Analysis of structural patterns in the brain with the complex network approach

Vladimir A. Maksimenko; Vladimir V. Makarov; Alexander A. Kharchenko; Alexey N. Pavlov; Marina V. Khramova; Alexey A. Koronovskii; Alexander E. Hramov

doi:10.1117/12.2076738

5 March 2015 Analysis of structural patterns in the brain with the complex network approach

Vladimir A. Maksimenko, Vladimir V. Makarov, Alexander A. Kharchenko, Alexey N. Pavlov, Marina V. Khramova, Alexey A. Koronovskii, Alexander E. Hramov

Author Affiliations +

Proceedings Volume 9322, Dynamics and Fluctuations in Biomedical Photonics XII; 932213 (2015) https://doi.org/10.1117/12.2076738
Event: SPIE BiOS, 2015, San Francisco, California, United States

Abstract

In this paper we study mechanisms of the phase synchronization in a model network of Van der Pol oscillators and in the neural network of the brain by consideration of macroscopic parameters of these networks. As the macroscopic characteristics of the model network we consider a summary signal produced by oscillators. Similar to the model simulations, we study EEG signals reflecting the macroscopic dynamics of neural network. We show that the appearance of the phase synchronization leads to an increased peak in the wavelet spectrum related to the dynamics of synchronized oscillators. The observed correlation between the phase relations of individual elements and the macroscopic characteristics of the whole network provides a way to detect phase synchronization in the neural networks in the cases of normal and pathological activity.

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Vladimir A. Maksimenko, Vladimir V. Makarov, Alexander A. Kharchenko, Alexey N. Pavlov, Marina V. Khramova, Alexey A. Koronovskii, and Alexander E. Hramov "Analysis of structural patterns in the brain with the complex network approach", Proc. SPIE 9322, Dynamics and Fluctuations in Biomedical Photonics XII, 932213 (5 March 2015); https://doi.org/10.1117/12.2076738

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