Frequency-domain localization of alpha rhythm in humans via a maximum entropy approach

Pankaj Patel; Deepak Khosla; Louai Al-Dayeh; Manbir Singh

doi:10.1117/12.274042

9 May 1997 Frequency-domain localization of alpha rhythm in humans via a maximum entropy approach

Pankaj Patel, Deepak Khosla, Louai Al-Dayeh, Manbir Singh

Author Affiliations +

Proceedings Volume 3033, Medical Imaging 1997: Physiology and Function from Multidimensional Images; (1997) https://doi.org/10.1117/12.274042
Event: Medical Imaging 1997, 1997, Newport Beach, CA, United States

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.

Citation Download Citation

Pankaj Patel, Deepak Khosla, Louai Al-Dayeh, and Manbir Singh "Frequency-domain localization of alpha rhythm in humans via a maximum entropy approach", Proc. SPIE 3033, Medical Imaging 1997: Physiology and Function from Multidimensional Images, (9 May 1997); https://doi.org/10.1117/12.274042

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