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

PUBLISHED May 24, 2023 (DOI: https://doi.org/10.54985/peeref.2305p6428893)

NOT PEER REVIEWED

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

No data provided

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.
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Gerster, M., Berner, R., Sawicki, J., Zakharova, A., Škoch, A., Hlinka, J., Lehnertz, K., Schöll, E. FitzHugh–Nagumo oscillators on complex networks mimic epileptic-seizure-related synchronization phenomena [not peer reviewed]. Peeref 2023 (poster).
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