title: Automated diagnosis of epilepsy using EEG power spectrum.
abstract: Interictal electroencephalography (EEG) has clinically meaningful limitations in its sensitivity and specificity in the diagnosis of epilepsy because of its dependence on the occurrence of epileptiform discharges. We have developed a computer-aided diagnostic (CAD) tool that operates on the absolute spectral energy of the routine EEG and has both substantially higher sensitivity and negative predictive value than the identification of interictal epileptiform discharges. Our approach used a multilayer perceptron to classify 156 patients admitted for video-EEG monitoring. The patient population was diagnostically diverse; 87 were diagnosed with either generalized or focal seizures. The remainder of the patients were diagnosed with nonepileptic seizures. The sensitivity was 92% (95% confidence interval [CI] 85-97%) and the negative predictive value was 82% (95% CI 67-92%). We discuss how these findings suggest that this CAD can be used to supplement event-based analysis by trained epileptologists.
authors.affiliation: Medical Scientist Training Program and Department of Biomathematics, University of California at Los Angeles, 760 Westwood Plaza, Los Angeles, CA 90095, U.S.A. wesleytk@ucla.edu
authors.forename: Wesley T
authors.initials: WT
authors.lastname: Kerr
authors.forename: Ariana
authors.initials: A
authors.lastname: Anderson
authors.forename: Edward P
authors.initials: EP
authors.lastname: Lau
authors.forename: Andrew Y
authors.initials: AY
authors.lastname: Cho
authors.forename: Hongjing
authors.initials: H
authors.lastname: Xia
authors.forename: Jennifer
authors.initials: J
authors.lastname: Bramen
authors.forename: Pamela K
authors.initials: PK
authors.lastname: Douglas
authors.forename: Eric S
authors.initials: ES
authors.lastname: Braun
authors.forename: John M
authors.initials: JM
authors.lastname: Stern
authors.forename: Mark S
authors.initials: MS
authors.lastname: Cohen
mesh_terms: D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004569:Electroencephalography / Q000379:methods*; D004827:Epilepsy / Q000175:diagnosis* / Q000503:physiopathology*; D006801:Humans