Individual analysis of EEG background-activity within school age: impact of age and sex within a longitudinal data set.

  • Gmehlin D
  • Thomas C
  • Weisbrod M
 et al. 
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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.

Author-supplied keywords

  • Adolescent
  • Age Factors
  • Aging
  • Aging: physiology
  • Brain
  • Brain: growth & development
  • Brain: physiology
  • Child
  • Databases, Factual
  • Electroencephalography
  • Electroencephalography: methods
  • Female
  • Humans
  • Longitudinal Studies
  • Male
  • Sex Characteristics
  • Sex Factors

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  • Dennis Gmehlin

  • Christine Thomas

  • Matthias Weisbrod

  • Stephan Walther

  • Ute Pfüller

  • Franz Resch

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