Microseizures, Ultra-slow & High Frequency Oscillations: Biomarkers of epilepsy

微惊厥，超慢

基本信息

批准号：
8234974
负责人：
Gregory A Worrell
金额：
$ 30.03万
依托单位：
MAYO CLINIC ROCHESTER
依托单位国家：
美国
项目类别：
财政年份：
2009
资助国家：
美国
起止时间：
2009-04-15 至 2014-03-31
项目状态：
已结题

项目摘要

DESCRIPTION (provided by applicant): The goal of this proposal is to localize human epileptic networks by characterizing their electrophysiological activity over a wide range of spatiotemporal scales. Decades of clinical intracranial EEG (IEEG) using restricted spatial (centimeter scale) and temporal (~0.5-100 Hz) bandwidth, based more on tradition than modern neuroscience, have frustrated epileptologists looking for discrete, resectable "electrographic lesions" during evaluation for epilepsy surgery. Similarly, recent efforts to apply direct brain stimulation to abort seizures after they are sufficiently established to be detected on standard clinical macroelectrodes have, so far, met with only partial success. We hypothesize that enhancing the spatial and temporal resolution of clinical intracranial EEG can improve the efficacy of epilepsy surgery and responsive brain stimulation to control seizures. Human epileptic networks produce pathological activity that ranges from seizures and spikes, generated by cubic centimeters of brain tissue, to high frequency oscillations that occur on sub-millimeter dimensions. Recent evidence suggests that important components of these signals are found at frequencies not detected by standard clinical IEEG. Using simultaneous IEEG recordings from microwire arrays and clinical macroelectrodes, our group has begun to characterize two potential signatures of epileptogenic brain, high frequency oscillations and "micro-seizures," that are outside the resolution of conventional clinical IEEG. In this application, we propose analysis of continuous, high-resolution, wide- bandwidth IEEG recorded simultaneously from microwire arrays and clinical macroelectrodes in order to localize human epileptic networks. We will correlate our findings with surgical outcome, prospectively, in a cohort of patients undergoing evaluation for epilepsy surgery. This work builds upon our established effort in Translational Neuroengineering melding state of the art epilepsy care with cutting-edge research. PUBLIC HEALTH RELEVANCE The neuronal networks of human epileptic brain are multiscale; extending from cellular assemblies organized on the scale of cortical columns (~300 - 600 <m) to large-scale networks organized over lobar structures. These pathological networks generate oscillations over a wide range of frequency (0.01 - 1000 Hz) and spatial scales not probed by clinical EEG. Our laboratory and others have identified pathological network oscillations occurring outside the range of clinical IEEG that appear to be signatures of the epileptogenic zone.

描述（由申请人提供）：该提案的目标是通过在广泛的时空尺度上表征人类癫痫网络的电生理活动来定位人类癫痫网络。几十年来，临床颅内脑电图 (IEEG) 使用受限的空间（厘米级）和时间（~0.5-100 Hz）带宽，更多地基于传统而不是现代神经科学，这让癫痫学家在癫痫评估期间寻找离散的、可切除的“电图病变”感到沮丧外科手术。同样，在癫痫发作足以被标准临床大电极检测到后，最近应用直接脑刺激来中止癫痫发作的努力迄今为止只取得了部分成功。我们假设提高临床颅内脑电图的空间和时间分辨率可以提高癫痫手术和响应性脑刺激控制癫痫发作的效果。人类癫痫网络产生的病理活动范围从立方厘米脑组织产生的癫痫发作和尖峰，到亚毫米尺寸上发生的高频振荡。最近的证据表明，这些信号的重要组成部分是在标准临床 IEEG 未检测到的频率下发现的。利用微线阵列和临床大电极的同时 IEEG 记录，我们的小组已经开始表征致癫痫脑的两个潜在特征：高频振荡和“微癫痫发作”，这超出了传统临床 IEEG 的分辨率。在此应用中，我们建议对从微线阵列和临床大电极同时记录的连续、高分辨率、宽带 IEEG 进行分析，以定位人类癫痫网络。我们将前瞻性地将我们的研究结果与接受癫痫手术评估的患者队列的手术结果相关联。这项工作建立在我们将最先进的癫痫护理与前沿研究相融合的转化神经工程方面的既定努力的基础上。公共卫生相关性人类癫痫大脑的神经元网络是多尺度的；从以皮质柱（~300 - 600 <m）规模组织的细胞组件扩展到以脑叶结构组织的大规模网络。这些病理网络产生临床脑电图无法探测到的广泛频率（0.01 - 1000 Hz）和空间尺度的振荡。我们的实验室和其他实验室已经确定了临床 IEEG 范围之外发生的病理网络振荡，这似乎是致痫区的特征。