Title :
Quantitative approximation of the cortical surface potential from EEG and ECoG measurements
Author :
Kramer, Mark A. ; Szeri, Andrew J.
Author_Institution :
Graduate Group in Appl. Sci. & Technol., Univ. of California, Berkeley, CA, USA
Abstract :
A quantitative approximation of the cortical surface potential from measured scalp surface potential data is developed. The derivation is based on a local Taylor series expansion (TSE) in the surface normal coordinate. Analytical and numerical results for the four shell spherical head model show that the TSE method improves the spatial deblurring of the surface Laplacian method. The inclusion of the biharmonic term, the extension to other geometries, and the application to electrocorticogram measurements are discussed.
Keywords :
bioelectric potentials; electroencephalography; physiological models; ECoG; EEG; cortical surface potential; four shell spherical head model; local Taylor series expansion; scalp surface potential; spatial deblurring; surface Laplacian method; Brain modeling; Current density; Electroencephalography; Geometry; Head; Laplace equations; Scalp; Skull; Spatial resolution; Taylor series; Algorithms; Brain Mapping; Cerebral Cortex; Diagnosis, Computer-Assisted; Electroencephalography; Humans; Models, Neurological; Scalp;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2004.827264
