Characterizing epileptic spikes as travelling waves using high-density EEG

使用高密度脑电图将癫痫尖峰表征为行波

• 批准号: 9344711
• 负责人: Melanie Boly
• 金额: $ 7.65万
• 依托单位: UNIVERSITY OF WISCONSIN-MADISON
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-15 至 2018-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9344711
• 关键词: Adverse event; Affect; Agreement; Algorithmic Analysis; Algorithms; Area; Brain; Cerebral cortex; Clinical; Clinics and Hospitals; Collaborations; Complement; Computer software; Data; Data Set; Development; Electroencephalography; Epilepsy; Etiology; Evaluation; Event; Excision; Freedom; Gold; Human; Individual; Italy; Lead; Location; Medical; Monitor; Neural Pathways; Operative Surgical Procedures; Pathologic; Pathway interactions; Patients; Pattern; Pharmaceutical Preparations; Physiological; Postoperative Period; Procedures; Refractory; Reproducibility; Rest; Route; Scalp structure; Seizures; Signal Transduction; Slow-Wave Sleep; Source; Techniques; Travel; Universities; Work; base; causal model; density; improved; individual patient; non rapid eye movement; novel; reconstruction; source localization; space travel; temporal measurement; tool; white matter

Scientific abstract Epilepsy affects over 60 millions of individuals worldwide. It is estimated that 30 to 40% of epilepsy patients have refractory epilepsy. Surgery may be offered to some patients who are refractory to medical therapy. While better seizure freedom rates are commonly achieved with comprehensive resective surgery, it may be associated with postoperative deficits depending on the area of resection. Pre-surgical evaluation often involves scalp EEG followed in some cases by intracranial monitoring techniques can help localizing seizure onset zone. These procedures are however are often very invasive and have potential for adverse events. High density EEG offers a potential non-invasive alternative to accurately localize epileptic onset zone in individual patients. To date, most high-density EEG studies focused on source reconstruction of scalp spike power [1] and did not take advantage of the high temporal resolution offered by EEG signals to explicitly study spike origin and propagation dynamics. Here we propose to use algorithms previously developed by our team to assess the cortical propagation of discrete EEG events such as sleep slow waves and spindles [2] to characterize the origins and propagation patterns of epileptic spikes captured using high-density EEG recordings. We plan to characterize reproducibility of origins and propagation patterns of epileptic spikes both at the scalp level and in source space, and compare the results obtained using high-density EEG to the ones obtained using intracranial recordings performed in the same patients. We will complement this study by directional connectivity assessments using Granger causality and Dynamic Causal Modeling. If successful, this approach will provide useful information to guide selective resection surgery in drug-refractory epileptic patients, potentially circumventing the need for invasive studies.   1

科学抽象 癫痫影响全世界超过6000万人。据估计，30%至40%的癫痫患者 患有难治性癫痫对于某些药物治疗无效的患者，可以进行手术治疗。而 综合性切除手术通常可以获得更好的癫痫发作自由率， 与术后缺损相关，取决于切除区域。术前评估通常 包括头皮脑电图，在某些情况下，颅内监测技术可以帮助定位癫痫发作 起始区然而，这些程序通常是非常侵入性的，并且有可能发生不良事件。高 密度脑电图提供了一个潜在的非侵入性的替代准确定位癫痫发作区在个人 患者迄今为止，大多数高密度EEG研究集中在头皮尖峰功率的源重建[1]。 并且没有利用EEG信号提供的高时间分辨率来明确地研究棘波 起源和传播动力学。在这里，我们建议使用我们团队以前开发的算法， 评估离散EEG事件（如睡眠慢波和纺锤波）的皮层传播， 描述使用高密度EEG捕获的癫痫棘波的起源和传播模式 录音.我们计划表征癫痫棘波起源和传播模式的可重复性， 在头皮水平和在源空间，并比较使用高密度EEG获得的结果， 使用在相同患者中进行的颅内记录获得。我们将通过以下方式补充这项研究： 使用格兰杰因果关系和动态因果模型进行定向连通性评估。如果成功，这 本研究为指导药物难治性癫痫的选择性切除手术提供了有用的信息 患者，潜在地规避了侵入性研究的需要。   1