DocumentCode :
1771573
Title :
Epileptic network activity revealed by dynamic functional connectivity in simultaneous EEG-fMRI
Author :
Preti, Maria Giulia ; Leonardi, Nora ; Karahanoglu, F. Isik ; Grouiller, Frederic ; Genetti, Melanie ; Seeck, Margina ; Vulliemoz, Serge ; Van De Ville, Dimitri
Author_Institution :
Inst. of Bioeng., Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland
fYear :
2014
fDate :
April 29 2014-May 2 2014
Firstpage :
9
Lastpage :
12
Abstract :
Recent findings highlighted the non-stationarity of brain functional connectivity (FC) during resting-state functional magnetic resonance imaging (fMRI), encouraging the development of methods allowing to explore brain network dynamics. This appears particularly relevant when dealing with brain diseases involving dynamic neuronal processes, like epilepsy. In this study, we introduce a new method to pinpoint connectivity changes related to epileptic activity by integrating EEG and dynamic FC information. To our knowledge, no previous work has attempted to integrate dFC with the epileptic activity from EEG. The detailed results obtained from the analysis of two patients successfully detected specific patterns of connections/disconnections related to the epileptic activity and highlighted the potential of a dynamic analysis for a better understanding of network organisation in epilepsy.
Keywords :
biomedical MRI; diseases; electroencephalography; medical disorders; medical image processing; medical signal processing; neurophysiology; brain diseases; brain network dynamics; dynamic brain functional connectivity; dynamic neuronal processes; electroencephalography; epilepsy; epileptic network activity; network organisation; resting-state functional magnetic resonance imaging; simultaneous EEG-fMRI; Biomedical imaging; Correlation; Educational institutions; Electroencephalography; Epilepsy; Magnetic resonance imaging; Symmetric matrices; dynamic functional connectivity; epilepsy; functional MRI;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/ISBI.2014.6867796
Filename :
6867796
Link To Document :
بازگشت