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Interictal spikes, fast ripples and seizures in partial epilepsies - combining multi-level computational models with experimental data.
Wendling F., Bartolomei F., Mina F., Huneau C., Benquet P.
European Journal of Neuroscience 36, 2 (2012) 2164-77 - http://www.hal.inserm.fr/inserm-00728701
(22805062)
Interictal spikes, fast ripples and seizures in partial epilepsies - combining multi-level computational models with experimental data.
Fabrice Wendling () 1, Fabrice Bartolomei2, 3, Faten Mina1, Clémént Huneau1, Pascal Benquet1
1 :  LTSI - Laboratoire Traitement du Signal et de l'Image
http://www.ltsi.univ-rennes1.fr/
INSERM : U642 – Université de Rennes 1
Campus de Beaulieu, 263 Avenue du Général Leclerc - CS 74205 - 35042 Rennes Cedex
France
2 :  Service de Neurophysiologie Clinique
AP-HM – Hôpital La Timone
264, rue Saint Pierre 13385 Marseille Cedex 5
France
3 :  Epilepsies, Lesions Cerebrales et Systemes Neuraux de la Cognition
INSERM : U751 – Université de la Méditerranée - Aix-Marseille II
Faculté de Médecine Secteur Timone 27, Boulevard Jean Moulin 13385 Marseille cedex 5
France
computational and experimental models of epilepsy
Epileptic seizures, epileptic spikes and high-frequency oscillations (HFOs) are recognized as three electrophysiological markers of epileptogenic neuronal systems. It can be reasonably hypothesized that distinct (hyper)excitability mechanisms underlie these electrophysiological signatures. The question is 'What are these mechanisms?'. Solving this difficult question would considerably help our understanding of epileptogenic processes and would also advance our interpretation of electrophysiological signals. In this paper, we show how computational models of brain epileptic activity can be used to address this issue. With a special emphasis on the hippocampal activity recorded in various experimental models (in vivo and in vitro) as well as in epileptic patients, we confront results and insights we can get from computational models lying at two different levels of description, namely macroscopic (neural mass) and microscopic (detailed network of neurons). At each level, we show how spikes, seizures and HFOs can (or cannot) be generated depending on the model features. The replication of observed signals, the prediction of possible mechanisms as well as their experimental validation are described and discussed; as are the advantages and limitations of the two modelling approaches.
Sciences du Vivant/Ingénierie biomédicale
Sciences de l'ingénieur/Traitement du signal et de l'image
Informatique/Traitement du signal et de l'image
Informatique/Modélisation et simulation
Mathématiques/Systèmes dynamiques
Sciences cognitives/Neurosciences
Anglais
0953-816X

Articles dans des revues avec comité de lecture
10.1111/j.1460-9568.2012.08039.x
European Journal of Neuroscience (Eur J Neurosci)
Publisher Wiley-Blackwell
ISSN 0953-816X (eISSN : 1460-9568)
internationale
07/2012
36
2
2164-77

epilepsy – models – computational – in vivo – in vitro – interictal spikes – fast ripples – seizures
This work was supported by "Region Bretagne" (CREATE 2009, " EPIGONE " project).
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