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Error-Related Brain Activity Predicts Cocaine Use After Treatment at 3-Month Follow-up

      Background

      Relapse after treatment is one of the most important problems in drug dependency. Several studies suggest that lack of cognitive control is one of the causes of relapse. In this study, a relative new electrophysiologic index of cognitive control, the error-related negativity, is investigated to examine its suitability as a predictor of relapse.

      Methods

      The error-related negativity was measured in 57 cocaine-dependent patients during their first week in detoxification treatment. Data from 49 participants were used to predict cocaine use at 3-month follow-up. Cocaine use at follow-up was measured by means of self-reported days of cocaine use in the last month verified by urine screening.

      Results

      A multiple hierarchical regression model was used to examine the predictive value of the error-related negativity while controlling for addiction severity and self-reported craving in the week before treatment. The error-related negativity was the only significant predictor in the model and added 7.4% of explained variance to the control variables, resulting in a total of 33.4% explained variance in the prediction of days of cocaine use at follow-up.

      Conclusions

      A reduced error-related negativity measured during the first week of treatment was associated with more days of cocaine use at 3-month follow-up. Moreover, the error-related negativity was a stronger predictor of recent cocaine use than addiction severity and craving. These results suggest that underactive error-related brain activity might help to identify patients who are at risk of relapse as early as in the first week of detoxification treatment.

      Key Words

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      References

        • Gossop M.
        • Green L.
        • Phillips G.
        • Bradley B.
        What happens to opiate addicts immediately after treatment: A prospective follow up study.
        Br Med J. 1987; 294: 1377-1380
        • Franken I.H.A.
        • Hendriks V.M.
        Predicting outcome of inpatient detoxification of substance abusers.
        Psychiatr Serv. 1999; 50: 813-817
        • Hättenschwiler J.
        • Rüesch P.
        • Hell D.
        Effectiveness of inpatient drug detoxification: Links between process and outcome variables.
        Eur Addic Res. 2000; 6: 123-131
        • Carroll K.M.
        • Power M.-E.D.
        • Bryant K.
        • Rounsaville B.J.
        One-year follow-up status of treatment-seeking cocaine abusers: Psychopathology and dependence severity as predictors of outcome.
        J Nerv Ment Dis. 1993; 181: 71-79
        • Reiber C.
        • Ramirez A.
        • Parent D.
        • Rawson R.A.
        Predicting treatment success at multiple time points in diverse patient populations of cocaine-dependent individuals.
        Drug Alcohol Depend. 2002; 68: 35-48
        • Weiss R.D.
        • Griffin M.L.
        • Mazurick C.
        • Berkman B.
        • Gastfriend D.R.
        • Frank A.
        • et al.
        The relationship between cocaine craving, psychosocial treatment, and subsequent use.
        Am J Psychiatry. 2003; 160: 1320-1325
        • American Psychiatric Association
        Diagnostic and Statistical Manual of Mental Disorders. 4th ed. American Psychiatric Press, Washington, DC1994
        • Goldstein R.Z.
        • Volkow N.D.
        Drug addiction and its underlying neurobiological basis: Neuroimaging evidence for the involvement of the frontal cortex.
        Am J Psychiatry. 2002; 159: 1642-1652
        • Garavan H.
        • Hester R.
        The role of cognitive control in cocaine dependence.
        Neuropsychol Rev. 2007; 17: 337-345
        • Gehring W.J.
        • Goss B.
        • Coles M.G.H.
        • Meyer D.E.
        • Donchin E.
        A neural system for error detection and compensation.
        Psychol Sci. 1993; 4: 385-390
        • Botvinick M.M.
        • Carter C.S.
        • Braver T.S.
        • Barch D.M.
        • Cohen J.D.
        Conflict monitoring and cognitive control.
        Psychol Rev. 2001; 108: 624-652
        • Ridderinkhof K.R.
        • Ullsperger M.
        • Crone E.A.
        • Nieuwenhuis S.
        The role of the medial frontal cortex in cognitive control.
        Science. 2004; 306: 443-447
        • Carter C.S.
        • Van Veen V.
        Anterior cingulate cortex and conflict detection: An update of theory and data.
        Cogn Affect Behav Neurosci. 2007; 7: 367-379
        • Kaufman J.N.
        • Ross T.J.
        • Stein E.A.
        • Garavan H.
        Cingulate hypoactivity in cocaine users during a GO-NOGO task as revealed by event-related functional magnetic resonance imaging.
        J Neurosci. 2003; 23: 7839-7843
        • Hester R.
        • Garavan H.
        Executive dysfunction in cocaine addiction. Evidence for discordant frontal, cingulate, and cerebellar activity.
        J Neurosci. 2004; 24: 11017-11022
        • Goldstein R.Z.
        • Volkow N.D.
        Dysfunction of the prefrontal cortex in addiction. Neuroimaging findings and clinical implications.
        Nat Rev Neurosci. 2011; 12: 652-669
        • Mathalon D.H.
        • Whitfield S.L.
        • Ford J.M.
        Anatomy of an error: ERP and fMRI.
        Biol Psychol. 2003; 64: 119-141
        • Miltner W.H.R.
        • Lemke U.
        • Weiss T.
        • Holroyd C.
        • Scheffers M.K.
        • Coles M.G.H.
        Implementation of error-processing in the human anterior cingulate cortex: A source analysis of the magnetic equivalent of the error-related negativity.
        Biol Psychol. 2003; 64: 157-166
        • Van Veen V.
        • Carter C.S.
        The anterior cingulate as a conflict monitor: fMRI and ERP studies.
        Physiol Behav. 2002; 77: 477-482
        • Gehring W.J.
        • Coles M.G.
        • Meyer D.E.
        • Donchin E.
        A brain potential manifestation of error-related processing.
        Electroencephalogr Clin Neurophysiol. 1995; S44: 261-272
        • Bernstein P.S.
        • Scheffers M.K.
        • Coles M.G.H.
        “Where did I go wrong?” A psychophysiological analysis of error detection.
        J Exp Psychol Hum Percept Perform. 1995; 21: 1312-1322
        • Holroyd C.B.
        • Coles M.G.H.
        The neural basis of human error processing: Reinforcement learning, dopamine, and the error-related negativity.
        Psychol Rev. 2002; 109: 679-709
        • Yeung N.
        • Botvinick M.M.
        • Cohen J.D.
        The neural basis of error detection: Conflict monitoring and the error-related negativity.
        Psychol Rev. 2004; 111: 931-959
        • Gehring W.J.
        • Goss B.
        • Coles M.G.H.
        • Meyer D.E.
        • Donchin E.
        A neural system for error detection and compensation.
        Psychol Sci. 1993; 4: 385-390
        • Hajcak G.
        • Moser J.S.
        • Yeung N.
        • Simons R.F.
        On the ERN and the significance of errors.
        Psychophysiology. 2005; 42: 151-160
        • Olvet D.M.
        • Hajcak G.
        The error-related negativity (ERN) and psychopathology: Toward an endophenotype.
        Clin Psychol Rev. 2008; 28: 1343-1354
        • Hajcak G.
        What we’ve learned from our mistakes: Insights from error-related brain activity.
        Curr Dir Psychol Sci. 2012; 21: 101-106
        • Franken I.H.A.
        • van Strien J.W.
        • Franzek E.J.
        • Van de Wetering B.J.
        Error-processing deficits in patients with cocaine dependence.
        Biol Psychol. 2007; 75: 45-51
        • Sokhadze E.
        • Stewart C.
        • Hollifield M.
        • Tasman A.
        Event-related potential study of executive dysfunctions in a speeded reaction task in cocaine addiction.
        J Neurother. 2008; 12: 185-204
        • Luijten M.
        • Van Meel C.S.
        • Franken I.H.A.
        Diminished error processing in smokers during smoking cue exposure.
        Pharmacol Biochem Behav. 2011; 97: 514-520
        • Padilla M.L.
        • Colrain I.M.
        • Sullivan E.V.
        • Mayer B.Z.
        • Turlington S.R.
        • Hoffman L.R.
        • et al.
        Electrophysiological evidence of enhanced performance monitoring in recently abstinent alcoholic men.
        Psychopharmacology (Berl). 2011; 213: 81-91
        • Schellekens A.F.
        • De Bruijn E.R.
        • Van Lankveld C.A.
        • Hulstijn W.
        • Buitelaar J.K.
        • De Jong C.A.
        • et al.
        Alcohol dependence and anxiety increase error-related brain activity.
        Addiction. 2010; 105: 1928-1934
        • Bauer L.O.
        Frontal P300 decrements, childhood conduct disorder, family history, and the prediction of relapse among abstinent cocaine abusers.
        Drug Alcohol Depend. 1997; 44: 1-10
        • Paulus M.P.
        • Tapert S.F.
        • Schuckit M.A.
        Neural activation patterns of methamphetamine-dependent subjects during decision making predict relapse.
        Arch Gen Psychiatry. 2005; 62: 761-768
        • Brewer J.A.
        • Worhunsky P.D.
        • Carroll K.M.
        • Rounsaville B.J.
        • Potenza M.N.
        Pretreatment brain activation during Stroop task is associated with outcomes in cocaine-dependent patients.
        Biol Psychiatry. 2008; 64: 998-1004
        • Olvet D.M.
        • Hajcak G.
        The stability of error-related brain activity with increasing trials.
        Psychophysiology. 2009; 46: 957-961
        • Eriksen B.A.
        • Eriksen C.W.
        Effects of noise letters upon the identification of a target letter in a nonsearch task.
        Percept Psychophys. 1974; 16: 143-149
        • McLellan A.T.
        • Luborski L.
        • Woody G.E.
        • O’Brien C.P.
        An improved diagnostic evaluation instrument for substance abuse patients: The Addiction Severity Index.
        J Nerv Ment Dis. 1980; 168: 26-33
        • Hendriks V.M.
        • Kaplan C.D.
        • Van Limbeek J.
        • Geerlings P.
        The Addiction Severity Index: Reliability and validity in a Dutch addict population.
        J Subst Abuse Treat. 1989; 6: 133-141
        • Franken I.H.A.
        • Hendriks V.M.
        • Van den Brink W.
        Initial validation of two opiate craving questionnaires: The Obsessive Compulsive Drug Use Scale and the Desires for Drug Questionnaire.
        Addict Behav. 2002; 27: 675-685
        • Gratton G.
        • Coles M.G.
        • Donchin E.
        A new method for off-line removal of ocular artifact.
        Electroencephalogr Clin Neurophysiol. 1983; 55: 468-484
        • Ridderinkhof K.R.
        • De Vlugt Y.
        • Bramlage A.
        • Spaan M.
        • Elton M.
        • Snel J.
        • et al.
        Alcohol consumption impairs detection of performance errors in mediofrontal cortex.
        Science. 2002; 298: 2209-2211
        • Hajcak G.
        • Moser J.S.
        • Yeung N.
        • Simons R.F.
        On the ERN and the significance of errors.
        Psychophysiology. 2005; 42: 151-160
        • Hajcak G.
        • Foti D.
        Errors are aversive: Defensive motivation and the error-related negativity: Research report.
        Psychol Sci. 2008; 19: 103-108
        • Weinberg A.
        • Klein D.N.
        • Hajcak G.
        Increased error-related brain activity distinguishes generalized anxiety disorder with and without comorbid major depressive disorder.
        J Abnorm Psychol. 2012; 121: 885-896
        • Efron B.
        • Tibshirani R.J.
        An Introduction to the Bootstrap. Chapman & Hall, New York1993
        • Mooney C.Z.
        • Duval R.D.
        Bootstrapping: A Nonparametric Approach to Statistical Inference. Sage, Newbury Park, CA1993
        • Cohen J.
        Statistical Power Analysis for the Behavioral Sciences. Erlbaum, Hillsdale, NJ1988
        • Kerns J.G.
        • Cohen J.D.
        • MacDonald III, A.W.
        • Cho R.Y.
        • Stenger V.A.
        • Carter C.S.
        Anterior cingulate conflict monitoring and adjustments in control.
        Science. 2004; 303: 1023-1026
        • Bechara A.
        • Noël X.
        • Crone E.A.
        Loss of willpower: Abnormal neural mechanisms of impulse control and decision making in addiction.
        in: Wiers R.W. Stacy A.W. Handbook of Implicit Cognition and Addiction. Sage, Thousand Oaks, CA2006
        • Donovan D.M.
        Assessment issues and domains in the prediction of relapse.
        Addiction. 1996; 91: S29-S36
        • Poling J.
        • Kosten T.R.
        • Sofuoglu M.
        Treatment outcome predictors for cocaine dependence.
        Am J Drug Alcohol Abuse. 2007; 33: 191-206
        • Robinson T.E.
        • Berridge K.C.
        The neural basis of drug craving: An incentive-sensitization theory of addiction.
        Brain Res Rev. 1993; 18: 247-291
        • Tiffany S.T.
        A cognitive model of drug urges and drug-use behavior: Role of automatic and nonautomatic processes.
        Psychol Rev. 1990; 97: 147-168
        • Preston K.L.
        • Vahabzadeh M.
        • Schmittner J.
        • Lin J.
        • Gorelick D.A.
        • Epstein D.H.
        Cocaine craving and use during daily life.
        Psychopharmacology. 2009; 207: 291-301
        • Weiss R.D.
        • Griffin M.L.
        • Hufford C.
        Craving in hospitalized cocaine abusers as a predictor of outcome.
        Am J Drug Alcohol Abuse. 1995; 21: 289-301
        • Bordnick P.S.
        • Schmitz J.M.
        Cocaine craving: An evaluation across treatment phases.
        J Subst Abuse. 1998; 10: 9-17
        • Marissen M.A.E.
        • Franken I.H.A.
        • Waters A.J.
        • Blanken P.
        • Van den Brink W.
        • Hendriks V.M.
        Attentional bias predicts heroin relapse following treatment.
        Addiction. 2006; 101: 1306-1312
      1. Marhe R, Waters AJ, Van de Wetering BJM, Franken IHA (2012): Implicit and explicit drug-related cognitions during detoxification treatment are associated with drug relapse: An ecological momentary assessment study [published online ahead of print Dec 10]. J Consult Clin Psychol.

        • Kosten T.R.
        • Scanley B.E.
        • Tucker K.A.
        • Oliveto A.
        • Prince C.
        • Sinha R.
        • et al.
        Cue-induced brain activity changes and relapse in cocaine dependent patients.
        Neuropsychopharmacology. 2006; 31: 644-650
        • Hoffmann S.
        • Falkenstein M.
        Predictive information processing in the brain: Errors and response monitoring.
        Int J Psychophysiol. 2012; 83: 208-212