Encyclopedia of Computational Neuroscience

2015 Edition
| Editors: Dieter Jaeger, Ranu Jung

Epilepsy: Computational Models

Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-6675-8_504

Detailed Description

Epilepsy is a serious neurological disorder characterized by spontaneous recurrent seizures. In the electroencephalogram (EEG) of patients with epilepsy, one may observe seizures (ictal events) and interictal events, e.g., epileptic spikes or spike-waves. These events are characterized by a short duration and rapid onset and offset. The real problem is that about 30 % of the current population of 60 million patients with epilepsy does not respond to any treatment (Kwan and Brodie 2000). This problem is mostly due to an incomplete understanding of the mechanisms that underlie this pathology (e.g., van Drongelen 2007). As is the case for many other neurological diseases, this directly relates to a poor understanding of network function in general. Because of lack of experimental tools for studying network behavior at sufficient scale with the associated detail (e.g., van Drongelen 2010), there is a significant role for modeling in this field (e.g., Blenkinsop et al. 2012...

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Notes

Acknowledgements

This work was supported by the Dr. Ralph and Marian Falk Medical Research Trust.

Parts of the text are modified from van Drongelen (2013) and van Gils et al. (2013).

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Further Reading

  1. Coombes S (2005) Waves, bumps, and patterns in neural field theories. Biol Cybern 93(2):91–108PubMedGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Department of Applied MathematicsUniversity of TwenteEnschedeThe Netherlands
  2. 2.Department of PediatricsThe University of ChicagoChicagoUSA