振幅整合脑电图在颞叶癫痫模型中的应用

发布时间：2018-11-02 17:38

【摘要】：目的:探讨振幅整合脑电图(a EEG)在颞叶癫痫模型癫痫脑电记录中的应用价值。方法:选用成年雄性恒河猴4只,应用单侧杏仁核海人酸(2μg/μL)注射法构建颞叶癫痫模型。对模型动物进行定期的头皮脑电监测。脑电记录采用原始脑电图联合量化脑电图同步进行记录。对a EEG上的异常节点进行定位并对同时段的原始脑电图进行回顾性分析,判断其对动物模型的癫痫发作诊断的准确性。结果:排除明显接触不良造成的异常片段后,4只模型动物的a EEG趋势图分析共取得23处与背景活动明显不同的节点。对上述11处节点对应原始脑电图进行分析,均考虑为癫痫发作事件。结论:a EEG趋势图对于该颞叶癫痫模型的癫痫发作诊断具有高度敏感性,在超长程脑电监测中联合应用此方法可对癫痫发作进行快速定位,为实验研究节省大量人力成本。
[Abstract]:Objective: to investigate the value of amplitude integrated electroencephalogram (a EEG) in recording epileptic EEG in temporal lobe epilepsy model. Methods: four adult male rhesus monkeys were injected with kainic acid (2 渭 g / 渭 L) into unilateral amygdaloid nucleus to establish temporal lobe epilepsy model. Regular scalp EEG monitoring was performed on model animals. EEG records were recorded simultaneously by original EEG combined with quantitative EEG. The abnormal nodes on a EEG were located and the original EEG at the same time were analyzed retrospectively to determine the accuracy of the diagnosis of epileptic seizures in animal models. Results: after excluding the abnormal fragments caused by obvious poor contact, the a EEG trend map of 4 model animals obtained 23 nodes which were obviously different from the background activity. The above 11 nodes were analyzed for the original EEG, all of which were considered as epileptic seizures. Conclusion the: a EEG trend map is highly sensitive to the diagnosis of epileptic seizure in the temporal lobe epilepsy model. The combined use of this method in ultra-long term EEG monitoring can rapidly locate the seizure and save a lot of labor cost for the experimental study.
【作者单位】：国家临床重点专科教育部工程技术研究中心;广东省脑功能修复与再生重点实验室;南方医科大学珠江医院神经外科;华南理工大学电子与信息学院;广州中医药大学附属顺德和平外科医院神经外科;中国科学院广州生物医药与健康研究院;华南干细胞与再生医学重点实验室;
【基金】：国家自然科学基金项目(编号:61571196,81501046) 国家科技支撑计划项目(编号:2014BAI03B01) 广东省神经外科临床中心资助项目(编号:2013B020400005) 广东省科技计划项目(编号:2014A020212179)
【分类号】：R-332;R742.1

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