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.
Similar content being viewed by others
References
R. M. Rangayyan, Biomedical Signal Analysis: A Case-Study Approach (IEEE Press, Wiley-Interscience, New York, 2002).
H. E. Stanley, L. A. N. Amaral, A. L. Goldberger, S. Havlin, P. Ch. Ivanov, and C.-K. Peng, Physica A 270, 309 (1999).
C.-K. Peng, J. Mietus, J. M. Hausdorff, S. Havlin, H. E. Stanley, and A. L. Goldberger, Phys. Rev. Lett. 70, 1343 (1993).
C.-K. Peng, S. Havlin, H. E. Stanley, and A. L. Goldberger, Chaos 5, 82 (1995).
P. Ch. Ivanov, M. G. Rosenblum, C.-K. Peng, J. Mietus, S. Havlin, H. E. Stanley, and A. L. Goldberger, Nature 383, 323 (1996).
J. B. Bassingthwaighte, L. S. Liebovitch, and B. J. West, Fractal Physiology (Oxford Univ., New York, 1994).
N. Sapir, R. Karasik, S. Havlin, E. Simon, and J. M. Hausdorff, Phys. Rev. E 67, 031903 (2003).
R. M. Yulmetyev, D. Yulmetyeva, and F. M. Gafarov, Physica A 354, 404 (2005).
R. M. Yulmetyev, S. A. Demin, O. Yu. Panischev, P. Hänggi, S. F. Timashev, and G. V. Vstovsky, Physica A 369, 655 (2006).
A. R. Muotri and F. H. Gage, Nature 441, 1087 (2006).
J. S. Nicolis, Dynamics of Hierarchical Systems: An Evolutionary Approach (Springer, Berlin, 1986).
S. F. Timashev, Flicker-Noise Spectroscopy: Information in Chaotic Signals (Fizmatlit, Moscow, 2007) [in Russian].
S. F. Timashev, Russ. J. Electrochem. 42, 424 (2006).
S. F. Timashev and Yu. S. Polyakov, Fluct. Noise Lett. 7, R15 (2007).
S. F. Timashev and Yu. S. Polyakov, Int. J. Bifur. Chaos 18, (2008, in press).
J. Bhattacharya, K. Watanabe, and S. Shimojo, Int. J. Bifur. Chaos 14, 2701 (2004).
K. Watanabe, T. Imada, K. Nihei, and S. Shimojo, Neuroreport 13, 1 (2002).
R. M. Yulmetyev, D. G. Yulmetyeva, P. Hänggi, S. Shimojo, and J. Bhattacharya, JETP 104, 644 (2007).
R. M. Yulmetyev, P. Hänggi, D. G. Yulmetyeva, S. Shimojo, E. V. Khusaenova, K. Watanabe, and J. Bhattacharya, Physica A 383, 443 (2007).
V. A. Kotelnikov, in Proc. of the 1st All-Union Conf. on the Technological Reconstruction of the Communication Sector and the Development of Low-Current Engineering, Moscow, Russia, 1933 (Vsesoyuznyi Energeticheskii Komitet, Upravlenie Svyazi RKKA, Moscow, 1933).
R. Metzler and J. Klafter, Phys. Rep. 339, 1 (2000).
A. I. Olemskoi and D. O. Kharchenko, Self-Organization of Self-Similar Stochastic Systems (R&C Dynamics, Institute for Computer Research, 2007) [in Russian].
V. V. Uchaikin, Phys. Usp. 46, 821 (2003).
M. Gitterman, Phys. Rev. E 62, 6065 (2000).
G. M. Zaslavsky, Physics of Chaos in Hamiltonian System, 2nd ed. (Imperial College Press, London, 2007).
A. Zoia, A. Rosso, and M. Kardar, Phys. Rev. E 76, 021116 (2007).
A. N. Tikhonov and A. A. Samarskii, Equations of Mathematical Physics, 2nd ed. (Dover, New York, 1990).
I. S. Gradshteyn and I. M. Ryzhik, Table of Integrals, Series, and Products, 7th ed. (Academic, New York, 2007).
Author information
Authors and Affiliations
Corresponding author
Additional information
Original Text © Astro, Ltd., 2009.
The article is published in the original.
Rights and permissions
About this article
Cite this article
Timashev, S.F., Polyakov, Y.S., Yulmetyev, R.M. et al. Analysis of biomedical signals by flicker-noise spectroscopy: Identification of photosensitive epilepsy using magnetoencephalograms. Laser Phys. 19, 836–854 (2009). https://doi.org/10.1134/S1054660X09040434
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S1054660X09040434