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@ARTICLE{vanAlbada:173339,
      author       = {van Albada, Sacha and Rennie, Christopher J and Robinson,
                      Peter A},
      title        = {{V}ariability of model-free and model-based quantitative
                      measures of {EEG}},
      journal      = {Journal of integrative neuroscience},
      volume       = {6},
      number       = {2},
      issn         = {0219-6352},
      address      = {Singapore},
      publisher    = {World Scientific Publ.},
      reportid     = {FZJ-2014-06749},
      pages        = {279 - 307},
      year         = {2007},
      abstract     = {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.},
      ddc          = {610},
      pnm          = {331 - Signalling Pathways and Mechanisms in the Nervous
                      System (POF2-331)},
      pid          = {G:(DE-HGF)POF2-331},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:17622982},
      eprint       = {1801.01711},
      howpublished = {arXiv:1801.01711},
      archivePrefix = {arXiv},
      SLACcitation = {$\%\%CITATION$ = $arXiv:1801.01711;\%\%$},
      url          = {https://juser.fz-juelich.de/record/173339},
}