Macroscopic and Microscopic Spectral Properties of Multilayer Brain Networks during Local and Global Synchronization
Abstract
We introduce a practical and computationally not demanding technique for inferring interactions at various microscopic levels between the units of a network from the measurements and the processing of macroscopic signals. Starting from a network model of Kuramoto phase oscillators which evolve adaptively according to homophilic and homeostatic adaptive principles, we give evidence that the increase of synchronization within groups of nodes (and the corresponding formation of synchronous clusters) causes also the defragmentation of the wavelet energy spectrum of the macroscopic signal. Our methodology is then applied for getting a glance to the microscopic interactions occurring in a neurophysiological system, namely, in the thalamo-cortical neural network of an epileptic brain of a rat, where the group electrical activity is registered by means of multichannel EEG. We demonstrate that it is possible to infer the degree of interaction between the interconnected regions of the brain during different types of brain activities, and to estimate the regions' participation in the generation of the different levels of consciousness.
Keywords
Cite
@article{arxiv.1704.02490,
title = {Macroscopic and Microscopic Spectral Properties of Multilayer Brain Networks during Local and Global Synchronization},
author = {Vladimir A. Maksimenko and Annika Lüttjohann and Vladimir V. Makarov and Mikhail V. Goremyko and Alexey A. Koronovskii and Anastasia E. Runnova and Gilles van Luijtelaar and Alexander E. Hramov and Stefano Boccaletti},
journal= {arXiv preprint arXiv:1704.02490},
year = {2017}
}