Title :
Directed epileptic network from scalp and intracranial EEG of epileptic patients
Author :
Amini, L. ; Jutten, Christian ; Achard, S. ; David, O. ; Soltanian-Zadeh, H. ; Hossein-Zadeh, G.A. ; Kahane, P. ; Minotti, L. ; Vercueil, L.
Author_Institution :
GIPSA-Lab., Grenoble INP, Grenoble, France
Abstract :
We proposed recently the computation of epileptic connectivity graphs based on wavelet correlation coefficients between EEG signals. The suspected epileptiform electrodes are recognized using the clustering of the topological properties of the graph that can be useful for pre-surgical studies. Here, we present a method for comparing epileptic networks estimated from scalp and intracranial EEG (IEEG) in partial epilepsy patients. The results are presented for a patient with left temporal epilepsy. Good spatial correspondence between the IEEG and the scalp EEG epileptic graphs is obtained. These results are consistent with the patient´s clinical diagnosis.
Keywords :
biomedical electrodes; directed graphs; electroencephalography; medical signal processing; directed epileptic network; epileptic connectivity graph; epileptic patients; epileptiform electrodes; intracranial EEG; scalp EEG; wavelet correlation coefficients; Control systems; Electrodes; Electroencephalography; Epilepsy; Indium phosphide; Process control; Radio control; Scalp; Surgery; Time frequency analysis;
Conference_Titel :
Machine Learning for Signal Processing, 2009. MLSP 2009. IEEE International Workshop on
Conference_Location :
Grenoble
Print_ISBN :
978-1-4244-4947-7
Electronic_ISBN :
978-1-4244-4948-4
DOI :
10.1109/MLSP.2009.5306245