title: Developmental characteristics of topographic EEG in the newborn using an autoregressive model.
abstract: Autoregressive topographic EEG analysis was used to determine topographic EEGs of the total power in quiet and active sleep stages in 33 healthy premature infants of 34 to 40 weeks conceptional age. The developmental characteristics were also examined by simultaneously referring to the autoregressive pattern discrimination of topographic EEGs between different conceptional age groups in both sleep stages. Treating 10.24 seconds of EEG as one segment, the topographic EEG of 10 segments in each of the quit and active sleep stages as well as their mean were obtained. In both sleep stages the results showed a small peak in total power in the frontal region and a large peak in the occipital region, but total power was greater in the quiet sleep. Total power decreased with increasing conceptional age. Topographic pattern discrimination between different conceptional age groups showed significant differences mainly in the frontal, temporal and occipital regions. It was concluded that regional differences in the development of EEG in premature infants could be clarified by means of topographic EEG analysis and the pattern discrimination method using the autoregressive model.
authors.affiliation: Department of Pediatrics, Medical College of Oita, Japan.
authors.forename: S
authors.initials: S
authors.lastname: Ishiwa
authors.forename: T
authors.initials: T
authors.lastname: Ogawa
authors.forename: H
authors.initials: H
authors.lastname: Sonoda
mesh_terms: D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D007231:Infant, Newborn / Q000502:physiology*; D008959:Models, Neurological; D012894:Sleep Stages / Q000502:physiology*