Individual analysis of EEG background-activity within school age

• Verfasst von: Gmehlin, Dennis [VerfasserIn]
• Verfasst von: Thomas, Christine [VerfasserIn]
• Verfasst von: Weisbrod, Matthias [VerfasserIn]
• Verfasst von: Walther, Stephan [VerfasserIn]
• Verfasst von: Pfüller, Ute [VerfasserIn]
• Verfasst von: Resch, Franz [VerfasserIn]
• Verfasst von: Oelkers-Ax, Rieke [VerfasserIn]
• Titel: Individual analysis of EEG background-activity within school age
• Titelzusatz: impact of age and sex within a longitudinal data set
• Verf.angabe: Dennis Gmehlin, Christine Thomas, Matthias Weisbrod, Stephan Walther, Ute Pfüller, Franz Resch, Rieke Oelkers-Ax
• Jahr: 2011
• Umfang: 8 S.
• Fussnoten: First published: 04 December 2010 ; Gesehen am 27.06.2022
• Titel Quelle: Enthalten in: International journal of developmental neuroscience
• Ort Quelle: Hoboken, NJ : Wiley, 1983
• Jahr Quelle: 2011
• Band/Heft Quelle: 29(2011), 2, Seite 163-170
• ISSN Quelle: 1873-474X
• DOI: doi:10.1016/j.ijdevneu.2010.11.005
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: EEG
• Sach-SW: Individualized band power
• Sach-SW: Longitudinal development
• Sach-SW: Peak frequency
• Sach-SW: Sex
• K10plus-PPN: 1807902498

Abstract

Objectives Quantitative EEG can monitor changes in brain function during development and may help to understand developmental disorders. However, current EEG-databases are primarily based on standardized frequency bands which disregard age-related changes in alpha peak frequency (PF) and therefore complicate the interpretation of spectral estimates in the theta and alpha range. Methods We used a two point longitudinal design in order to analyze intraindividual changes in 40 healthy children and adolescents with age (T1: 6-18 years; interval approximately 4 years). Using a 64-channel eyes closed resting EEG we calculated absolute/relative power in individualized frequency bands (IFB: delta, theta, alpha1/2 and beta) based on PF. Results PF increased with age, with changes being larger for children than adolescents. Controlling for changes in PF, changes in absolute/relative alpha1/2 power and in absolute beta power were minor. Relative beta power, however, increased while absolute/relative delta and theta power decreased massively. Sex-differences in PF did not reach significance. However, boys exhibited larger changes during adolescence than girls for all absolute power measures except alpha. Conclusion Normal EEG development during school-age is mainly based on an absolute decrease of slow frequency activity and increases of PF which may be interpreted in terms of a reorganization of the EEG towards a higher frequency oscillatory scale rather than a maturation of the theta-alpha1/2 band power sequence. Age-related changes differed between boys and girls suggesting a different developmental timing for the sexes. In future studies a combined analysis of PF and IFB may help to specify deviations in developmental disorders.