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7 - Probes of Behaviour Regulation: Olfactory Models in Addiction

from Section I - Neurology, Neurophysiology and Neuropsychology: Olfactory Clues to Brain Development and Disorder

Published online by Cambridge University Press:  17 August 2009

Warrick J. Brewer
Affiliation:
Mental Health Research Institute of Victoria, Melbourne
David Castle
Affiliation:
University of Melbourne
Christos Pantelis
Affiliation:
University of Melbourne
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Summary

The utility of olfactory probes for understanding disorders involving orbitofrontal compromise has been outlined in Chapter 6. In this chapter, we discuss how such investigations may also be applied to addiction, where current neurobiological models implicate dysfunction within the orbitofrontal cortex (OFC) as a core underlying feature (Lubman et al., 2004). Hence, the focus of the chapter is not on olfaction per se, but more broadly upon compromise of OFC structure and function. The aim is to model one example of how olfactory testing could be applied to investigations of OFC function and related behavioural outcomes. Specifically, we discuss how abnormalities within the OFC and associated limbic pathways may perpetuate substance use disorders (SUD), as well as having a potential causal role in the development of SUD in at-risk youth. The utility of olfaction in mapping adolescent prefrontal development is also described, with particular reference to impulse control, disinhibition, compulsion and other aspects of decision-making that are mediated by orbitofrontal processes.

Drug use in young people

Adolescence is a period of significant change, encompassing the transition from total dependence on parents to relative independence. To navigate this journey successfully, the young person must develop a number of core skills necessary for adulthood, as well as negotiate a series of emotional and social hurdles. Whilst several characteristic adolescent behaviours (such as increased risk-taking, novelty-seeking and peer-directed social interactions) are frequently blamed on modern youth culture, researchers now recognise that these behaviours are also prominent in other adolescent mammals.

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Publisher: Cambridge University Press
Print publication year: 2006

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References

Arnett, J. (1992) Reckless behavior in adolscence: a developmental perspective. Dev Rev, 12, 339–73.Google Scholar
Bartzokis, G., Beckson, M., Lu, P. H., et al. (2002) Brain maturation may be arrested in chronic cocaine addicts. Biol Psychiatry, 51, 605–11.Google Scholar
Bartzokis, G., Beckson, M., Lu, P. H., et al. (2004) Cortical gray matter volumes are associated with subjective responses to cocaine infusion. Am J Addict, 13, 64–73.Google Scholar
Bechara, A. & Damasio, H. (2002) Decision-making and addiction (part I): impaired activation of somatic states in substance dependent individuals when pondering decisions with negative future consequences. Neuropsychologia, 40, 1675–89.Google Scholar
Bechara, A., Damasio, A. R., Damasio, H., et al. (1994) Insensitivity to future consequences following damage to human prefrontal cortex. Cognition, 50, 7–15.Google Scholar
Bechara, A., Damasio, H., Tranel, D., et al. (1997) Deciding advantageously before knowing the advantageous strategy. Science, 275, 1293–5.Google Scholar
Bechara, A., Dolan, S., Denburg, N., et al. (2001) Decision-making deficits, linked to a dysfunctional ventromedial prefrontal cortex, revealed in alcohol and stimulant abusers. Neuropsychologia, 39, 376–89.Google Scholar
Block, J. & Shelder, J. (1990) Adolescent drug use and psychological health: a longitudinal enquiry. Am Psychologist, 45, 612–30.Google Scholar
Breiter, H. C., Gollub, R. L., Weisskoff, R. M., et al. (1997) Acute effects of cocaine on human brain activity and emotion. Neuron, 19, 591–611.Google Scholar
Butter, C. M. (1969) Perseveration in extinction and in discrimination reversal tasks following selective prefrontal ablations in Macaca mulatta. Physiol Behav, 4, 163–71.Google Scholar
Casey, B. J., Giedd, J. N. & Thomas, K. M. (2000) Structural and functional brain development and its relation to cognitive development. Biol Psychol, 54, 241–57.Google Scholar
Childress, A. R., Mozley, P. D., McElgin, W., et al. (1999) Limbic activation during cue-induced cocaine craving. Am J Psychiatry, 156, 11–18.Google Scholar
Cloninger, C. R., Sigvardsson, S. & Bohman, M. (1998) Childhood personality predicts alcohol abuse in young adults. Alcohol Clin Exp Res, 12, 494–505.Google Scholar
Daglish, M. R., Weinstein, A., Malizia, A. L., et al. (2001) Changes in regional cerebral blood flow elicited by craving memories in abstinent opiate-dependent subjects. Am J Psychiatry, 158, 1680–6.Google Scholar
Dawe, S., Gullo, M. J. & Loxton, N. J. (2004) Reward drive and rash impulsiveness as dimensions of impulsivity: implications for substance misuse. Addict Behav, 29, 1389–405.Google Scholar
Bellis, M. D., Clark, D. B., Beers, S. R., et al. (2000) Hippocampal volume in adolescent-onset alcohol use disorders. Am J Psychiatry, 157, 737–44.Google Scholar
Dias, R., Robbins, T. W. & Roberts, A. C. (1996) Dissociation in prefrontal cortex of affective and attentional shifts. Nature, 380, 69–72.Google Scholar
Ehrenreich, H., Rinn, T., Kunert, H. J., et al. (1999) Specific attentional dysfunction in adults following early start of cannabis use. Psychopharmacology (Berl), 142, 295–301.Google Scholar
Elliott, R., Friston, K. J. & Dolan, R. J. (2000) Dissociable neural responses in human reward systems. J Neurosci, 20, 6159–65.Google Scholar
Everitt, B. J., Dickinson, A. & Robbins, T. W. (2001a) The neuropsychological basis of addictive behaviour. Brain Res Brain Res Rev, 36, 129–38.Google Scholar
Everitt, B. J., Dickinson, A. & Robbins, T. W. (2001b) The neuropsychological basis of addictive behaviour review. Brain Res Brain Res Rev, 36, 129–38.Google Scholar
Franklin, T. R., Acton, P. D., Maldjian, J. A., et al. (2002) Decreased gray matter concentration in the insular, orbitofrontal, cingulate, and temporal cortices of cocaine patients. Biol Psychiatry, 51, 134–42.Google Scholar
Garavan, H., Pankiewicz, J., Bloom, A., et al. (2000) Cue-induced cocaine craving: neuroanatomical specificity for drug users and drug stimuli. Am J Psychiatry, 157, 1789–98.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. Am J Psychiatry, 159, 1642–52.Google Scholar
Grant, S., Contoreggi, C. & London, E. D. (2000) Drug abusers show impaired performance in a laboratory test of decision making. Neuropsychologia, 38, 1180–7.Google Scholar
Grant, S., London, E. D., Newlin, D. B., et al. (1996) Activation of memory circuits during cue-elicited cocaine craving. Proc Natl Acad Sci USA, 93, 12040–5.Google Scholar
Henderson, M. J., Galen, L. W. & DeLuca, J. W. (1998) Temperament style and substance abuse characteristics. Subst Abus, 19, 61–70.Google Scholar
Horn, N. R., Dolan, M. C., Elliot, R., et al. (2003) Response inhibition and impulsivity: an fMRI study. Neuropsychologia, 41, 1959–66.Google Scholar
Jentsch, J. D. & Taylor, J. R. (1999) Impulsivity resulting from frontostriatal dysfunction in drug abuse: implications for the control of behavior by reward-related stimuli. Psychopharmacology (Berl), 146, 373–90.Google Scholar
Johnston, L. D., O'Malley, P. M. & Bachman, J. G. (2002) Monitoring the future national results on adolescent drug use: Overview of Key Findings, 2001. p. 39. U.S. Department of Health and Human Services Public Health Service National Institutes of Health.
Krawczyk, D. C. (2002) Contributions of the prefrontal cortex to the neural basis of human decision making. Neurosci Biobehav Rev, 26, 631–64.Google Scholar
Kubota, M., Nakazaki, S., Hirai, S., et al. (2001) Alcohol consumption and frontal lobe shrinkage: study of 1432 non-alcoholic subjects. J Neurol Neurosurg Psychiatry, 71, 104–6.Google Scholar
Larsson, M., Finkel, D. & Pederson, N. L. (2000) Odor identification: Influences of age, gender cognition and personality. J Gerontology, 55B (5), 304–10.Google Scholar
Liu, X., Matochik, J. A., Cadet, J. L., et al. (1998) Smaller volume of prefrontal lobe in polysubstance abusers: a magnetic resonance imaging study. Neuropsychopharmacology, 18, 243–52.Google Scholar
London, E. D., Cascella, N. G., Wong, D. F., et al. (1990) Cocaine-induced reduction of glucose utilization in human brain. A study using positron emission tomography and [fluorine 18]–fluorodeoxyglucose. Arch Gen Psychiatry, 47, 567–74.Google Scholar
Lubman, D. I., Yucel, M. & Pantelis, C. (2004) Addiction, a condition of compulsive behaviour? Neuroimaging and neuropsychological evidence of inhibitory dysregulation. Addiction, 99, 1491–502.Google Scholar
Maas, L. C., Lukas, S. E., Kaufman, M. J., et al. (1998) Functional magnetic resonance imaging of human brain activation during cue-induced cocaine craving. Am J Psychiatry, 155, 124–6.Google Scholar
Matochik, J. A., London, E. D., Eldreth, D. A., et al. (2003) Frontal cortical tissue composition in abstinent cocaine abusers: a magnetic resonance imaging study. Neuroimage, 19, 1095–102.Google Scholar
McGue, M., Iacono, W. G., Legrand, L. N., et al. (2001) Origins and consequences of age at first drink. I. Associations with substance-use disorders, disinhibitory behavior and psychopathology, and P3 amplitude. Alcohol Clin Exp Res, 25, 1156–65.Google Scholar
Petry, N. M. (2001) Substance abuse, pathological gambling, and impulsiveness. Drug Alcohol Depend, 63, 29–38.Google Scholar
Petry, N. M., Bickel, W. K. & Arnett, M. (1998) Shortened time horizons and insensitivity to future consequences in heroin addicts. Addiction, 93, 729–38.Google Scholar
Pfefferbaum, A., Sullivan, E. V., Mathalon, D. H., et al. (1997) Frontal lobe volume loss observed with magnetic resonance imaging in older chronic alcoholics. Alcohol Clin Exp Res, 21, 521–9.Google Scholar
Pope, H. G. Jr., Gruber, A. J., Hudson, J. I., et al. (2003) Early-onset cannabis use and cognitive deficits: what is the nature of the association?Drug Alcohol Depend, 69, 303–10.Google Scholar
Pujol, J., Soriano-Mas, C., Alonso, P., et al. (2004) Mapping structural brain alterations in obsessive-compulsive disorder. Arch Gen Psychiatry, 61, 720–30.Google Scholar
Robinson, T. E. & Berridge, K. C. (2000) The psychology and neurobiology of addiction: an incentive-sensitization view. Addiction, 95 (Suppl 2), S91–S117.Google Scholar
Rogers, R. D., Everitt, B. J., Baldacchino, A., et al. (1999a) Dissociable deficits in the decision-making cognition of chronic amphetamine abusers, opiate abusers, patients with focal damage to prefrontal cortex, and tryptophan-depleted normal volunteers: evidence for monoaminergic mechanisms. Neuropsychopharmacology, 20, 322–39.Google Scholar
Rogers, R. D., Owen, A. M., Middleton, H. C., et al. (1999b) Choosing between small, likely rewards and large, unlikely rewards activates inferior and orbital prefrontal cortex. J Neurosci, 19, 9029–38.Google Scholar
Rolls, E. T., Hornak, J., Wade, D., et al. (1994) Emotion-related learning in patients with social and emotional changes associated with frontal lobe damage. J Neurol Neurosurg Psychiatry, 57, 1518–24.Google Scholar
Rupp, C. I., Kurz, M., Kemmler, G., et al. (2003) Reduced olfactory sensitivity, discrimination, and identification in patients with alcohol dependence. Alcohol Clin Exp Res, 27, 432–9.Google Scholar
Slotkin, T. A. (2002) Nicotine and the adolescent brain: insights from an animal model. Neurotoxicol Teratol, 24, 369–84.Google Scholar
Spear, L. P. (2000) The adolescent brain and age-related behavioral manifestations. Neurosci Biobehav Rev, 24, 417–63.Google Scholar
Tarter, R. E. (2002) Etiology of adolescent substance abuse: a developmental perspective. Am J Addict, 11, 171–91.Google Scholar
Tarter, R., Vanyukov, M., Giancola, P., et al. (1999) Etiology of early age onset substance use disorder: a maturational perspective. Dev Psychopathol, 11, 657–83.Google Scholar
Volkow, N. D. & Fowler, J. S. (2000) Addiction, a disease of compulsion and drive: involvement of the orbitofrontal cortex. Cereb Cortex, 10, 318–25.Google Scholar
Volkow, N. D., Mullani, N., Gould, K. L., et al. (1988) Cerebral blood flow in chronic cocaine users: a study with positron emission tomography. Br J Psychiatry, 152, 641–8.Google Scholar
Volkow, N. D., Fowler, J. S., Wolf, A. P., et al. (1991) Changes in brain glucose metabolism in cocaine dependence and withdrawal. Am J Psychiatry, 148, 621–6.Google Scholar
Volkow, N. D., Hitzemann, R., Wang, G. J., et al. (1992) Long-term frontal brain metabolic changes in cocaine abusers. Synapse, 11, 184–90.Google Scholar
Volkow, N. D., Gillespie, H., Mullani, N., et al. (1996) Brain glucose metabolism in chronic marijuana users at baseline and during marijuana intoxication. Psychiatry Res, 67, 29–38.Google Scholar
Volkow, N. D., Wang, G. -J., Overall, J. E., et al. (1997) Regional brain metabolic response to lorazepam in alcoholics during early and late alcohol detoxification. Alcohol Clin Exp Res, 21, 1278–84.Google Scholar
Volkow, N. D., Wang, G. J., Fowler, J. S., et al. (1999) Association of methylphenidate-induced craving with changes in right striato-orbitofrontal metabolism in cocaine abusers: implications in addiction. Am J Psychiatry, 156, 19–26.Google Scholar
Wang, G. J., Volkow, N. D., Fowler, J. S., et al. (1999) Regional brain metabolic activation during craving elicited by recall of previous drug experiences. Life Sci, 64, 775–84.Google Scholar
White, V. (2001a) Australian secondary students' use of alcohol in 1999. Report Monograph Series No. 45.Canberra: National Drug Strategy Unit Commonwealth Department of Health and Aged Care.
White, V. (2001b) Australian secondary students' use of over-the-counter and illicit substances in 1999. Report Monograph series no. 46. Canberra: National Drug Strategy unit, Commonwealth Department of Health and Aged Care.
Wilson, W., Mathew, R., Turkington, T., et al. (2000) Brain morphological changes and early marijuana use: a magnetic resonance and positron emission tomography study. J Addict Dis, 19, 1–22.Google Scholar

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