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