
J Neuropsychiatry Clin Neurosci 18:208-216, May 2006
doi: 10.1176/appi.neuropsych.18.2.208
© 2006 American Neuropsychiatric Association
Variation in Neurophysiological Function and Evidence of Quantitative Electroencephalogram Discordance: Predicting Cocaine-Dependent Treatment Attrition
Sandy Venneman, Ph.D.,
Andrew Leuchter, M.D.,
George Bartzokis, M.D.,
Mace Beckson, M.D.,
Sara L. Simon, Ph.D.,
Melodie Schaefer, Psy.D.,
Richard Rawson, Ph.D.,
Tom Newton, M.D.,
Ian A. Cook, M.D.,
Sebastian Uijtdehaage, Ph.D. and
Walter Ling, M.D.
Received September 2, 2004; revised April 19, 2005; accepted May 16, 2005. From the Medication Development Unit, Research Service, and Psychiatry Service, West Los Angeles VA Medical Center, Los Angeles, California; the Quantitative EEG Laboratory, University of California, Los Angeles Neuropsychiatric Institute and Hospital, Los Angeles, California; Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles School of Medicine, Los Angeles, California; and Tarzana Treatment Centers, Inc. Address correspondence to Dr. Venneman, University of Houston-Victoria, Departments of Biology & Psychology, 3007 Ben Wilson, Victoria, TX 77901; VennemanS{at}uhv.edu (E-mail).
Cocaine treatment trials suffer from a high rate of attrition. We examined pretreatment neurophysiological factors to identify participants at greatest risk. Twenty-five participants were divided into concordant and discordant groups following electroencephalogram (EEG) measures recorded prior to a double-blind, placebo-controlled treatment trial. Three possible outcomes were examined: successful completion, dropout, and removal. Concordant (high perfusion correlate) participants had an 85% rate of successful completion, while discordant participants had a 15% rate of successful completion. Twenty-five percent of dropouts and 50% of participants removed were discordant (low perfusion correlate), while only 25% of those who completed were discordant. Failure to complete the trial was not explained by depression, craving, benzoylecgonine levels or quantitative electroencephalogram (QEEG) power; thus cordance may help identify attrition risk.
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