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Reconstruction of Depth-EEG Signals: a spatiotemporal model to simulate realistic epileptic activities

Abstract : The aim of this work is to interpret the signals recorded by depth-EEG electrodes in epileptic patients. In particular we focused on understanding the relationship that links between recorded SEEG signals and the underlying epileptic neural populations. For this purpose, we used an extended spatiotemporal source model and solved the forward problem to calculate the contribution of the source activity on each contact of the inserted electrodes. As a result we could infer from different configurations of the sources the effect of some parameters on the collected signals. The results of our study show that relying on realistic simulations can help to better understand electrophysiological signals collected in patients with epilepsy.
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-01380120
Contributor : Laurent Jonchère <>
Submitted on : Wednesday, October 12, 2016 - 2:58:18 PM
Last modification on : Friday, February 15, 2019 - 1:29:18 AM

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  • HAL Id : hal-01380120, version 1

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Mohamad Shamas, Isabelle Merlet, Anca Nica, Mahmoud Hassan, Mohamad Khalil, et al.. Reconstruction of Depth-EEG Signals: a spatiotemporal model to simulate realistic epileptic activities. 2015 International Conference On Advances In Biomedical Engineering (icabme), 2015, pp.131--133. ⟨hal-01380120⟩

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