Abstract
Here we propose and evaluate a new approach to analyse multichannel mesial temporal lobe epilepsy EEG data from eight patients through complex network and synchronization theories. The method employs a Granger causality test to infer the directed connectivity graphs and a wavelet transform based phase synchronization measure whose characteristics allow studying dynamical transitions during epileptic seizures. We present a new combined graph measure that quantifies the level of network hub formation, called network hub out-degree, which closely reflects the level of synchronization observed during the ictus.
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Rodrigues, A.C., Machado, B.S., Florence, G. et al. Brain network dynamics characterization in epileptic seizures. Eur. Phys. J. Spec. Top. 223, 2933–2941 (2014). https://doi.org/10.1140/epjst/e2014-02306-8
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DOI: https://doi.org/10.1140/epjst/e2014-02306-8