A sensitive and specific screening test that would identify the subset of substance-abusing @entity1 at highest risk for relapse would constitute an important advance for treatment planning. This study examined the relative value of quantitative electroencephalography as a rapid, inexpensive, and noninvasive measure of relapse potential. The subjects were 107 substance-dependent @entity1 enrolled in residential treatment programs. All were unmedicated and free of the complicating effects of major medical and @entity16 . Structured clinical interview data and a 5-minute recording of the resting, eyes-closed electroencephalogram were obtained after @entity1 had verifiably maintained abstinence for 1-5 months. @entity1 were then monitored for relapse or successful abstinence by research staff for an ensuing 6-month period. ANCOVAs of EEG power spectral density within pre-defined frequency bands revealed an enhanced amount of high frequency (19.5-39.8 Hz) beta activity among the 48 @entity1 who later relapsed compared to both 59 @entity1 who maintained abstinence and 22 additional subjects with no history of @entity734 . Importantly, in subsequent logistic regression analyses, fast beta power was found to be superior to severity of illness, @entity308 level, and childhood conduct problems in predicting relapse. With fast beta power as the sole predictor, the sensitivity, specificity, and positive and negative predictive value parameters for discriminating outcomes were 0.61, 0.85, 0.75, and 0.74, respectively. Additional ANCOVAs revealed that the EEG difference between relapse-prone and abstinence-prone groups was related to the interaction of two premorbid factors, viz., @entity9054 and paternal @entity988 . The enhancement of fast beta electroencephalographic activity in @entity1 who will later relapse most likely originates from a premorbid and subtle dysfunction involving frontal brain regions.

Predicting relapse to alcohol and XXXX via quantitative electroencephalography.

@entity1 :: ('9606', 'Species') :: ['Patients', 'patients'] @entity308 :: ('MESH:D003866', 'Disease') :: ['depression'] @entity988 :: ('MESH:D000437', 'Disease') :: ['alcoholism'] @entity16 :: ('MESH:D009422', 'Disease') :: ['neurological disorders'] @entity9054 :: ('MESH:D019955', 'Disease') :: ['childhood Conduct Disorder'] @entity734 :: ('MESH:D019966', 'Disease') :: ['substance dependence']
@entity734 :: (MESH:D019966,Disease) :: ['drug abuse']
