Individual analysis of EEG background-activity within school age: impact of age and sex within a longitudinal data set
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 c...
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| Main Authors: | , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
2011
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| In: |
International journal of developmental neuroscience
Year: 2011, Volume: 29, Issue: 2, Pages: 163-170 |
| ISSN: | 1873-474X |
| DOI: | 10.1016/j.ijdevneu.2010.11.005 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.ijdevneu.2010.11.005 Verlag, lizenzpflichtig, Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1016/j.ijdevneu.2010.11.005 
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| Author Notes: | Dennis Gmehlin, Christine Thomas, Matthias Weisbrod, Stephan Walther, Ute Pfüller, Franz Resch, Rieke Oelkers-Ax |
MARC
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| 245 | 1 | 0 | |a Individual analysis of EEG background-activity within school age |b impact of age and sex within a longitudinal data set |c Dennis Gmehlin, Christine Thomas, Matthias Weisbrod, Stephan Walther, Ute Pfüller, Franz Resch, Rieke Oelkers-Ax |
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| 520 | |a 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. | ||
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