Chapter

Measures of EEG Dynamic Properties

Paul L. Nunez and Ramesh Srinivasan

in Electric Fields of the Brain

Second edition

Published in print January 2006 | ISBN: 9780195050387
Published online May 2009 | e-ISBN: 9780199865673 | DOI: http://dx.doi.org/10.1093/acprof:oso/9780195050387.003.0009
 Measures of EEG Dynamic Properties

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This chapter suggests a general working framework for experimental study of large-scale dynamics of EEG, including interpretation of data recorded at different spatial and temporal scales. It views source dynamics as a stochastic (random) process having statistical properties that change with changes in behavior and cognition. It avoids any attempts to choose the “best” methods of EEG or SSVEP data analysis because any such optimization requires prior knowledge of the underlying source dynamics. Fourier-based methods are emphasized to estimate power, phase, coherence, and closely related dynamic measures in distinct frequency bands. Additional methods include estimates of phase velocity across the scalp and frequency-wavenumber spectral analysis. The latter is expressed in terms of spherical harmonics, the natural spatial functions for dynamics on a spherical surface. This approach is used to pick out individual Schumann resonances as an example, in preparation for a similar application to EEG and SSVEP presented in Chapter 10.

Keywords: spectral analysis; Fourier-based methods; coherence; coupled oscillators; frequency-wavenumber spectra; spherical harmonic analysis; phase velocity; Schumann resonances

Chapter.  29092 words.  Illustrated.

Subjects: Neuroscience

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