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 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.
Wingeier
B M
BM
Brain Sciences Institute, Swinburne University of Technology, 400 Burwood Road, Hawthorn, Victoria 3122, Australia. wingeier@bsi.swin.edu.au
Nunez
P L
PL
Silberstein
R B
RB
D055592:Biophysical Phenomena; D001703:Biophysics; D001921:Brain / Q000502:physiology; D016001:Confidence Intervals; D003627:Data Interpretation, Statistical; D004569:Electroencephalography / Q000706:statistics & numerical data*; D006801:Humans; D008959:Models, Neurological