A research on epilepsy source localization from scalp electroencephalograph based on patient-specific head model and multi-dipole model.
10.7507/1001-5515.202209045
- Author:
Ruowei QU
1
;
Zhaonan WANG
2
;
Shifeng WANG
3
;
Yao WANG
4
;
Le WANG
5
;
Shaoya YIN
5
;
Junhua GU
1
;
Guizhi XU
1
Author Information
1. State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300401, P. R. China.
2. School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300130, P. R. China.
3. Tianjin Universal Medical Imaging Diagnostic Center, Tianjin 300110, P. R. China.
4. School of Electrical Engineering, Hebei University of Science, Shijiazhuang 050091, P. R. China.
5. Department of Functional Neurosurgery, Huanhu Hospital, Tianjin 300350, P. R. China.
- Publication Type:Journal Article
- Keywords:
Biological electromagnetic inverse problem;
Epilepsy;
Epileptogenic zone localization;
Multi-dipole;
Realistic head model
- MeSH:
Humans;
Scalp;
Brain Mapping/methods*;
Epilepsy/diagnosis*;
Electroencephalography/methods*;
Brain
- From:
Journal of Biomedical Engineering
2023;40(2):272-279
- CountryChina
- Language:Chinese
-
Abstract:
Accurate source localization of the epileptogenic zone (EZ) is the primary condition of surgical removal of EZ. The traditional localization results based on three-dimensional ball model or standard head model may cause errors. This study intended to localize the EZ by using the patient-specific head model and multi-dipole algorithms using spikes during sleep. Then the current density distribution on the cortex was computed and used to construct the phase transfer entropy functional connectivity network between different brain areas to obtain the localization of EZ. The experiment result showed that our improved methods could reach the accuracy of 89.27% and the number of implanted electrodes could be reduced by (19.34 ± 7.15)%. This work can not only improve the accuracy of EZ localization, but also reduce the additional injury and potential risk caused by preoperative examination and surgical operation, and provide a more intuitive and effective reference for neurosurgeons to make surgical plans.
