title: Neural network approach in multichannel auditory event-related potential analysis.
abstract: Even though there are presently no clearly defined criteria for the assessment of P300 event-related potential (ERP) abnormality, it is strongly indicated through statistical analysis that such criteria exist for classifying control subjects and patients with diseases resulting in neuropsychological impairment such as multiple sclerosis (MS). We have demonstrated the feasibility of artificial neural network (ANN) methods in classifying ERP waveforms measured at a single channel (Cz) from control subjects and MS patients. In this paper, we report the results of multichannel ERP analysis and a modified network analysis methodology to enhance automation of the classification rule extraction process. The proposed methodology significantly reduces the work of statistical analysis. It also helps to standardize the criteria of P300 ERP assessment and facilitate the computer-aided analysis on neuropsychological functions.
authors.affiliation: Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL.
authors.forename: F Y
authors.initials: FY
authors.lastname: Wu
authors.forename: J D
authors.initials: JD
authors.lastname: Slater
authors.forename: R E
authors.initials: RE
authors.lastname: Ramsay
mesh_terms: D000465:Algorithms; D005072:Evoked Potentials, Auditory / Q000502:physiology*; D005240:Feasibility Studies; D006801:Humans; D009103:Multiple Sclerosis / Q000503:physiopathology; D016571:Neural Networks, Computer; D009484:Neuropsychology; D010363:Pattern Recognition, Automated; D011930:Reaction Time; D012815:Signal Processing, Computer-Assisted; D013223:Statistics as Topic