Contribution in analyzing directional propagation flow in EEG recordings investigating entropic methods and realistic physiological models

Abstract : Our objective is to analyze EEG signals recorded with depth electrodes during seizures in patients with drug-resistant epilepsy. Usually, different phases are observed during the seizure process, including a fast onset activity (FOA). We aim to determine how cerebral structures get involved during this FOA, in particular whether some structures can "drive" some other structures. We compare a transfer entropy based measure with a measure related to linear Granger causality index to detect causal interdependences in multivariate signals generated either by a linear autoregressive model or by a physiology-based model of coupled neuronal populations. Experimental simulation results support the relevance of the new measure for characterizing the information flow for direct and indirect relations.
Type de document :
Communication dans un congrès
Biomedical Engineering and Informatics 2011, Oct 2011, Shanghai, China. 2, pp.703 - 707, 2011, 〈10.1109/BMEI.2011.6098416〉
Liste complète des métadonnées

Littérature citée [9 références]  Voir  Masquer  Télécharger

http://www.hal.inserm.fr/inserm-00770251
Contributeur : Lotfi Senhadji <>
Soumis le : vendredi 4 janvier 2013 - 18:22:05
Dernière modification le : mercredi 16 mai 2018 - 11:23:40
Document(s) archivé(s) le : vendredi 5 avril 2013 - 05:59:12

Fichier

BMEI-1704.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Chunfeng Yang, Régine Le Bouquin Jeannès, Jean-Jacques Bellanger, Fabrice Wendling, Huazhong Shu. Contribution in analyzing directional propagation flow in EEG recordings investigating entropic methods and realistic physiological models. Biomedical Engineering and Informatics 2011, Oct 2011, Shanghai, China. 2, pp.703 - 707, 2011, 〈10.1109/BMEI.2011.6098416〉. 〈inserm-00770251〉

Partager

Métriques

Consultations de la notice

656

Téléchargements de fichiers

176