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An epileptic focus location method based on ECoG

Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 4th International Conference on Biomedical Engineering and Biotechnology, 18–21 August 2015, Shanghai, China

Guest editors: Feng Liu, Dong-Hoon Lee, Ricardo Lagoa and Sandeep Kumar

Article type: Research Article

Authors: Tang, Xiaoying | Zhang, Xiying | Cai, Dongqin | Du, Juncheng | Liu, Weifeng; *

Affiliations: School of Life Science, Beijing Institute of Technology, Beijing 100081, China

Correspondence: [*] Address for correspondence: Weifeng Liu, School of Life Science, Beijing Institute of Technology, Beijing 100081, China. Tel.: 010-68912393; Fax: 010-68912393; E-mail: [email protected].

Note: [1] The study is supported by National Natural Science Foundation of China (81471743), Basic Research Funds of Beijing Institute of Technology (20131642008).

Keywords: Epilepsy, ECoG, wavelet entropy, correlation, CFC

DOI: 10.3233/BME-151401

Journal: Bio-Medical Materials and Engineering, vol. 26, no. s1, pp. S1053-S1058, 2015

Published: 2015
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Epilepsy is a neurological disorder characterized by the sudden abnormal discharging of brain neurons that can lead to encephalographic (EEG) abnormalities. In this study, data was obtained from epileptic patients with intracranial depth electrodes and analyzed using wavelet entropy algorithms in order to locate the epileptic foci. Significant increases in the wavelet entropy of the epileptic signals were identified during multiple episodes of clinical seizures. The results indicated that the algorithm was capable of identifying entropy changes in the epileptic sources. Furthermore, the correlations among the electrocorticogram (ECoG) signals of different channels determined using the amplitude-amplitude coupling method verified that the epileptic foci exhibited significantly higher coupling strengths. Thus, cross frequency coupling (CFC) could be an inspiration to energy and signal transitive mode of seizure and, thereby, improve diagnostic processes.

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