • Kelly, P. H., & Iversen, S. D. (1976). Selective 6OHDA-induced destruction of mesolimbic dopamine neurons: abolition of psychostimulant-induced locomotor activity in rats. European Journal of Pharmacology, 40(1), 45–56.

    PubMed  CAS  Google Scholar 

  • Konishi, S., Nakajima, K., Uchida, I., Kikyo, H., Kameyama, M., & Miyashita, Y. (1999). Common inhibitory mechanism in human inferior prefrontal cortex revealed by event-related functional MRI. Brain, 122, 981–991.

    PubMed  Google Scholar 

  • Kübler, A., Murphy, K., Kaufman, J., Stein, E. A., & Garavan, H. (2003). Co-ordination within and between verbal and visuospatial working memory: Network modulation and anterior frontal recruitment. NeuroImage, 20, 1298–1308.

    PubMed  Google Scholar 

  • Kübler, A., Murphy, K., & Garavan, H. (2005). Cocaine dependence and attention switching within and between verbal and visuospatial working memory. European Journal of Neuroscience, 21, 1984–1992.

    PubMed  Google Scholar 

  • Lawrence, N. S., Ross, T. J., & Stein, E. A. (2002). Cognitive mechanisms of nicotine on visual attention. Neuron, 36, 539–548.

    PubMed  CAS  Google Scholar 

  • Lee, T. M. C., Zhou, W., Luo, X., Yuen, K. S. L., Ruane, X., & Weng, X. (2005). Neural activity associated with cognitive regulation in heroin users: A fMRI study. Neuroscience Letters, 382, 211–216.

    PubMed  CAS  Google Scholar 

  • Li, C. s. R., Milivojevic, V., Kemp, K., Hong, K., & Sinha, R. (2006). Performance monitoring and stop signal inhibition in abstinent patients with cocaine dependence. Drug and Alcohol Dependence, 85(3), 205–212.

    PubMed  CAS  Google Scholar 

  • Liddle, P. F., Friston, K. J., Frith, C. D., Hirsch, S. R., Jones, T., & Frackowiak, R. S. (1992). Patterns of cerebral blood flow in schizophrenia. British Journal of Psychiatry, 160, 179–186.

    PubMed  CAS  Google Scholar 

  • Liddle, P. F., Kiehl, K. A., & Smith, A. M. (2001). Event-related fMRI study of response inhibition. Human Brain Mapping, 12(2), 100–109.

    PubMed  CAS  Google Scholar 

  • Logan G. D., & Cowan W. B. (1984). On the ability to inhibit thought and action: a theory of an act of control. Psychological Review, 91, 295–327.

    Google Scholar 

  • Lusher, J., Chandler, C., & Ball, D. (2004). Alcohol dependence and the alcohol Stroop paradigm: Evidence and issues. Drug Alcohol Depend, 75, 225–231.

    PubMed  CAS  Google Scholar 

  • MacDonald, A. W. III, Cohen, J. D., Stenger, V. A., & Carter, C. S. (2000). Dissociating the role of the dorsolateral prefrontal and anterior cingulate cortex in cognitive control. Science, 288(5472), 1835–1838.

    PubMed  CAS  Google Scholar 

  • Magno, E., Foxe, J. J., Molholm, S., Robertson, I., & Garavan, H. (2006). The anterior cingulate and error avoidance. The Journal of Neuroscience, 26(18), 4769–4773.

    PubMed  CAS  Google Scholar 

  • Matochik, J. A., London, E. D., Eldreth, D. A., Cadet, J. L. & Bolla, K.I. (2003). Frontal cortical tissue composition in abstinent cocaine abusers: a magnetic resonance imaging study. Neuroimage, 19, 1095–1102.

    PubMed  Google Scholar 

  • Menon, V., Adleman, N. E., White, C. D., Glover, G. H., & Reiss, A. L. (2001). Error-related brain activation during a go/no-go response inhibition task. Human Brain Mapping, 12(3), 131–143.

    PubMed  CAS  Google Scholar 

  • Mogenson, G. J., Jones, D. L., & Yim, C. Y. (1980). From motivation to action: functional interface between the limbic system and the motor system. Progress in Neurobiology, 14(2–3), 69–97.

    PubMed  CAS  Google Scholar 

  • Monsell, S. (2003). Task switching. Trends in Cognitive Sciences, 7(3), 134–141.

    PubMed  Google Scholar 

  • Mostofsky, S. H., Schafer J. G., Abrams, M. T., Goldberg, M. C., Flower, A. A., Boyce, A., Courtney, S. M., Calhoun, V. D., Kraut, M. A., Denckla, M. B., & Pekar, J. J. (2003). fMRI evidence that the neural basis of response inhibition is task-independent. Cognitive Brain Research, 17, 419–430.

    PubMed  Google Scholar 

  • O'Malley, S. S., & Gawin, F. H. (1990). Abstinence symptomatology and neuropsychological impairment in chronic cocaine abusers. NIDA Research Monographs, 101, 179–190.

    Google Scholar 

  • Ott, B.R., Lafleche, G., Whelihan, W. M., Buongiorno, G. W., Albert, M. S., & Fogel, B. S. (1996). Impaired awareness of deficits in Alzheimer disease. Alzheimer Disease and Associated Disorders, 10(2), 68–76.

    PubMed  CAS  Google Scholar 

  • Pascual-Leone, A., Dhuna, A., & Anderson, D. C. (1991). Cerebral atrophy in habitual cocaine abusers: A planimetric CT study. Neurology, 41(1), 34–38.

    PubMed  CAS  Google Scholar 

  • Paulus, M. P., & Lawrence, R. (2006). Anterior cingulate activity modulates nonlinear decision weight function of uncertain prospects. NeuroImage, 30, 668–677.

    PubMed  Google Scholar 

  • Paulus, M. P., Tapert, S. F., & Schuckit, M. A. (2005). Neural activation patterns of methamphetamine-dependent subjects during discussion making predict relapse. Archives of General Psychiatry, 62(7), 761–768.

    PubMed  Google Scholar 

  • Peralta, V., & Cuesta, M. J., (1998). Lack of insight in mood disorders. Journal of Affective Disorders, 49(1), 55–58.

    PubMed  CAS  Google Scholar 

  • Pope, H. G, Jr, Gruber, A. J., Hudson, J. I., Huestis, M. A., & Yurgelun-Todd, D. (2001) Neuropsychological performance in long-term cannabis users. Archives of General Psychiatry, 58, 195–909.

    Google Scholar 

  • Porrino, L. J., Domer, F. R., Crane, A. M., & Sokoloff, L. (1998). Selective alterations in cerebral metabolism within the mesocorticolimbic dopaminergic system produced by acute cocaine administration in rats. Neuropsychopharmacology, 1(2), 109–118.

    Google Scholar 

  • Rezvani, A. H., & Levin, E. D. (2001). Cognitive effects of nicotine. Biological Psychiatry, 49, 258–267.

    PubMed  CAS  Google Scholar 

  • Ridderinkhof, K. R., de Vlugt, Y., Bramlage, A., Spaan, M., Elton, M., Snel, J. et al. (2002). Alcohol consumption impairs detection of performance errors in mediofrontal cortex. Science, 298(5601), 2209–2211.

    PubMed  CAS  Google Scholar 

  • Ritz, M. C., Cone, E. J., & Kuhar, M. J. (1990). Cocaine inhibition of ligand binding at dopamine, norepinephrine and serotonin transporters: A structure-activity study. Life Sciences, 46(9), 635–645.

    PubMed  CAS  Google Scholar 

  • Robinson, T. E., & Berridge, K. C. (2003). Addiction. Annual Review of Psychology, 54, 25–53.

    PubMed  Google Scholar 

  • Rosselli, M. & Ardila, A. (1996). Cognitive effects of cocaine and polydrug abuse. Journal of Clinical and Experimental Neuropsychology, 18(1), 122–135.

    PubMed  CAS  Google Scholar 

  • Rubia, K., Smith, A. B., Brammer, M. J., & Taylor, E. (2003). Right inferior prefrontal cortex mediates response inhibition while mesial prefrontal cortex is responsible for error detection. NeuroImage, 20(1), 351–358.

    PubMed  Google Scholar 

  • Ryan, F. (2006). Appetite lost and found: Cognitive psychology in the addiction clinic. In M. Munafo & I. Albery (Eds.), Cognition and addiction. Oxford University Press: Oxford.

    Google Scholar 

  • Schultz, W., Dayan, P., & Montague, P. R. (1997). A neural substrate of prediction and reward. Science, 275, 1593–1599.

    PubMed  CAS  Google Scholar 

  • Solowij, N., Stephens, R., Roffman, R. A., & Babor, T. (2002). Does marijuana use cause long-term cognitive deficits? JAMA, 287(20), 2653–2654.

    PubMed  Google Scholar 

  • Stout, J. C., Rock, S. L., Campbell, M. C., Busemeyer, J. R., & Finn, P. R. (2005). Psychological processes underlying risky decisions in drug abusers. Psychology of Addictive Behaviors, 19(2), 148–157.

    PubMed  Google Scholar 

  • Strickland, T. L., Mena, I., Villanueva-Meyer, J., Miller, B. L., Cummings, J., Mehringer, C. M. et al. (1993). Cerebral perfusion and neuropsychological consequences of chronic cocaine use. Journal of Neuropsychiatry and Clinical Neurosciences, 5(4), 419–427.

    PubMed  CAS  Google Scholar 

  • Tarter, R. E., Kirisci, L., Mezzich, A., Cornelius, J. R., Pajer, K., Vanyukov, M. et al. (2003). Neurobehavioral disinhibition in childhood predicts early age at onset of substance use disorder. American Journal of Psychiatry, 160, 1078–1085.

    PubMed  Google Scholar 

  • Teasdale, J. D., Moore, R. G., Hayhurst, H., Pope, M., Williams, S., & Segal, Z. V. (2002). Metacognitive awareness and prevention of relapse in depression: empirical evidence. Journal of Consulting and Clinical Psychology, 70(2), 275–287.

    PubMed  Google Scholar 

  • Volkow, N. D., Fowler, J. S, Wolf, A. P, Hitzemann, R., Dewey, S., Bendriem, B. et al. (1991). Changes in brain glucose metabolism in cocaine dependence and withdrawal. American Journal of Psychiatry, 148(5), 621–626.

    PubMed  CAS  Google Scholar 

  • Volkow, N. D., Hitzemann, R., Wang, G. J., Fowler, J. S., Wolf, A. P., Dewey, S. L. et al. (1992). Long-term frontal brain metabolic changes in cocaine abusers. Synapse, 11(3), 184–190.

    PubMed  CAS  Google Scholar 

  • Volkow, N. D., Fowler, J. S., Wang, G.-J., Hitzemann, R., Logan, J., Schlyer, D. et al. (1993). Decreased dopamine D2 receptor availability is associated with reduced frontal metabolism in cocaine abusers. Synapse, 14, 169–177.

    PubMed  CAS  Google Scholar 

  • Volkow, N. D., Wang, G.-J., Fowler, J. S., Logan, J., Gatley, S. J., Gifford, A. et al. (1999). Prediction of reinforcing responses to psychostimulants in humans by brain dopamine D2 receptor levels. American Journal of Psychiatry, 156, 1440–1443.

    PubMed  CAS  Google Scholar 

  • Waters, A. J., Shiffman, S., Sayette, M. A., Paty, J. A., Gwaltney, C. J., & Balabanis, M. H. (2003). Attentional bias predicts outcome in smoking cessation. Health Psychol, 22, 378–387.

    PubMed  Google Scholar 

  • Wertz, J. M., & Sayette, M. A. (2001). Effects of smoking opportunity on attentional bias in smokers. Psychology of Addictive Behaviors, 15, 268–271.

    PubMed  CAS  Google Scholar 

  • Wrase, J. Schlagenhauf, F., Kienast, T., Wustenberg, T., Bermpohl, F., Kahnt, T. et al. (2007). Dysfunction of reward processing correlates with alcohol craving in detoxified alcoholics. NeuroImage, 35(2), 787–794.

    PubMed  Google Scholar 

  • Yucel, M., & Lubman, D. I. (2007). Neurocognitive and neuroimaging evidence of behavioral dysregulation in human drug addiction: implications for diagnosis, treatment and prevention. Drug and Alcohol Review, 26, 33–39.

    PubMed  Google Scholar 

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  1. School of Psychology and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland

    Hugh Garavan

  2. Trinity College Institute of Neuroscience, 3.48 Lloyd Building, Trinity College, Dublin 2, Ireland

    Hugh Garavan

  3. Queensland Brain Institute and School of Psychology, University of Queensland, St Lucia, Queensland, 4072, Australia

    Robert Hester

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Garavan, H., Hester, R. The Role of Cognitive Control in Cocaine Dependence. Neuropsychol Rev 17, 337–345 (2007). https://doi.org/10.1007/s11065-007-9034-x

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