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The role of self-reported impulsivity and reward sensitivity versus neurocognitive measures of disinhibition and decision-making in the prediction of relapse in pathological gamblers

Published online by Cambridge University Press:  14 May 2007

A. E. Goudriaan*
Affiliation:
Department of Psychiatry, Academic Medical Center, University of Amsterdam, and Amsterdam Institute for Addiction Research, Amsterdam, The Netherlands Department of Clinical Neuropsychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands Department of Psychological Sciences, University of Missouri, Columbia, MO, USA
J. Oosterlaan
Affiliation:
Department of Clinical Neuropsychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
E. De Beurs
Affiliation:
Netherlands Institute for Forensic Psychiatry and Psychology, Utrecht, The Netherlands
W. Van Den Brink
Affiliation:
Department of Psychiatry, Academic Medical Center, University of Amsterdam, and Amsterdam Institute for Addiction Research, Amsterdam, The Netherlands
*
*Address for correspondence: A. E. Goudriaan, Ph.D., Academic Medical Center, Department of Psychiatry, University of Amsterdam, Room PB0-433, PO Box 75867, 1070 AWAmsterdam, The Netherlands. (Email: [email protected] or [email protected])

Abstract

Background

Disinhibition and decision-making skills play an important role in theories on the cause and outcome of addictive behaviors such as substance use disorders and pathological gambling. In recent studies, both disinhibition and disadvantageous decision-making strategies, as measured by neurocognitive tests, have been found to influence the course of substance use disorders. Research on factors affecting relapse in pathological gambling is scarce.

Method

This study investigated the effect of both self-reported impulsivity and reward sensitivity, and neurocognitively assessed disinhibition and decision-making under conflicting contingencies, on relapse in a group of 46 pathological gamblers.

Results

Logistic regression analysis indicated that longer duration of the disorder and neurocognitive indicators of disinhibition (Stop Signal Reaction Time) and decision-making (Card Playing Task) were significant predictors of relapse (explaining 53% of the variance in relapse), whereas self-reported impulsivity and reward sensitivity did not significantly predict relapse. Overall classification accuracy was 76%, with a positive classification accuracy of 76% and a negative classification accuracy of 75%.

Conclusions

Duration of the disorder and neurocognitive measures of disinhibition and decision-making are powerful predictors of relapse in pathological gambling. The results suggest that endophenotypical neurocognitive characteristics are more promising in the prediction of relapse in pathological gambling than phenotypical personality characteristics. Neurocognitive predictors may be useful to guide treatment planning of follow-up contacts and booster sessions.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2007

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References

Aharonovich, E, Nunes, E, Hasin, D (2003). Cognitive impairment, retention and abstinence among cocaine abusers in cognitive-behavioral treatment. Drug and Alcohol Dependence 71, 207211.CrossRefGoogle ScholarPubMed
Allsop, S, Saunders, B, Phillips, M (2000). The process of relapse in severely dependent male problem drinkers. Addiction 95, 95106.CrossRefGoogle ScholarPubMed
APA (1994). Diagnostic and Statistical Manual of Mental Disorders, 4th edn (DSM-IV). American Psychiatric Association: Washington, DC.Google Scholar
Babor, TF, Cooney, NL, Lauerman, RJ (1987). The dependence syndrome concept as a psychological theory of relapse behaviour: an empirical evaluation of alcoholic and opiate addicts. British Journal of Addiction 82, 393405.CrossRefGoogle ScholarPubMed
Bachorowski, JA, Newman, JP (1990). Impulsive motor behavior: effects of personality and goal salience. Journal of Personality and Social Psychology 58, 512518.CrossRefGoogle ScholarPubMed
Bates, ME, Barry, D, Labouvie, EW, Fals-Stewart, W, Voelbel, G, Buckman, JF (2004). Risk factors and neuropsychological recovery in clients with alcohol use disorders who were exposed to different treatments. Journal of Consulting and Clinical Psychology 72, 10731080.CrossRefGoogle ScholarPubMed
Bates, ME, Bowden, SC, Barry, D (2002). Neurocognitive impairment associated with alcohol use disorders: implications for treatment. Experimental and Clinical Psychopharmacology 10, 193212.CrossRefGoogle ScholarPubMed
Bauer, LO (2001). Predicting relapse to alcohol and drug abuse via quantitative electroencephalography. Neuropsychopharmacology 25, 332340.CrossRefGoogle ScholarPubMed
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, 16751689.CrossRefGoogle ScholarPubMed
Bechara, A, Damasio, AR, Damasio, H, Anderson, SW (1994). Insensitivity to future consequences following damage to human prefrontal cortex. Cognition 50, 715.CrossRefGoogle ScholarPubMed
Bechara, A, Dolan, S, Hindes, A (2002). Decision-making and addiction (Part II): myopia for the future or hypersensitivity to reward? Neuropsychologia 40, 16901705.CrossRefGoogle ScholarPubMed
Blanco, C, Moreyra, P, Nunes, EV, Saiz-Ruiz, J, Ibanez, A (2001). Pathological gambling: addiction or compulsion? Seminars in Clinical Neuropsychiatry 6, 167176.CrossRefGoogle ScholarPubMed
Blaszczynski, A, McConaghy, N, Frankova, A (1991). A comparison of relapsed and non-relapsed abstinent pathological gamblers following behavioural treatment. British Journal of Addiction 86, 14851489.CrossRefGoogle ScholarPubMed
Blum, K, Braverman, ER, Holder, JM, Lubar, JF, Monastra, VJ, Miller, D, Lubar, JO, Chen, TJ, Comings, DE (2000). Reward deficiency syndrome: a biogenetic model for the diagnosis and treatment of impulsive, addictive, and compulsive behaviors. Journal of Psychoactive Drugs 32 (Suppl.), 1112.CrossRefGoogle ScholarPubMed
Bolla, KI, Eldreth, DA, London, ED, Kiehl, KA, Mouratidis, M, Contoreggi, C, Matochik, JA, Kurian, V, Cadet, JL, Kimes, AS, Funderburk, FR, Ernst, M (2003). Orbitofrontal cortex dysfunction in abstinent cocaine abusers performing a decision-making task. Neuroimage 19, 10851094.CrossRefGoogle ScholarPubMed
Bottlender, M, Soyka, M (2005). Out-patient alcoholism treatment: predictors of outcome after 3 years. Drug and Alcohol Dependence 80, 8389.CrossRefGoogle ScholarPubMed
Bowden-Jones, H, McPhillips, M, Rogers, R, Hutton, S, Joyce, E (2005). Risk-taking on tests sensitive to ventromedial prefrontal cortex dysfunction predicts early relapse in alcohol dependency: a pilot study. Journal of Neuropsychiatry and Clinical Neuroscience 17, 417420.CrossRefGoogle ScholarPubMed
Busemeyer, JR, Stout, JC (2002). A contribution of cognitive decision models to clinical assessment: decomposing performance on the bechara gambling task. Psychological Assessment 14, 253.CrossRefGoogle ScholarPubMed
Carver, CS, White, TL (1994). Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment: the bis/bas scales. Journal of Personality and Social Psychology 67, 319333.CrossRefGoogle Scholar
Deckel, AW, Bauer, L, Hesselbrock, V (1995). Anterior brain dysfunctioning as a risk factor in alcoholic behaviors. Addiction 90, 13231334.CrossRefGoogle ScholarPubMed
Delucchi, KL, Matzger, H, Weisner, C (2004). Dependent and problem drinking over 5 years: a latent class growth analysis. Drug and Alcohol Dependence 74, 235244.CrossRefGoogle Scholar
Doran, N, Spring, B, McChargue, D, Pergadia, M, Richmond, M (2004). Impulsivity and smoking relapse. Nicotine and Tobacco Research 6, 641647.CrossRefGoogle ScholarPubMed
Fals-Stewart, W (1993). Neurocognitive deficits and their impact on substance abuse treatment. Journal of Addictions and Offender Counseling 13, 4657.CrossRefGoogle Scholar
Fals-Stewart, W, Schafer, J (1992). The relationship between length of stay in drug-free therapeutic communities and neurocognitive functioning. Journal of Clinical Psychology 48, 539543.3.0.CO;2-I>CrossRefGoogle ScholarPubMed
Giancola, PR, Moss, HB (1998). Executive cognitive functioning in alcohol use disorders. Recent Developments in Alcohol Research 14, 227251.CrossRefGoogle ScholarPubMed
Goldstein, RZ, Volkow, ND (2002). Drug addiction and its underlying neurobiological basis: neuroimaging evidence for the involvement of the frontal cortex. American Journal of Psychiatry 159, 16421652.CrossRefGoogle ScholarPubMed
Goldstein, RZ, Volkow, ND, Wang, GJ, Fowler, JS, Rajaram, S (2001). Addiction changes orbitofrontal gyrus function: involvement in response inhibition. Neuroreport 12, 25952599.CrossRefGoogle ScholarPubMed
Gottesman, II, Gould, TD (2003). The endophenotype concept in psychiatry: etymology and strategic intentions. American Journal of Psychiatry 160, 636645.CrossRefGoogle ScholarPubMed
Gottlieb, LD, Horwitz, RI, Kraus, ML, Segal, SR, Viscoli, CM (1994). Randomized controlled trial in alcohol relapse prevention: role of atenolol, alcohol craving, and treatment adherence. Journal of Substance Abuse Treatment 11, 253258.CrossRefGoogle ScholarPubMed
Goudriaan, AE, Oosterlaan, J, de Beurs, E, van den Brink, W (2005). Decision-making in pathological gambling: a comparison between pathological gamblers, alcohol dependents, persons with Tourette syndrome, and normal controls. Brain Research: Cognitive Brain Research 23, 137151.Google ScholarPubMed
Goudriaan, AE, Oosterlaan, J, De Beurs, E, van den Brink, W (2006). Neurocognitive functions in pathological gambling: a comparison with alcohol dependence, Tourette syndrome, and normal controls. Addiction 101, 534547.CrossRefGoogle ScholarPubMed
Groth-Marnat, G (1997). Handbook of Psychological Assessment. John Wiley & Sons: New York.Google Scholar
Hammes, JW (1971). De stroop kleur-woord test: Handleiding [The Stroop color-word test: Manual]. Swets & Zeitlinger: Lisse, The Netherlands.Google Scholar
Hesselbrock, V, Begleiter, H, Porjesz, B, O'Connor, S, Bauer, L (2001). P300 event-related potential amplitude as an endophenotype of alcoholism – evidence from the collaborative study on the genetics of alcoholism. Journal of Biomedical Science 8, 7782.Google ScholarPubMed
Horner, MD, Waid, LR, Johnson, DE, Latham, PK, Anton, RF (1999). The relationship of cognitive functioning to amount of recent and lifetime alcohol consumption in out-patient alcoholics. Addictive Behaviors 24, 449453.CrossRefGoogle Scholar
Hosmer, DW, Lemeshow, S (2000). Applied Logistic Regression. Wiley: New York.CrossRefGoogle Scholar
Hser, YI, Hoffman, V, Grella, CE, Anglin, MD (2001). A 33-year follow-up of narcotics addicts. Archives of General Psychiatry 58, 503508.CrossRefGoogle ScholarPubMed
Kambouropoulos, N, Staiger, PK (2001). The influence of sensitivity to reward on reactivity to alcohol-related cues. Addiction 96, 11751185.CrossRefGoogle ScholarPubMed
Kubota, M, Nakazaki, S, Hirai, S, Saeki, N, Yamaura, A, Kusaka, T (2001). Alcohol consumption and frontal lobe shrinkage: study of 1432 non-alcoholic subjects. Journal of Neurology, Neurosurgery, and Psychiatry 71, 104106.CrossRefGoogle ScholarPubMed
Langenbucher, J, Sulesund, D, Chung, T, Morgenstern, J (1996). Illness severity and self-efficacy as course predictors of DSM-IV alcohol dependence in a multisite clinical sample. Addictive Behaviors 21, 543553.CrossRefGoogle Scholar
Latimer, WW, Winters, KC, Stinchfield, R, Traver, RE (2000). Demographic, individual, and interpersonal predictors of adolescent alcohol and marijuana use following treatment. Psychology of Addictive Behaviors 14, 162173.CrossRefGoogle ScholarPubMed
Ledgerwood, DM, Petry, NM (2006). What do we know about relapse in pathological gambling? Clinical Psychology Review 26, 216228.CrossRefGoogle ScholarPubMed
Logan, GD, Cowan, WB, Davis, KA (1984). On the ability to inhibit simple and choice reaction time responses: a model and a method. Journal of Experimental Psychology: Human Perception and Performance 10, 276291.Google Scholar
Markianos, M, Lykouras, L, Moussas, G, Hatzimanolis, J (2001). Changes in dopamine receptor responsivity during alcohol detoxification may predict relapse. Drug and Alcohol Dependence 64, 363365.CrossRefGoogle ScholarPubMed
Marks, I (1990). Behavioural (non-chemical) addictions. British Journal of Addiction 85, 13891394.CrossRefGoogle ScholarPubMed
Martin-Soelch, C, Leenders, KL, Chevalley, AF, Missimer, J, Kunig, G, Magyar, S, Mino, A, Schultz, W (2001). Reward mechanisms in the brain and their role in dependence: evidence from neurophysiological and neuroimaging studies. Brain Research Reviews 36, 139149.CrossRefGoogle ScholarPubMed
Moeller, FG, Dougherty, DM, Barratt, ES, Schmitz, JM, Swann, AC, Grabowski, J (2001). The impact of impulsivity on cocaine use and retention in treatment. Journal of Substance Abuse Treatment 21, 193198.CrossRefGoogle ScholarPubMed
Monterosso, J, Ehrman, R, Napier, KL, O'Brien, CP, Childress, AR (2001). Three decision-making tasks in cocaine-dependent patients: do they measure the same construct? Addiction 96, 18251837.CrossRefGoogle ScholarPubMed
Monti, PM, Rohsenow, DJ, Hutchison, KE, Swift, RM, Mueller, TI, Colby, SM, Brown, RA, Gulliver, SB, Gordon, A, Abrams, DB (1999). Naltrexone's effect on cue-elicited craving among alcoholics in treatment. Alcoholism, Clinical and Experimental Research 23, 13861394.Google ScholarPubMed
National Research Council, Committee on the Social and Economic Impact of Pathological Gambling (1999). Pathological Gambling: A Critical Review. National Academy Press: Washington, DC.Google Scholar
Newman, JP, Patterson, CM, Kosson, DS (1987). Response perseveration in psychopaths. Journal of Abnormal Psychology 96, 145148.CrossRefGoogle ScholarPubMed
O'Neill, J, Cardenas, VA, Meyerhoff, DJ (2001). Separate and interactive effects of cocaine and alcohol dependence on brain structures and metabolites: quantitative MRI and proton MR spectroscopic imaging. Addiction Biology 6, 347361.CrossRefGoogle ScholarPubMed
Ooteman, W, Verheul, R, Naasila, M, Daoust, M, Schippers, G, Koeter, MWJ, van den Brink, W (2005). Patient-treatment matching with anti-craving medications in alcohol-dependent patients: a review on phenotypic, endophenotypic and genetic indicators. Journal of Substance Use 10, 7596.CrossRefGoogle Scholar
Paraherakis, A, Charney, DA, Gill, K (2001). Neuropsychological functioning in substance-dependent patients. Substance Use and Misuse 36, 257271.CrossRefGoogle ScholarPubMed
Patton, JH, Stanford, MS, Barratt, ES (1995). Factor structure of the Barratt impulsiveness scale. Journal of Clinical Psychology 51, 768774.3.0.CO;2-1>CrossRefGoogle ScholarPubMed
Paulus, MP, Tapert, SF, Schuckit, MA (2005). Neural activation patterns of methamphetamine-dependent subjects during decision-making predict relapse. Archives of General Psychiatry 62, 761768.CrossRefGoogle ScholarPubMed
Potenza, MN, Leung, HC, Blumberg, HP, Peterson, BS, Fulbright, RK, Lacadie, CM, Skudlarski, P, Gore, JC (2003). An fMRI Stroop task study of ventromedial prefrontal cortical function in pathological gamblers. American Journal of Psychiatry 160, 19901994.CrossRefGoogle ScholarPubMed
Putman, P, Hermans, E, van Honk, J (2004). Emotional Stroop performance for masked angry faces: it's bas, not bis. Emotion 4, 305.CrossRefGoogle Scholar
Reuter, J, Raedler, T, Rose, M, Hand, I, Glascher, J, Buchel, C (2005). Pathological gambling is linked to reduced activation of the mesolimbic reward system. Nature Neuroscience 8, 147148.CrossRefGoogle ScholarPubMed
Robins, L, Cottler, L, Bucholz, K, Compton, W (1998). Diagnostic Interview Schedule for DSM-IV (DIS-IV – Revision 11 Sep 1998). Department of Psychiatry, School of Medicine, Washington University: St Louis, MO.Google Scholar
Scheres, A, Oosterlaan, J, Sergeant, JA (2001). Response execution and inhibition in children with AD/HD and other disruptive disorders: the role of behavioural activation. Journal of Child Psychology and Psychiatry 42, 347357.CrossRefGoogle ScholarPubMed
Simpson, DD, Joe, GW, Fletcher, BW, Hubbard, RL, Anglin, MD (1999). A national evaluation of treatment outcomes for cocaine dependence. Archives of General Psychiatry 56, 507514.CrossRefGoogle ScholarPubMed
Smith, DE, McCrady, BS (1991). Cognitive impairment among alcoholics: impact on drink refusal skill acquisition and treatment outcome. Addictive Behaviors 16, 265274.CrossRefGoogle ScholarPubMed
Stroop, JR (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology 18, 643661.CrossRefGoogle Scholar
Tamminga, CA, Nestler, EJ (2006). Pathological gambling: focusing on the addiction, not the activity. American Journal of Psychiatry 163, 180181.CrossRefGoogle Scholar
Tapert, SF, Brown, SA, Myers, MG, Granholm, E (1999). The role of neurocognitive abilities in coping with adolescent relapse to alcohol and drug use. Journal of Studies on Alcohol 60, 500508.CrossRefGoogle ScholarPubMed
Tarter, RE, Kirisci, L, Habeych, M, Reynolds, M, Vanyukov, M (2004). Neurobehavior disinhibition in childhood predisposes boys to substance use disorder by young adulthood: direct and mediated etiologic pathways. Drug and Alcohol Dependence 73, 121132.CrossRefGoogle ScholarPubMed
Teichner, G, Horner, MD, Harvey, RT (2001). Neuropsychological predictors of the attainment of treatment objectives in substance abuse patients. International Journal of Neuroscience 106, 253263.CrossRefGoogle ScholarPubMed
Teichner, G, Horner, MD, Roitzsch, JC, Herron, J, Thevos, A (2002). Substance abuse treatment outcomes for cognitively impaired and intact out-patients. Addictive Behaviors 27, 751763.CrossRefGoogle Scholar
Vitaro, F, Arseneault, L, Tremblay, RE (1999). Impulsivity predicts problem gambling in low SES adolescent males. Addiction 94, 565575.CrossRefGoogle ScholarPubMed
Volkow, ND, Fowler, JS, Wang, GJ, Goldstein, RZ (2002 a). Role of dopamine, the frontal cortex and memory circuits in drug addiction: insight from imaging studies. Neurobiology of Learning and Memory 78, 610624.CrossRefGoogle ScholarPubMed
Volkow, ND, Wang, GJ, Maynard, L, Fowler, JS, Jayne, B, Telang, F, Logan, J, Ding, YS, Gatley, SJ, Hitzemann, R, Wong, C, Pappas, N (2002 b). Effects of alcohol detoxification on dopamine D2 receptors in alcoholics: a preliminary study. Psychiatry Research 116, 163172.CrossRefGoogle ScholarPubMed
Waters, AJ, Shiffman, S, Sayette, MA, Paty, JA, Gwaltney, CJ, Balabanis, MH (2003). Attentional bias predicts outcome in smoking cessation. Health Psychology 22, 378387.CrossRefGoogle ScholarPubMed
WHO (1997). Composite International Diagnostic Interview – Version 2.L. World Health Organization: Geneva.Google Scholar
Zuckerman, M, Kuhlman, M, Joireman, J, Teta, P, Kraft, M (1993). A comparison of three structural models for personality: the big three, the big five, and the alternative five. Journal of Personality and Social Psychology 65, 757768.CrossRefGoogle Scholar