Abstract
There is an ample evidence on the existence of traveling waves in the cortex of subhuman animals such as rats, ferrets, monkey, and even birds. These waves have been registered invasively by electrical and optical imaging techniques. Such methodology is not possible in healthy humans. Non-invasive EEG recordings show scalp waves propagation at rates two orders greater than the data obtained invasively in animal experiments. At the same time, it has recently been argued that the traveling waves of both local and global nature do exist in the human cortex. In this article, we report a novel methodology for simulation of EEG spatial dynamics as produced by depolarization waves with parameters taken from animal models. Our simulation of radially propagating waves takes into account the geometry of the surface of the gyri and sulci in the areas of the visual, motor, somatosensory and auditory cortex. The dynamics of the electrical field distribution on the scalp in our simulations is fully consistent with the experimental EEG data recorded in humans.
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Acknowledgements
The work was supported by the NRC “Kurchatov Institute” grant to the last author (№ 1378 from 23.08.2017) on studying the multilevel cognitive organization of the human brain for brain-computer interfaces, in part by RFBR Grants 17-04-02211 to the first author (traveling waves in the human brain) and by ofi-m grant 17-29-02518 (the cognitive-effective structures of the human brain). Raw data for this paper are available at https://github.com/BrainTravelingWaves and http://braintw.org/. The authors have no competing financial interests.
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Verkhlyutov, V.M., Balaev, V.V., Ushakov, V.L., Velichkovsky, B.M. (2019). A Novel Methodology for Simulation of EEG Traveling Waves on the Folding Surface of the Human Cerebral Cortex. In: Kryzhanovsky, B., Dunin-Barkowski, W., Redko, V., Tiumentsev, Y. (eds) Advances in Neural Computation, Machine Learning, and Cognitive Research II. NEUROINFORMATICS 2018. Studies in Computational Intelligence, vol 799. Springer, Cham. https://doi.org/10.1007/978-3-030-01328-8_4
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DOI: https://doi.org/10.1007/978-3-030-01328-8_4
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