Brain Topography

, Volume 6, Issue 3, pp 211–219

High resolution quantitative EEG analysis

Authors

  • S. Szava
    • Clinica del Adolescente
  • P. Valdes
    • Centro de Neurociencias de Cuba
  • R. Biscay
    • Centro de Neurociencias de Cuba
  • L. Galan
    • Centro de Neurociencias de Cuba
  • J. Bosch
    • Centro de Neurociencias de Cuba
  • I. Clark
    • Centro de Neurociencias de Cuba
  • J. C. Jimenez
    • Centro de Neurociencias de Cuba
Article

DOI: 10.1007/BF01187711

Cite this article as:
Szava, S., Valdes, P., Biscay, R. et al. Brain Topogr (1994) 6: 211. doi:10.1007/BF01187711

Summary

High resolution spectral methods are explored as an alternative to broad band spectral parameters (BBSP) in quantitative EEG analysis. In a previous paper (Valdes et al. 1990b) regression equations (“Developmental surfaces”) were introduced to characterize the age-frequency distribution of the mean and standard deviation of the log spectral EEG power in a normative sample. These normative surfaces allow the calculation of z transformed spectra for all derivations of the 10/20 system and z maps for each frequency. Clinical material is presented that illustrates how these procedures may pinpoint frequencies of abnormal brain activity and their topographic distribution, avoiding the frequency and spatial “smearing” that may occur using BBSP. The increased diagnostic accuracy of high resolution spectral methods is demonstrated by means of receiver operator characteristic (ROC) curve analysis. Procedures are introduced to avoid type I error inflation due to the use of more variables in this type of procedure.

Key words

EEG spectrumNormalityStatistics

Copyright information

© Human Sciences Press, Inc 1994