Power spectral analysis in infants with seizures: Relationship to development
| Autor: | Gregory L. Holmes, Kandan Kulandaivel |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Male
medicine.medical_specialty Alpha (ethology) Audiology Electroencephalography Behavioral Neuroscience Epilepsy Seizures medicine Humans medicine.diagnostic_test Spectrum Analysis Power spectral analysis Brain Infant Independent measure Cognition medicine.disease Brain Waves Neurology Child Preschool Female Wakefulness Neurology (clinical) Psychology Neuroscience Neurocognitive |
| Zdroj: | Epilepsy & Behavior. 20:700-705 |
| ISSN: | 1525-5050 |
| DOI: | 10.1016/j.yebeh.2011.02.021 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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