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EEG/EP: New techniques

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Abstract

The topographic analysis of electrical brain activity consists of the extraction of quantitative features which adequately describe the scalp recorded electrical fields of the brain. In the beginning of brain electrical activity mapping most methods centered mainly around the graphical display of multichannel EEG and evoked potential data. Meanwhile quantitative analysis strategies have been developed, and such methods are applied to topographic EEG and evoked potential data enabling the statistical evaluation of the effects of different experimental conditions as well as the comparison of various clinical populations. Major new analysis techniques comprise the computation of global field power and global dissimilarity for determination of components of evoked potential fields, the segmentation of map series by topographical features, time range analysis, FFT approximation for the spatial analysis of EEG frequency bands as well as correlation analysis and spatial principal components analysis (Spatial PCA). Data from experiments dealing with evoked brain activity will illustrate the application of these quantitative methods that also can be used for the analysis of the spontaneous EEG.

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References

  • Donchin, E. A multivariate approach to the analysis of average evoked potentials. IEEE Trans. Bio-med. Eng., 1966, 13: 131–139.

    Google Scholar 

  • Duffy, F.H., Jones, K., Bartels, P., McAnulty, G. and Albert, M. Unrestricted principal components analysis of brain electrical activity: issues of data dimensionality, artifact, and utility. Brain Topography, 1992, 4: 291–307.

    PubMed  Google Scholar 

  • Glaser, E.M. and Ruchkin, D.S. Principles of neurobiological signal analysis. New York: Academic Press, 1976.

    Google Scholar 

  • Harman, H.H. Modern factor analysis (2nd ed.) Chicago: The University of Chicago Press, 1967.

    Google Scholar 

  • Lehmann, D. and Michel, C.M. Intracerebral dipole source localization for FFT power maps. Electroenceph. clin. Neurophysiol., 1990, 76: 271–276.

    PubMed  Google Scholar 

  • Lehmann, D. and Skrandies, W. Reference-free identification of components of checkerboard-evoked multichannel potential fields. Electroenceph. clin. Neurophysiol., 1980, 48: 609–621.

    PubMed  Google Scholar 

  • Lehmann, D. and Skrandies, W. Time segmentation of evoked potentials (EPs) based on spatial scalp field configuration in multichannel recordings. Electroenceph. clin. Neurophysiol., 1986, Suppl. 38: 27–29.

    Google Scholar 

  • Skrandies, W. Latent components of potentials evoked by visual stimuli in different retinal locations. Int. J. Neurosci., 1981, 14: 77–84.

    PubMed  Google Scholar 

  • Skrandies, W. Visual evoked potential topography: methods and results. In F.H. Duffy (Ed.), Topographic Mapping of Brain Electrical Activity, Butterworths, Boston, 1986: 7–28.

    Google Scholar 

  • Skrandies, W. The upper and lower visual field of man: electrophysiological and functional differences. Progress in Sensory Physiology, 1987, 8: 1–93.

    Google Scholar 

  • Skrandies, W. Time range analysis of evoked potential fields. Brain Topography, 1988, 1: 107–116.

    PubMed  Google Scholar 

  • Skrandies, W. Data reduction of multichannel fields: global field power and principal components. Brain Topography, 1989, 2: 73–80.

    PubMed  Google Scholar 

  • Skrandies, W. Global field power and topographic similarity. Brain Topography, 1990, 3: 137–141.

    PubMed  Google Scholar 

  • Skrandies, W. and Lehmann, D. Spatial principal components of multichannel maps evoked by lateral visual half-field stimuli. Electroenceph. clin. Neurophysiol., 1982, 54: 662–667.

    PubMed  Google Scholar 

  • Skrandies, W., Chapman, R.M., McCrary, J.W. and Chapman, J.A. Distribution of latent components related to information processing. Ann. N.Y. Acad. Sci., 1984, 425: 271–277.

    PubMed  Google Scholar 

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Skrandies, W. EEG/EP: New techniques. Brain Topogr 5, 347–350 (1993). https://doi.org/10.1007/BF01128688

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