ISSN 0869-6632 (Print)
ISSN 2542-1905 (Online)


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Koloskova A. D. Determining of the intermittent phase synchronization degree from neurophysiological. Izvestiya VUZ. Applied Nonlinear Dynamics, 2017, vol. 25, iss. 5, pp. 26-34. DOI: 10.18500/0869-6632-2017-5-26-34

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Language: 
Russian
Article type: 
Article
UDC: 
53.06

Determining of the intermittent phase synchronization degree from neurophysiological

Autors: 
Koloskova Anastasija Dmitrievna, Saratov State University
Abstract: 

In this paper we present the results of investigation of intermittent phase synchronization in a real neurophysiological system. This phenomenon is observed in different systems as well as near the boundaries of various types of chaotic synchronization. In the case of electroencephalogram (EEG) of the brain, chosen as a system under study, just the intermittent phase synchronization can indicate the existence and development of pathologies, for example, the presence of epileptic seizures. Creation and introduction of the newest methods for the analysis of various types of brain dynamics are one of the most popular and actively developing spheres in neurophysiology. EEG signals taken from the brain of a special laboratory WAG/Rij rat, which genetically predisposed to epileptic seizures, were observed. The rat is studied in two states: under the influence of the drug clonidine (results in the intensification of epileptic seizures during the first 6-12 hours, but does not affect the duration of spike-wave discharges) and without it. To estimate the degree of intermittent behavior the method based on the calculation of zero conditional Lyapunov exponent was chosen. The relation of conditional Lyapunov exponents for the phase difference of two different channels of the animal’s brain in the case of the drug influence and in their absence is found. Plots of the dependence of the investigated quantity on the number of the spike-wave discharge are constructed. It was found that the spike-wave discharges are better synchronized under the influence of the drug. The results of this work can find direct application in medicine for diagnostics and detection of diseases associated with pathological activity of the brain.

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Received: 
04.07.2017
Accepted: 
31.10.2017
Published: 
31.10.2017
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