FitzHugh–Nagumo oscillators on complex networks mimic epileptic-seizure-related synchronization phenomena

Authors

Moritz Gerster¹ , Rico Berner¹ , Jakub Sawicki¹ , Anna Zakharova¹ , Antonín Škoch² , Jaroslav Hlinka³ , Klaus Lehnertz⁴ , Eckehard Schöll¹

1. Institut für Theoretische Physik, Technische Universität Berlin
2. National Institute of Mental Health, Klecany, Czech Republic
3. National Institute of Mental Health, Klecany, Czech Republic
4. Department of Epileptology, University of Bonn Medical Centre, Bonn

Conference / event

Bernstein Conference 2021, September 2021 (Virtual)

Poster summary

We study patterns of partial synchronization in a network of FitzHugh–Nagumo oscillators with empirical structural connectivity measured in human subjects. We report the spontaneous occurrence of synchronization phenomena that closely resemble the ones seen during epileptic seizures in humans. We find that a topology with some balance between regularity and randomness favors the self-initiation and self-termination of episodes of seizure-like strong synchronization.

Keywords

Epilepsy, Electroencephalography, Network science, Neuroscience, Non-linear dynamics, Graph theory

Research areas

Systems Science, Medicine, Physics, Neuroscience, Medical Imaging

References

No data provided

Funding

No data provided

Supplemental files

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Additional information

Competing interests

No competing interests were disclosed.

Data availability statement

The datasets generated during and / or analyzed during the current study are available from the corresponding author on reasonable request.

Creative Commons license

Copyright © 2023 Gerster et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.