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Proceedings Paper

Frequency-domain localization of alpha rhythm in humans via a maximum entropy approach
Author(s): Pankaj Patel; Deepak Khosla; Louai Al-Dayeh; Manbir Singh
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Paper Abstract

Generators of spontaneous human brain activity such as alpha rhythm may be easier and more accurate to localize in frequency-domain than in time-domain since these generators are characterized by a specific frequency range. We carried out a frequency-domain analysis of synchronous alpha sources by generating equivalent potential maps using the Fourier transform of each channel of electro-encephalographic (EEG) recordings. SInce the alpha rhythm recorded by EEG scalp measurements is probably produced by several independent generators, a distributed source imaging approach was considered more appropriate than a model based on a single equivalent current dipole. We used an imaging approach based on a Bayesian maximum entropy technique. Reconstructed sources were superposed on corresponding anatomy form magnetic resonance imaging. Results from human studies suggest that reconstructed sources responsible for alpha rhythm are mainly located in the occipital and parieto- occipital lobes.

Paper Details

Date Published: 9 May 1997
PDF: 9 pages
Proc. SPIE 3033, Medical Imaging 1997: Physiology and Function from Multidimensional Images, (9 May 1997); doi: 10.1117/12.274042
Show Author Affiliations
Pankaj Patel, Univ. of Southern California (United States)
Deepak Khosla, House Ear Institute (United States)
Louai Al-Dayeh, Univ. of Southern California (United States)
Manbir Singh, Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 3033:
Medical Imaging 1997: Physiology and Function from Multidimensional Images
Eric A. Hoffman, Editor(s)

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