title: Power spectral analysis in infants with seizures: relationship to development.
abstract: There is increasing evidence that there is a strong relationship between brain oscillations and neurocognitive function. We used EEG power spectral analysis to determine if frequency and power provide an independent measure of developmental impairment in infants. We examined the spectral power of EEGs in 200 infants between 6 and 24 months of age who were evaluated for seizures. Infants were stratified into three age groups 6-12, 12-18, and 18-24 months, and development assessments were coded as normal, moderately delayed, and severely delayed. Compared with the normal infants, children with developmental delay had lower mean frequencies and greater delta and less theta and alpha power. Delta/theta and theta/alpha ratios were highly significant indicators of developmental status. This study demonstrates that frequency and power of brain oscillations during wakefulness is a strong predictor of development in infants. The findings support the concept that normal oscillatory activity is critical for normal cognitive function during development.
authors: Department of Neurology, Neuroscience Center at Dartmouth, Dartmouth Medical School, Hanover, NH 03756, USA.
authors: Kandan
authors: K
authors: Kulandaivel
authors: Gregory L
authors: GL
authors: Holmes
mesh_terms: D001921:Brain / Q000254:growth & development / Q000473:pathology / Q000503:physiopathology; D058256:Brain Waves / Q000502:physiology*; D002675:Child, Preschool; D004569:Electroencephalography / Q000379:methods; D005260:Female; D006801:Humans; D007223:Infant; D008297:Male; D012640:Seizures / Q000473:pathology* / Q000503:physiopathology*; D013057:Spectrum Analysis