title: An application of autoregressive model to pattern discrimination of brain electrical activity mapping.
abstract: Using the autoregressive model, we developed a method of illustrating significant regional differences between two records of brain electrical activity mapping. This new approach of brain electrical activity mapping analysis through a statistical taxonomy may be clinically useful for evaluation of the normal development of EEG in children and for localizing functional brain abnormality.
authors.affiliation: Department of Pediatrics, Oita Medical University, Japan.
authors.forename: T
authors.initials: T
authors.lastname: Ogawa
authors.forename: H
authors.initials: H
authors.lastname: Sonoda
authors.forename: S
authors.initials: S
authors.lastname: Ishiwa
authors.forename: Y
authors.initials: Y
authors.lastname: Shigeta
mesh_terms: D001921:Brain / Q000033:anatomy & histology / Q000502:physiology*; D001931:Brain Mapping; D002648:Child; D004192:Discrimination, Psychological / Q000502:physiology*; D004569:Electroencephalography; D005260:Female; D006801:Humans; D008297:Male; D008959:Models, Neurological; D010364:Pattern Recognition, Visual / Q000502:physiology*