基于真实头模型与多偶极子算法的癫痫致痫灶脑电溯源方法研究  

A research on epilepsy source localization from scalp electroencephalograph based on patient-specific head model and multi-dipole model

作　　者：屈若为 王召楠 王石峰 王瑶 王乐 尹绍雅[6] 顾军华[1] 徐桂芝[1] QU Ruowei;WANG Zhaonan;WANG Shifeng;WANG Yao;WANG Le;YIN Shaoya;GU Junhua;XU Guizhi(State Key Laboratory of Reliability and Intelligence of Electrical Equipment,Hebei University of Technology,Tianjin 300401,P.R.China;School of Artificial Intelligence and Data Science,Hebei University of Technology,Tianjin 300401,P.R.China;School of Health Sciences and Biomedical Engineering,Hebei University of Technology,Tianjin 300130,P.R.China;Tianjin Universal Medical Imaging Diagnostic Center,Tianjin 300110,P.R.China;School of Electrical Engineering,Hebei University of Science,Shijiazhuang 050091,P.R.China;Department of Functional Neurosurgery,Huanhu Hospital,Tianjin 300350,P.R.China)

机构地区：[1]河北工业大学省部共建电工装备可靠性与智能化国家重点实验室,天津300401 [2]河北工业大学人工智能与数据科学学院,天津300401 [3]河北工业大学生命科学与健康工程学院,天津300130 [4]天津全景医学影像诊断中心,天津300110 [5]河北科技大学电气工程学院,石家庄050091 [6]天津市环湖医院功能神经外科,天津300350

出　　处：《生物医学工程学杂志》2023年第2期272-279,共8页Journal of Biomedical Engineering

基　　金：国家自然科学基金(51977060);河北省省级科技计划项目(19277752D)。

摘　　要：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。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.

关 键 词：致痫灶定位 生物电磁逆问题 多偶极子 真实头模型 癫痫 

分 类 号：TN911.7[电子电信—通信与信息系统] R742.1[电子电信—信息与通信工程]