Cognitive Neuroscience Approaches to Understanding Behavior Change in Alcohol Use Disorder Treatments

Nasir H Naqvi, Jon Morgenstern, Nasir H Naqvi, Jon Morgenstern

Abstract

Researchers have begun to apply cognitive neuroscience concepts and methods to study behavior change mechanisms in alcohol use disorder (AUD) treatments. This review begins with an examination of the current state of treatment mechanisms research using clinical and social psychological approaches. It then summarizes what is currently understood about the pathophysiology of addiction from a cognitive neuroscience perspective. Finally, it reviews recent efforts to use cognitive neuroscience approaches to understand the neural mechanisms of behavior change in AUD, including studies that use neural functioning to predict relapse and abstinence; studies examining neural mechanisms that operate in current evidence-based behavioral interventions for AUD; as well as research on novel behavioral interventions that are being derived from our emerging understanding of the neural and cognitive mechanisms of behavior change in AUD. The article highlights how the regulation of subcortical regions involved in alcohol incentive motivation by prefrontal cortical regions involved in cognitive control may be a core mechanism that plays a role in these varied forms of behavior change in AUD. We also lay out a multilevel framework for integrating cognitive neuroscience approaches with more traditional methods for examining AUD treatment mechanisms.

Figures

Figure 1
Figure 1
A potential common mechanism for alcohol use disorder (AUD) treatments. A number of studies suggest that AUD treatments elicit behavior change by increasing the regulation of brain regions that mediate incentive motivation, such as the ventral striatum, by prefrontal cortical regions that mediate cognitive control. Arrows denote expected changes in specific neural, behavioral, psychophysiological and clinical outcome measures, given this hypothesized treatment mechanism. PFC = prefrontal cortex. VS = ventral striatum.
Figure 2
Figure 2
Predicted results from experiments directed at addressing the role of neural systems in alcohol use disorder (AUD) treatment mechanisms. (A) An active treatment should increase the neural parameters that index the functioning of these systems as it relates to a specific psychological process of interest (the experimental task). There should be no effect of the control treatment on these neural parameters. (B) The effects of a treatment on the neural parameter should mediate the effects of the treatment on clinical outcome. (C) Changes (Δ) in the neural parameters from pre- to posttreatment should correlate with corresponding changes in self-report measures that index psychological processes already known to drive behavior change.

References

    1. Anton RF, O’Malley SS, Ciraulo DA, et al. Combined pharmacotherapies and behavioral interventions for alcohol dependence: The COMBINE Study: A randomized controlled trial. JAMA. 2006;295(17):2003–2017.
    1. Apodaca TR, Longabaugh R. Mechanisms of change in motivational interviewing: A review and preliminary evaluation of the evidence. Addiction. 2009;104(5):705–715.
    1. Bechara A, Damasio H. Decision-making and addiction (part I): Impaired activation of somatic states in substance dependent individuals when pondering decisions with negative future consequences. Neuropsychologia. 2002;40(10):1675–1689.
    1. Bechara A, Dolan S, Hindes A. Decision-making and addiction (Part II): Myopia for the future or hyper-sensitivity to reward? Neuropsychologia. 2002;40(10):1690–1705.
    1. Braus DF, Wrase J, Grusser S, et al. Alcohol-associated stimuli activate the ventral striatum in abstinent alcoholics. Journal of Neural Transmission. 2001;108(7):887–894.
    1. Camchong J, Stenger A, Fein G. Resting-state synchrony during early alcohol abstinence can predict subsequent relapse. Cerebral Cortex. 2013;23(9):2086–2099.
    1. Cardenas VA, Durazzo TC, Gazdzinski S, et al. Brain morphology at entry into treatment for alcohol dependence is related to relapse propensity. Biological Psychiatry. 2011;70(6):561–567.
    1. DeVito EE, Worhunsky PD, Carroll KM, et al. A preliminary study of the neural effects of behavioral therapy for substance use disorders. Drug and Alcohol Dependence. 2012;122(3):228–235.
    1. Durazzo TC, Tosun D, Buckley S, et al. Cortical thickness, surface area, and volume of the brain reward system in alcohol dependence: Relationships to relapse and extended abstinence. Alcoholism: Clinical and Experimental Research. 2011;35(6):1187–1200.
    1. Ersche KD, Jones PS, Williams GB, et al. Abnormal brain structure implicated in stimulant drug addiction. Science. 2012;335(6068):601–604.
    1. Everitt BJ, Robbins TW. Neural systems of reinforcement for drug addiction: From actions to habits to compulsion. Nature Neuroscience. 2005;8(11):1481–1489.
    1. Feldstein Ewing SW, Filbey FM, Sabbineni A, et al. How psychosocial alcohol interventions work: A preliminary look at what fMRI can tell us. Alcoholism: Clinical and Experimental Research. 2011;35(44):643–651.
    1. Field M, Christiansen P, Cole J, Goudie A. Delay discounting and the alcohol Stroop in heavy drinking adolescents. Addiction. 2007;102(4):579–586.
    1. Goldstein RZ, Leskovjan AC, Hoff AL, et al. Severity of neuropsychological impairment in cocaine and alcohol addiction: Association with metabolism in the prefrontal cortex. Neuropsychologia. 42(11):1447–1458.
    1. Grusser SM, Wrase J, Klein S, et al. Cue-induced activation of the striatum and medial prefrontal cortex is associated with subsequent relapse in abstinent alcoholics. Psychopharmocology. 2004;175(3):296–302.
    1. Heinz A, Wrase J, Kahnt T, et al. Brain activation elicited by affectively positive stimuli is associated with a lower risk of relapse in detoxified alcoholic subjects. Alcoholism: Clinical and Experimental Research. 2007;31(7):1138–1147.
    1. Houben K, Wiers RW, Jansen A. Getting a grip on drinking behavior: Training working memory to reduce alcohol abuse. Psychological Science. 2011b;22(7):968–975.
    1. Houben K, Nederkoorn C, Wiers RW, Jansen A. Resisting temptation: Decreasing alcohol-related affect and drinking behavior by training response inhibition. Drug and Alcohol Dependence. 2011a;116(1–3):132–136.
    1. Huebner RB, Tonigan JS. The search for mechanisms of behavior change in evidence-based behavioral treatments for alcohol use disorders: Overview. Alcoholism: Clinical and Experimental Research. 2007;31(10 Suppl):1s–3s.
    1. Johnson BA, Rosenthal N, Capece JA, et al. Topiramate for treating alcohol dependence: A randomized controlled trial. JAMA. 2007;298(14):1641–1651.
    1. Kazdin AE. Mediators and mechanisms of change in psychotherapy research. Annual Review of Clinical Psychology. 2007;3:1–27.
    1. Kazdin AE, Nock MK. Delineating mechanisms of change in child and adolescent therapy: Methodological issues and research recommendations. Journal of Child Psychology and Psychiatry, and Allied Disciplines. 2003;44(8):1116–1129.
    1. Kelly JF, Stout RL, Greene MC, Slaymaker V. Young adults, social networks, and addiction recovery: Post treatment changes in social ties and their role as a mediator of 12-step participation. PLoS One. 2014;9(6):e100121.
    1. Kober H, Mende-Siedlecki P, Kross EF, et al. Prefrontal-striatal pathway underlies cognitive regulation of craving. Proceedings of the National Academy of Sciences of the United States of America. 2010;107(33):14811–14816.
    1. Koob GF, LeMoal M. Drug addiction, dysregulation of reward, and allostasis. Neuropsychopharmacology. 2001;24(2):97–129.
    1. Li CS, Luo X, Yan P, et al. Altered impulse control in alcohol dependence: Neural measures of stop signal performance. Alcoholism: Clinical and Experimental Research. 2009;33(4):740–750.
    1. Longabaugh R, McGill M, Morgenstern J, Huebner RB. Mechanisms of change in behavioral treatments for addictions. In: McCrady E, editor. Addictions: A Comprehensive Guidebook. New York: Oxford University Press; 2013. pp. 572–596.
    1. Magill M, Longabaugh R. Efficacy combined with specified ingredients: A new direction for empirically supported addiction treatment. Addiction. 2013;108(5):874–881.
    1. McKay JR. Treating Substance Use Disorders With Adaptive Continuing Care. 1st ed. Washington, DC: American Psychological Association; 2009.
    1. Miller WR, Rose GS. Toward a theory of motivational interviewing. American Psychologist. 2009;64(6):527–537.
    1. Morgenstern J, McKay JR. Rethinking the paradigms that inform behavioral treatment research for substance use disorders. Addiction. 2007a;102(9):1377–1389.
    1. Morgenstern J, Naqvi NH, Debellis R, Breiter HC. The contributions of cognitive neuroscience and neuroimaging to understanding mechanisms of behavior change in addiction. Psychology of Addictive Behaviors. 2013;27(2):336–350.
    1. Moyers TB, Martin T, Houck JM, et al. From in-session behaviors to drinking outcomes: A causal chain for motivational interviewing. Journal of Consulting and Clinical Psychology. 2009;77(6):1113–1124.
    1. Naqvi NH, Kober H, Ochsner K, Morgenstern J. Cognitive regulation of cue-induced alcohol craving in alcohol dependent and social drinkers. Alcoholism: Clinical and Experimental Research. 2015;39(2):343–349.
    1. National Institute on Alcohol Abuse and Alcoholism (NIAAA) Mechanisms of Behavior Change Initiation (MOBCI) for Drinking Behavior. Rockville, MD: NIAAA; 2009. Available at: . Accessed September 24, 2014.
    1. National Institute of Mental Health (NIMH) Research Domain Criteria (RDoC) Rockville, MD: NIMH; 2013. Available at: . Accessed September 24, 2014.
    1. Nock MK. Conceptual and design essentials for evaluating mechanisms of change. Alcoholism: Clinical and Experimental Research. 2007;31(10 Suppl):4s–12s.
    1. Ochsner KN, Silvers JA, Buhle JT. Functional imaging studies of emotion regulation: A synthetic review and evolving model of the cognitive control of emotion. Annals of the New York Academy of Sciences. 2012;1251:E1–E24.
    1. Project MATCH Research Group Matching alcoholism treatments to client heterogeneity: Project MATCH post-treatment drinking outcomes. Journal of Studies on Alcohol. 1997;58(1):7–29.
    1. Rando K, Hong KI, Bhagwagar Z, et al. Association of frontal and posterior cortical gray matter volume with time to alcohol relapse: A prospective study. American Journal of Psychiatry. 2011;168(2):183–192.
    1. Robinson TE, Berridge KC. Review: The incentive sensitization theory of addiction: Some current issues. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences. 2008;363(1507):3137–3146.
    1. Schacht JP, Anton RF, Myrick H. Functional neuroimaging studies of alcohol cue reactivity: A quantitative meta-analysis and systematic review. Addiction Biology. 2013;18(1):121–133.
    1. Seo D, Lacadie CM, Tuit K, et al. Disrupted ventromedial prefrontal function, alcohol craving, and subsequent relapse risk. JAMA Psychiatry. 2013;70(7):727–739.
    1. Slaymaker V, Sheehan T. Disease model treatments. In: McCrady E, editor. Addictions: A Comprehensive Guidebook. New York: Oxford University Press; 2013.
    1. Sullivan EV, Mathalon DH, Zipursky RB, et al. Factors of the Wisconsin Card Sorting Test as measures of frontal-lobe function in schizophrenia and in chronic alcoholism. Psychiatry Research. 1993;46(2):175–199.
    1. Sullivan EV, Shear PK, Zipursky RB, et al. Patterns of content, contextual, and working memory impairments in schizophrenia and nonamnesic alcoholism. Neuropsychology. 1997;11(2):195–206.
    1. Volkow ND, Wang GJ, Hitzemann R, et al. Recovery of brain glucose metabolism in detoxified alcoholics. American Journal of Psychiatry. 1994;151(2):178–183.
    1. Vollstädt-Klein S, Loeber S, Kirsch M, et al. Effects of cue-exposure treatment on neural cue reactivity in alcohol dependence: A randomized trial. Biological Psychiatry. 2011;69(11):1060–1066.
    1. Wampold BE. The Great Psychotherapy Debate: Models, Methods, and Findings. Mahwah, NJ: L. Erlbaum Associates; 2001.
    1. Wiers RW, Eberl C, Rinck M, et al. Retraining automatic action tendencies changes alcoholic patients’ approach bias for alcohol and improves treatment outcome. Psychological Science. 2011;22(4):490–497.
    1. Wrase J, Makris N, Braus DF, et al. Amygdala volume associated with alcohol abuse relapse and craving. American Journal of Psychiatry. 2008;165(9):1179–1184.

Source: PubMed

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