STROKE MONITORING WITH DENSE-ARRAY EEG

最近使用溶栓药物有效地治疗缺血性中风标志着对抗这种常见神经系统疾病的运动的里程碑。虽然这是一个重大的进步，但这种治疗并不适合所有患者，例如那些正在经历出血性中风或中风发作后超过三小时接受治疗的患者。医院工作人员可以使用计算机断层扫描（CT）扫描，以轻松地排除寄生虫。然而，更困难的是估计治疗时间窗。晚期治疗仍然会带来溶栓治疗的出血风险，但它面临着神经组织越来越不确定的状态。一种快速、廉价和无创的脑监测技术可以帮助医院工作人员确定神经组织状态以及评估溶栓治疗的有效性。在这个第一阶段的项目中，我们将使用密集阵列脑电图（EEG）收集近连续的，中风相关的EEG，以便我们可以评估正在进行的缺血组织的病理生理演变。原始EEG数据的频谱和相干分析将使我们能够表征这些记录中的EEG变化。这项工作的结果将有助于开发一种基于密集阵列EEG的快速、廉价、无创、准确的中风监测设备。拟议的商业应用：EEG对卒中相关病理生理学高度敏感。它在外科手术监测中的应用是众所周知的，然而，迄今为止，它作为一种实用、廉价的中风监测技术的潜力一直被忽视。如果我们能够证明与中风相关的脑电图变化可以帮助指导治疗决策，那么每家治疗急性中风的医院和诊所都需要这种监测系统--这显然是一个有利可图的前景，全球市场潜力接近10亿美元。

The recent use of thrombolytic drugs to effectively treat ischemic stroke marks a milestone in the campaign against this common neurological disease. Although a significant advancement, this treatment is not suitable for all patients, such as those who are experiencing a hemorrhagic stroke or those receiving treatment more than three hours after stroke onset. Hospital staff can use computed tomography (CT) scans to easily rule out hemorrhages. More difficult, however, is estimating the therapeutic window of time. Late treatment still brings the hemorrhagic risk of thrombolytic treatment, but it faces an increasingly uncertain state of the neural tissue. A rapid, inexpensive, and noninvasive cerebral monitoring technique could help hospital staff to determine neural-tissue state as well as to assess the effectiveness of thrombolytic treatment. In this Phase I project, we will use dense-array electroencephalography (EEG) to collect near-continuous, stroke-related EEG so that we can evaluate the ongoing pathophysiological evolution of the ischemic tissue. Spectral and coherence analyses of the raw EEG data will enable us to characterize EEG changes in these records. The results from this work will go toward the development of a rapid, inexpensive, noninvasive, accurate stroke-monitoring device based on dense-array EEG. PROPOSED COMMERCIAL APPLICATIONS: EEG is highly sensitive to stroke-related pathophysiology. Its use in surgical monitoring is well known; however, its potential as a practical, inexpensive stroke-monitoring technology heretofore has been overlooked. If we can demonstrate that stroke-related EEG changes can help inform treatment decisions, every hospital and clinic treating acute stroke would require this monitoring system -an obviously lucrative prospect, with a worldwide market potential approaching $1 billion.