DIRECTED EPILEPTIC NETWORK FROM SCALP AND INTRACRANIAL EEG OF EPILEPTIC PATIENTS

被引：0
|
作者：
Amini, L. [1 ,2 ]
Jutten, C. [1 ]
Achard, S. [1 ]
David, O. [3 ,4 ]
Soltanian-Zadeh, H. [2 ]
Hossein-Zadeh, G. A. [2 ,5 ]
Kahane, P. [3 ,4 ]
Minotti, L. [3 ,4 ]
Vercueil, L. [3 ,4 ]
机构：
[1] Grenoble INP, GIPSA LAB, Domaine Univ BP 46, F-38402 Grenoble, France
[2] Univ Tehran, CIPCE, Tehran, Iran
[3] CHUG, INSERM, GIN U836, Grenoble, France
[4] CHUG, Dept Neurol, Grenoble, France
[5] Henry Ford Hlth Syst, Radiol Image Anal Lab, Detroit, MI 48202 USA
来源：
2009 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING | 2009年
关键词：
TIME; LOCALIZATION; SIGNALS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：458 / +
页数：2
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