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Epilepsy and Nonlinear Dynamics

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Abstract

This overview summarizes findings obtained from analyzing electroencephalographic (EEG) recordings from epilepsy patients with methods from the theory of nonlinear dynamical systems. The last two decades have shown that nonlinear time series analysis techniques allow an improved characterization of epileptic brain states and help to gain deeper insights into the spatial and temporal dynamics of the epileptic process. Nonlinear EEG analyses can help to improve the evaluation of patients prior to neurosurgery, and with an unequivocal identification of precursors of seizures, they can be of great value in the development of seizure warning and prevention techniques.

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Acknowledgements

Thanks to the members of the Neurophysics group at the Department of Epileptology, University of Bonn, and to Peter David, Christian Elger, Peter Grassberger, Holger Kantz, Brian Litt, Rodrigo Quian Quiroga, Kaspar Schindler, Thomas Schreiber, Ronald Tetzlaff, Bruno Weber, and Michal Zochowski for their valuable contributions. This work was supported by the Deutsche Forschungsgemeinschaft.

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  1. Department of Epileptology, and Helmholtz-Institute for Radiation and Nuclear Physics, and Interdisciplinary Center for Complex Systems, University of Bonn, Bonn, Germany

    Klaus Lehnertz

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Lehnertz, K. Epilepsy and Nonlinear Dynamics. J Biol Phys 34, 253–266 (2008). https://doi.org/10.1007/s10867-008-9090-3

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