Epilepsy and Nonlinear Dynamics
- 9 July 2008
- journal article
- research article
- Published by Springer Science and Business Media LLC in Journal of Biological Physics
- Vol. 34 (3-4), 253-266
- https://doi.org/10.1007/s10867-008-9090-3
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.Keywords
This publication has 152 references indexed in Scilit:
- Nonrandom connectivity of the epileptic dentate gyrus predicts a major role for neuronal hubs in seizuresProceedings of the National Academy of Sciences, 2008
- Technology Insight: neuroengineering and epilepsy—designing devices for seizure controlNature Clinical Practice Neurology, 2008
- How generalised are secondarily "generalised" tonic clonic seizures?Journal of Neurology, Neurosurgery & Psychiatry, 2007
- Epilepsy surgeryClinical Medicine, 2007
- A Stochastic Framework for Evaluating Seizure Prediction Algorithms Using Hidden Markov ModelsJournal of Neurophysiology, 2007
- Cortical abnormalities in epilepsy revealed by local EEG synchronyNeuroImage, 2007
- Adult epilepsyThe Lancet, 2006
- Complex networks: Structure and dynamicsPhysics Reports, 2006
- EmbedologyJournal of Statistical Physics, 1991
- Phase space topography and the Lyapunov exponent of electrocorticograms in partial seizuresBrain Topography, 1990