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Author Sobayo, T. ♦ Fine, A.S. ♦ Mogul, D.J.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2011
Language English
Subject Domain (in DDC) Technology ♦ Medicine & health ♦ Engineering & allied operations
Subject Keyword Oscillators ♦ Epilepsy ♦ Synchronization ♦ Dispersion ♦ Electrodes ♦ Eigenvalues and eigenfunctions ♦ Electroencephalography
Abstract Neuronal populations in the brain achieve levels of synchronous electrophysiological activity as a consequence of both normal brain functions as well as during pathological states such as in epileptic seizures. Understanding the nature of this synchrony and the dynamics of neuronal oscillators in the brain is a critical component towards decoding such complex behaviors. We have sought to achieve a more in-depth understanding of the dynamics underlying the evolution of seizures in limbic epilepsy by analyzing recordings of local field potentials from three subcortical nuclei that are part of the circuit of Papez in a kainic acid rat model of temporal lobe epilepsy using the empirical mode decomposition technique. The empirical mode decomposition allows for an adaptive and nonlinear decomposition of the local field potentials into a series of finite oscillatory components. We calculated the frequencies, power, and measures of phase synchrony of these oscillatory components as seizures evolve in the brain and discovered patterns of phase synchrony that varies between the different stages of the seizures.
Description Author affiliation: Department of Biomedical Engineering at the Illinois Institute of Technology, Chicago, IL USA (Mogul, D.J.) || University of Illinois at Chicago, Chicago, IL (Fine, A.S.) || Department of Biomedical Engineering at the Illinois Institute of Technology, Chicago, IL 60616 USA (Sobayo, T.)
ISBN 9781424441211
ISSN 1557170X
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2011-08-30
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781457715891
Size (in Bytes) 444.75 kB
Page Count 3
Starting Page 7557
Ending Page 7559


Source: IEEE Xplore Digital Library