Association of P3 amplitude to treatment completion in substance dependent individuals

Individuals with substance use disorders typically show reduced amplitudes of the P3 component of the evoked potential and high scores on impulsivity and aggression measures. The present study investigated the usefulness of P3 amplitude, addiction severity and impulsivity as predictors of treatment completion in substance dependence. Forty-four participants (8 women), between the ages of 19 and 61 years old, who met DSM-IV-TR Axis I substance/alcohol dependence criteria were recruited for the present study. All participants were currently residents at a local substance abuse facility receiving treatment and had been free of all drug toxicity for a minimum of 21 days. The P3 was evoked using a standard rotated-heads oddball paradigm. Significantly reduced P3 amplitude at Pz was found in patients who did not complete treatment compared to those who did. P3 amplitude at Pz elicited by target stimuli correctly identified 76.2% of those who did complete the treatment and 46.7% of those who did not.

[1]  B. Bellingham,et al.  Inventing the Feeble Mind: A History of Mental Retardation in the United States. , 1996 .

[2]  K. R. Ridderinkhof,et al.  Effects of stop-signal modality on the N2/P3 complex elicited in the stop-signal paradigm , 2006, Biological Psychology.

[3]  B. Rounsaville,et al.  Gender differences in cocaine use and treatment response. , 1993, Journal of substance abuse treatment.

[4]  H. Begleiter,et al.  Event-related brain potentials in boys at risk for alcoholism. , 1984, Science.

[5]  Stuart J. Johnstone,et al.  Neural mechanisms underlying trait impulsivity in non-clinical adults: Stop-signal performance and event-related potentials , 2007, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[6]  P. Bordnick,et al.  Treatment outcome of cocaine-alcohol dependent patients. , 1997, Drug and alcohol dependence.

[7]  S. Hill.  Trajectories of Alcohol Use and Electrophysiological and Morphological Indices of Brain Development: Distinguishing Causes from Consequences , 2004, Annals of the New York Academy of Sciences.

[8]  M. First,et al.  Structured clinical interview for DSM-IV axis I disorders : SCID-I : clinical version : scoresheet , 1997 .

[9]  W. Iacono,et al.  P3 event-related potential amplitude and the risk for disinhibitory disorders in adolescent boys. , 2002, Archives of general psychiatry.

[10]  Examining possible gender differences among cocaine-dependent outpatients. , 2002 .

[11]  D. Metzger,et al.  The Fifth Edition of the Addiction Severity Index. , 1992, Journal of substance abuse treatment.

[12]  H. Goddard.  Human Efficiency and Levels of Intelligence , 2009 .

[13]  E. Barratt,et al.  The impact of impulsivity on cocaine use and retention in treatment. , 2001, Journal of substance abuse treatment.

[14]  J. Marques-Teixeira,et al.  Emotional states and informational brain processing in drug addicts free of drugs: An ERPs study , 2005, International journal of psychiatry in clinical practice.

[15]  C. Lieber,et al.  P3 in alcoholics with disordered regulation of aggression , 1988, Psychiatry Research.

[16]  R. Orwin,et al.  Retention of homeless clients in substance abuse treatment. Findings from the National Institute on Alcohol Abuse and Alcoholism Cooperative Agreement Program. , 1999, Journal of substance abuse treatment.

[17]  J. Mendelson,et al.  P300 assessment of opiate and cocaine users: Effects of detoxification and buprenorphine treatment , 1996, Biological Psychiatry.

[18]  W. Berrettini,et al.  Predicting treatment-outcome in cocaine dependence from admission urine drug screen and peripheral serotonergic measures. , 2002, Journal of substance abuse treatment.

[19]  L. Bauer.  Frontal P300 decrements, childhood conduct disorder, family history, and the prediction of relapse among abstinent cocaine abusers. , 1997, Drug and alcohol dependence.

[20]  L. Hourani,et al.  Results from the 2008 National Survey on Drug Use and Health: National Findings , 2007 .

[21]  J. McKay,et al.  The relationship of alcohol use to cocaine relapse in cocaine dependent patients in an aftercare study. , 1999, Journal of studies on alcohol.

[22]  E. Donchin,et al.  Is the P300 component a manifestation of context updating? , 1988, Behavioral and Brain Sciences.

[23]  Jan K Buitelaar,et al.  Inhibition in children with attention-deficit/hyperactivity disorder: a psychophysiological study of the stop task , 2002, Biological Psychiatry.

[24]  L. Bauer.  CNS recovery from cocaine, cocaine and alcohol, or opioid dependence: a P300 study , 2001, Clinical Neurophysiology.

[25]  S. Steinhauer,et al.  Eight-year longitudinal follow-up of P300 and clinical outcome in children from high-risk for alcoholism families , 1995, Biological Psychiatry.

[26]  Maristela Monteiro,et al.  AUDIT - The alcohol use disorders identification test: guidelines for use in primary care. , 2001 .

[27]  K. Carroll,et al.  One‐Year Follow‐Up Status of Treatment‐Seeking Cocaine Abusers: Psychopathology and Dependence Severity as Predictors of Outcome , 1993, The Journal of nervous and mental disease.

[28]  Andreas Heinz,et al.  Quantitative EEG (QEEG) predicts relapse in patients with chronic alcoholism and points to a frontally pronounced cerebral disturbance , 1998, Psychiatry Research.

[29]  H. Skinner,et al.  The drug abuse screening test. , 2013, Addictive behaviors.

[30]  E. Reilly,et al.  P300 Event-Related Potential Amplitude and Impulsivity in Cocaine-Dependent Subjects , 2004, Neuropsychobiology.

[31]  J. Badcock,et al.  Validity and Consistency of Self-Reports Regarding Substance Use in General Research Volunteers, Including Regular Cannabis Users and Schizophrenia Patients , 2006, Substance use & misuse.

[32]  Edward Gottheil,et al.  Pre—Treatment Measures of Impulsivity, Aggression and Sensation Seeking Are Associated with Treatment Outcome for African—American Cocaine—Dependent Patients , 2004, Journal of addictive diseases.

[33]  R. Rawson,et al.  Predicting treatment success at multiple timepoints in diverse patient populations of cocaine-dependent individuals. , 2002, Drug and alcohol dependence.

[34]  L. Bauer.  Electroencephalographic and autonomic predictors of relapse in alcohol-dependent patients. , 1994, Alcoholism, clinical and experimental research.

[35]  D. Ciraulo,et al.  Outcome predictors in substance use disorders. , 2003, The Psychiatric clinics of North America.

[36]  Thomas R Kosten,et al.  Treatment Outcome Predictors for Cocaine Dependence , 2007, The American journal of drug and alcohol abuse.

[37]  C. Muntaner,et al.  Self-report vs. laboratory measures of aggression as predictors of substance abuse. , 1990, Drug and alcohol dependence.

[38]  R. Ehrman,et al.  Results of a baseline urine test predict levels of cocaine use during treatment. , 2001, Drug and alcohol dependence.

[39]  J. McKay,et al.  A cocaine-positive baseline urine predicts outpatient treatment attrition and failure to attain initial abstinence. , 1997, Drug and alcohol dependence.

[40]  A. Alterman,et al.  Cocaine abstinence symptomatology and treatment attrition. , 1999, Journal of substance abuse treatment.

[41]  J. Patton,et al.  Factor structure of the Barratt impulsiveness scale. , 1995, Journal of clinical psychology.

[42]  J. Martínez-Raga,et al.  Gender differences in cocaine dependent patients: a 6 month follow-up study. , 1997, Drug and alcohol dependence.

[43]  S. Berman,et al.  P3 in young boys as a predictor of adolescent substance use. , 1993, Alcohol.

[44]  K Richard Ridderinkhof,et al.  ERP components associated with successful and unsuccessful stopping in a stop-signal task. , 2004, Psychophysiology.

[45]  F. Bloom,et al.  Meta-analysis of P300 amplitude from males at risk for alcoholism , 1994 .

[46]  Kristine B Walhovd,et al.  Life-span changes in P3a. , 2004, Psychophysiology.

[47]  B. Rounsaville,et al.  Alcoholism in treatment-seeking cocaine abusers: clinical and prognostic significance. , 1993, Journal of studies on alcohol.

[48]  R. Tarter,et al.  Alcohol and the Brain , 1985, Springer US.

[49]  G. Campana,et al.  Long‐term effects of MDMA (Ecstasy) on the human central nervous system revealed by visual evoked potentials , 2005, Addiction biology.

[50]  R. Moos,et al.  Dropout from 12-step self-help groups: prevalence, predictors, and counteracting treatment influences. , 2003, Journal of substance abuse treatment.

[51]  Bernice Porjesz,et al.  Human Brain Electrophysiology and Alcoholism , 1985 .

[52]  E. John,et al.  Prediction of treatment outcome in cocaine dependent males using quantitative EEG. , 1999, Drug and alcohol dependence.

[53]  J. McKay,et al.  Prediction of attrition from day hospital treatment in lower socioeconomic cocaine-dependent men. , 1996, Drug and alcohol dependence.

[54]  F. Vollenweider,et al.  The P3 in ‘ecstasy’ polydrug users during response inhibition and execution , 2005, Journal of psychopharmacology.