Dynamic effects and information quantifiers of statistical memory
of MEG's signals at photosensitive epilepsy
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1.
Department of Physics, Kazan State University, Kremlevskaya Street, 18 Kazan, 420008
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2.
Department of Physics, University of Augsburg, Universitätsstrasse 1, D-86135 Augsburg
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3.
Division of Biology, CalTech, Pasadena, CA 91125
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4.
Research Group for Decision Making, Research Center for Advanced Science and Technology, University of Tokyo, Tokyo, 153-8904
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5.
Department of Psychology, Goldsmits College, University of London, New Cross, London, SE14 6NW
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Received:
01 July 2007
Accepted:
29 June 2018
Published:
01 December 2008
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MSC :
Primary: 94A17, 92C55; Secondary: 92C50, 60K40
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The time series analysis of magnetoencephalographic (MEG) signals
is very important both for basic brain research and for medical
diagnosis and treatment. Here we discuss the crucial role of
statistical memory effects (ME) in human brain functioning with
photosensitive epilepsy (PSE). We study two independent
statistical memory quantifiers that reflect the dynamical
characteristics of neuromagnetic brain responses on a flickering
stimulus of different colored combinations from a group of control
subjects, which are contrasted with those from a patient with PSE.
We analyze the frequency dependence of two memory measures for
the neuromagnetic signals. The strong memory and the accompanying
transition to a regular and robust regime of the signals' chaotic
behavior in the separate areas are characteristic for a patient
with PSE. This particularly interesting observation most likely
identifies the regions of the protective mechanism in a human
organism against occurrence of PSE.
Citation: R. M. Yulmetyev, E. V. Khusaenova, D. G. Yulmetyeva, P. Hänggi, S. Shimojo, K. Watanabe, J. Bhattacharya. Dynamic effects and information quantifiers of statistical memoryof MEG's signals at photosensitive epilepsy[J]. Mathematical Biosciences and Engineering, 2009, 6(1): 189-206. doi: 10.3934/mbe.2009.6.189
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Abstract
The time series analysis of magnetoencephalographic (MEG) signals
is very important both for basic brain research and for medical
diagnosis and treatment. Here we discuss the crucial role of
statistical memory effects (ME) in human brain functioning with
photosensitive epilepsy (PSE). We study two independent
statistical memory quantifiers that reflect the dynamical
characteristics of neuromagnetic brain responses on a flickering
stimulus of different colored combinations from a group of control
subjects, which are contrasted with those from a patient with PSE.
We analyze the frequency dependence of two memory measures for
the neuromagnetic signals. The strong memory and the accompanying
transition to a regular and robust regime of the signals' chaotic
behavior in the separate areas are characteristic for a patient
with PSE. This particularly interesting observation most likely
identifies the regions of the protective mechanism in a human
organism against occurrence of PSE.
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