Localization of Distributed EEG Sources in the Context of Epilepsy: A Simulation Study

Hanna Becker 1, * Laurent Albera 2 Pierre Comon 3 Rémi Gribonval 4 Fabrice Wendling 2 Isabelle Merlet 2
* Auteur correspondant
3 GIPSA-CICS - CICS
GIPSA-DIS - Département Images et Signal
4 PANAMA - Parcimonie et Nouveaux Algorithmes pour le Signal et la Modélisation Audio
Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : Objective: Surface EEG recordings are routinely performed for the diagnosis and management of epilepsy. More particularly, they can help to delineate the brain regions involved in interictal epileptic activity. This is achieved by applying distributed source localization algorithms to the EEG data. Over the last two decades, a multitude of different methods have been proposed. The objective of this paper consists in comparing the performance of eight representative algorithms taking into account recently developed methods. Methods: The performance comparison is based on realistic computer simulations in the context of epileptic source localization. Main findings: All tested algorithms generally permit to identify the source positions, but only some algorithms (STWV-DA, 4-ExSo-MUSIC, SVB-SCCD, cLORETA) also give an indication of the spatial extent of the sources. Localizing deep and mesial sources remains a challenging problem.
Type de document :
Article dans une revue
IRBM, Elsevier Masson, 2016, 〈10.1016/j.irbm.2016.04.001〉
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https://hal.archives-ouvertes.fr/hal-01359237
Contributeur : Hanna Becker <>
Soumis le : vendredi 2 septembre 2016 - 09:46:32
Dernière modification le : mardi 16 janvier 2018 - 15:54:22
Document(s) archivé(s) le : dimanche 4 décembre 2016 - 08:03:44

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Hanna Becker, Laurent Albera, Pierre Comon, Rémi Gribonval, Fabrice Wendling, et al.. Localization of Distributed EEG Sources in the Context of Epilepsy: A Simulation Study. IRBM, Elsevier Masson, 2016, 〈10.1016/j.irbm.2016.04.001〉. 〈hal-01359237〉

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