Spherical harmonic decomposition applied to spatial-temporal analysis of human high-density electroencephalogram

We demonstrate an application of spherical harmonic decomposition to the analysis of the human electroencephalogram (EEG). We implement two methods and discuss issues specific to the analysis of hemispherical, irregularly sampled data. Spatial sampling requirements and performance of the methods are...

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Bibliographic Details
Published in:Physical review. E, Statistical, nonlinear, and soft matter physics Statistical, nonlinear, and soft matter physics, 2001-11, Vol.64 (5 Pt 1), p.051916-051916
Main Authors: Wingeier, B M, Nunez, P L, Silberstein, R B
Format: Article
Language:English
Subjects:
Biophysical Phenomena
Biophysics
Brain - physiology
Confidence Intervals
Data Interpretation, Statistical
Electroencephalography - statistics & numerical data
Humans
Models, Neurological
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Summary:We demonstrate an application of spherical harmonic decomposition to the analysis of the human electroencephalogram (EEG). We implement two methods and discuss issues specific to the analysis of hemispherical, irregularly sampled data. Spatial sampling requirements and performance of the methods are quantified using simulated data. The analysis is applied to experimental EEG data, confirming earlier reports of an approximate frequency-wave-number relationship in some bands.
ISSN:1539-3755
DOI:10.1103/PhysRevE.64.051916