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Analysis of biomedical signals by flicker-noise spectroscopy : identification of photosensitive epilepsy using magnetoencephalograms

Timashev, S. F. and Polyakov, Yu. S. and Yulmetyev, R. M. and Demin, S. A. and Panischev, O. Yu. and Shimojo, S. and Bhattacharya, J. (2009) Analysis of biomedical signals by flicker-noise spectroscopy : identification of photosensitive epilepsy using magnetoencephalograms. Laser Physics, 19 (4). pp. 836-854. ISSN 1054-660X. https://resolver.caltech.edu/CaltechAUTHORS:20090706-141949516

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Abstract

The flicker-noise spectroscopy (FNS) approach is used to determine the dynamic characteristics of neuromagnetic responses by analyzing the magnetoencephalographic (MEG) signals recorded as the response of a group of control human subjects and a patient with photosensitive epilepsy (PSE) to equiluminant flickering stimuli of different color combinations. Parameters characterizing the analyzed stochastic biomedical signals for different frequency bands are identified. It is shown that the classification of the parameters of analyzed MEG responses with respect to different frequency bands makes it possible to separate the contribution of the chaotic component from the overall complex dynamics of the signals. It is demonstrated that the chaotic component can be adequately described by the anomalous diffusion approximation in the case of control subjects. On the other hand, the chaotic component for the patient is characterized by a large number of high-frequency resonances. This implies that healthy organisms can suppress the perturbations brought about by the flickering stimuli and reorganize themselves. The organisms affected by photosensitive epilepsy no longer have this ability. This result also gives a way to simulate the separate stages of the brain cortex activity in vivo. The examples illustrating the use of the “FNS device” for identifying even the slightest individual differences in the activity of human brains using their responses to external standard stimuli show a unique possibility to develop the “individual medicine” of the future.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1134/S1054660X09040434DOIArticle
Additional Information:© 2009 Springer. Received: 21 October 2008 Published online: 9 April 2009. This study was supported in part by the Russian Foundation for Basic Research, projects no. 08-02-00230a and 08-02-00123a.
Funders:
Funding AgencyGrant Number
Russian Foundation for Basic Research08-02-00230a
Russian Foundation for Basic Research08-02-00123a
Issue or Number:4
Classification Code:PACS numbers: 02.70.Hm, 87.50.W-, 87.85.dm, 87.85.Ng, 89.75.-k
Record Number:CaltechAUTHORS:20090706-141949516
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20090706-141949516
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:14499
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:11 Aug 2009 14:52
Last Modified:03 Oct 2019 00:50

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