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.
精准定位致痫灶是手术切除致痫灶的前提，而传统基于三维球模型或标准头模型模板的溯源结果与真实致痫灶误差较大。本研究拟在构建真实头模型的基础上，利用癫痫患者睡眠期脑电中的痫性发作棘波，通过多偶极子与真实头模型计算出大脑皮层电流密度分布，对致痫灶进行溯源定位。实验结果表明，基于该算法的溯源结果定位准确率为89.27%，可使植入电极的数量减少（19.34 ± 7.15）%。该方法不仅能够提高致痫灶定位准确性，还能够减少术中额外伤害，为神经外科医生制定手术方案提供了更加直观有效的参考。.
Keywords: Biological electromagnetic inverse problem; Epilepsy; Epileptogenic zone localization; Multi-dipole; Realistic head model.