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Slow Oscillations and Epilepsy: Network Models

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Encyclopedia of Computational Neuroscience
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Definition

Network models are very useful tools to investigate the genesis of oscillatory behavior such as epileptic seizures. During many types of seizures, the brain produces oscillatory spike-and-wave discharges, which are particularly prominent for absence seizures. It was found that the thalamocortical mechanisms leading to spindle oscillations and their large-scale synchrony can explain spike-and-wave oscillations, if the excitability of the cerebral cortex is augmented. These pathological oscillations can be reproduced by network models involving the reciprocal interaction between thalamus and cortex.

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Introduction

Many types of epileptic seizures display very synchronized oscillations producing a typical electroencephalogram (EEG) pattern consisting of one or several sharp deflections (“spikes”) followed by a surface-positive “wave.” Spike-and-wave patterns of similar characteristics are also seen in a number of experimental models in cats, rats, mice, and...

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Correspondence to Alain Destexhe .

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Destexhe, A. (2014). Slow Oscillations and Epilepsy: Network Models. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_19-1

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  • DOI: https://doi.org/10.1007/978-1-4614-7320-6_19-1

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  • Online ISBN: 978-1-4614-7320-6

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