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Proceedings Paper

High-resolution EEG: applications in medicine and cognitive science
Author(s): P. L. Nunez
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Paper Abstract

Electroencephalography (EEG) is the primary means of studying neocortical dynamic function in the millisecond time scales at which information is processed. However, the information content of conventional EEG is severely limited by its poor spatial resolution (approximately 6 cm). With high resolution EEG, spatial resolution can be improved by a factor of three or more (approximately 2 cm). Two categories of methods have been used to obtain high resolution EEG: surface Laplacian (i.e., 'current source density') and cortical imaging (i.e., 'spatial deconvolution'). While these methods have somewhat different theoretical bases, each essentially involves an estimate of cortical surface potential. Computer simulations involving widely distributed sources are used to demonstrate the apparent accuracy of various approaches.

Paper Details

Date Published: 27 August 1993
PDF: 18 pages
Proc. SPIE 1887, Physiological Imaging, Spectroscopy, and Early-Detection Diagnostic Methods, (27 August 1993); doi: 10.1117/12.151186
Show Author Affiliations
P. L. Nunez, Tulane Univ. (United States)


Published in SPIE Proceedings Vol. 1887:
Physiological Imaging, Spectroscopy, and Early-Detection Diagnostic Methods
Randall Locke Barbour; Mark J. Carvlin, Editor(s)

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