Publication: A Simple Human Brain Model Reproducing Evoked MEG Based on Neural Field Theory
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2022
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© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.Macro-scale models of the human brain are based on the structure of the connectome in most cases. These models also employ elements of neural field theory. However, they do not take into account the features of neuronal activity propagation observed experimentally. In particular, little attention is paid to the biophysical effects of the EEG source caused by the dynamics of the electric dipole that usually rotates in three-dimensional space, which, in our opinion, is associated with intra-cortical axonal fibres, and not with cortical-cortical connections. In addition, classical approaches do not assume the propagation of activity on a mesoscale in the form of travelling wave. Our model develops the idea of the dynamics of local neural network activity, providing an opportunity to simulate travelling waves of excited neuronal populations. Earlier, we showed the correctness of such approach within the framework of the neural field theory and experimentally confirmed a greater relevance of mesoscale waves in comparison with macro-scale waves in simulations of spontaneous neuronal activity. In this work, we describe a spatial-structural model involving an imitation of mesoscale electrical activity of the brain calculated based on neural field equations with no account for the structure of the connectome. We demonstrate a relevance of these results comparing the simulations with the experimental evoked MEG.
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Burlakov, E. A Simple Human Brain Model Reproducing Evoked MEG Based on Neural Field Theory / Burlakov, E., Verkhlyutov, V., Ushakov, V. // Studies in Computational Intelligence. - 2022. - 1008 SCI. - P. 109-116. - 10.1007/978-3-030-91581-0_15