NDLI: A study of multi-site brain dynamics during limbic seizures

Content Provider	IEEE Xplore Digital Library
Author	Sobayo, T. Fine, A.S. Mogul, D.J.
Copyright Year	2011
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.)
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.
Starting Page	7557
Ending Page	7559
File Size	455428
Page Count	3
File Format	PDF
ISBN	9781424441211
ISSN	1557170X
e-ISBN	9781457715891
e-ISBN	9781424441228
DOI	10.1109/IEMBS.2011.6091863
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Oscillators Epilepsy Synchronization Dispersion Electrodes Eigenvalues and eigenfunctions Electroencephalography
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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