Directed differential connectivity graph of interictal epileptiform discharges

Ladan Amini 1, 2, * Christian Jutten 3, 1 Sophie Achard 4 Olivier David 5, 6 Hamid Soltanian-Zadeh 2, 7 Gh. Ali Hossein-Zadeh 2 Philippe Kahane 5, 6 Lorella Minotti 5, 6 Laurent Vercueil 5, 6
* Auteur correspondant
1 GIPSA-VIBS - VIBS
GIPSA-DIS - Département Images et Signal
2 CIPCE - Control and Intelligent Processing Center of Excellence - University of Tehran
3 IUF - Institut Universitaire de France
4 GIPSA-CICS - CICS
GIPSA-DIS - Département Images et Signal
5 GIN - Grenoble Institut des Neurosciences
6 Département de neurologie
7 Radiology Image Analysis Laboratory
Abstract : In this paper, we study temporal couplings between interictal events of spatially remote regions in order to localize the leading epileptic regions from intracerebral EEG (iEEG). We aim to assess whether quantitative epileptic graph analysis during interictal period may be helpful to predict the seizure onset zone of ictal iEEG. Using wavelet transform, cross-correlation coefficient, and multiple hypothesis test, we propose a differential connectivity graph (DCG) to represent the connections that change significantly between epileptic and nonepileptic states as defined by the interictal events. Postprocessings based on mutual information and multiobjective optimization are proposed to localize the leading epileptic regions through DCG. The suggested approach is applied on iEEG recordings of five patients suffering from focal epilepsy. Quantitative comparisons of the proposed epileptic regions within ictal onset zones detected by visual inspection and using electrically stimulated seizures, reveal good performance of the present method.
Keywords : functional connectivity graph Epilepsy wavelet cross-correlation coefficient permutation-based multiple hypothesis test intracerebral EEG wavelet cross-correlation coefficient.
Type de document :
Article dans une revue
IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2011, 58 (4), pp.884-93. 〈10.1109/TBME.2010.2099227〉
Liste complète des métadonnées

Littérature citée [35 références]  Voir  Masquer  Télécharger
http://www.hal.inserm.fr/inserm-00613113
Contributeur : Olivier David <>
Soumis le : lundi 8 août 2011 - 19:08:53
Dernière modification le : lundi 9 avril 2018 - 12:22:45
Document(s) archivé(s) le : lundi 12 novembre 2012 - 15:12:22

Fichiers

paperSubmitted.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

U836 | GIPSA-CICS | UGA | GIPSA-VIBS | GIPSA-DIS | GIPSA | UGA-TEST-TER

Citation

Ladan Amini, Christian Jutten, Sophie Achard, Olivier David, Hamid Soltanian-Zadeh, et al.. Directed differential connectivity graph of interictal epileptiform discharges. IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2011, 58 (4), pp.884-93. 〈10.1109/TBME.2010.2099227〉. 〈inserm-00613113〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

779

Téléchargements de fichiers

856

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD