Hauptseite > Externe Publikationen > Vita Publikationen > Variability of model-free and model-based quantitative measures of EEG > print

001     173339
005     20240313103126.0
024 7 _ |2 pmid
|a pmid:17622982
024 7 _ |2 ISSN
|a 0219-6352
024 7 _ |2 ISSN
|a 1757-448X
024 7 _ |2 Handle
|a 2128/15112
024 7 _ |2 arXiv
|a arXiv:1801.01711
037 _ _ |a FZJ-2014-06749
041 _ _ |a eng
082 _ _ |a 610
100 1 _ |0 P:(DE-Juel1)138512
|a van Albada, Sacha
|b 0
|e Corresponding Author
|u fzj
245 _ _ |a Variability of model-free and model-based quantitative measures of EEG
260 _ _ |a Singapore
|b World Scientific Publ.
|c 2007
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520 _ _ |a Variable contributions of state and trait to the electroencephalographic (EEG) signal affect the stability over time of EEG measures, quite apart from other experimental uncertainties. The extent of intraindividual and interindividual variability is an important factor in determining the statistical, and hence possibly clinical significance of observed differences in the EEG. This study investigates the changes in classical quantitative EEG (qEEG) measures, as well as of parameters obtained by fitting frequency spectra to an existing continuum model of brain electrical activity. These parameters may have extra variability due to model selection and fitting. Besides estimating the levels of intraindividual and interindividual variability, we determined approximate time scales for change in qEEG measures and model parameters. This provides an estimate of the recording length needed to capture a given percentage of the total intraindividual variability. Also, if more precise time scales can be obtained in future, these may aid the characterization of physiological processes underlying various EEG measures. Heterogeneity of the subject group was constrained by testing only healthy males in a narrow age range (mean = 22.3 years, sd = 2.7). Eyes-closed EEGs of 32 subjects were recorded at weekly intervals over an approximately six-week period, of which 13 subjects were followed for a year. QEEG measures, computed from Cz spectra, were powers in five frequency bands, alpha peak frequency, and spectral entropy. Of these, theta, alpha, and beta band powers were most reproducible. Of the nine model parameters obtained by fitting model predictions to experiment, the most reproducible ones quantified the total power and the time delay between cortex and thalamus. About 95% of the maximum change in spectral parameters was reached within minutes of recording time, implying that repeat recordings are not necessary to capture the bulk of the variability in EEG spectra.
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700 1 _ |a Rennie, Christopher J
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700 1 _ |a Robinson, Peter A
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773 _ _ |0 PERI:(DE-600)2115865-4
|n 2
|p 279 - 307
|t Journal of integrative neuroscience
|v 6
|x 0219-6352
|y 2007
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