Epileptiform oscillations, EEG & seizure prediction

癫痫样振荡，脑电图

• 批准号: 6832791
• 负责人: Gregory A Worrell
• 金额: $ 16.54万
• 依托单位: MAYO CLINIC ROCHESTER
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-01-01 至 2008-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6832791
• 关键词: bioengineering /biomedical engineering; brain electrical activity; brain mapping; clinical research; electrodes; electroencephalography; epilepsy; gap junctions; human subject; interdisciplinary collaboration; longitudinal human study; method development; neocortex; neuropathology; patient oriented research

DESCRIPTION (provided by applicant): Worldwide, 50 million people suffer from epilepsy, and for 25% of these patients the seizures are not controlled by any available medical or surgical treatments. Development of new treatment options and improving the efficacy of epilepsy surgery are presently limited by our poor understanding of how epileptic brain generates spontaneous seizures (ictogenesis). There is accumulating evidence that high-frequency epileptiform oscillations (60 - 500 Hz) are a unique signature of epileptic brain, and play an important role in neocortical seizure ictogenesis [1-3]. As part of a program to develop the principal investigator's (PI) career as a clinician-investigator, we propose a multidisciplinary collaboration between the Mayo Clinic and University of Pennsylvania directed at understanding neocortical ictogenesis and improving the ability to localize regions of epileptogenic brain. This project is an initial step toward a more complete understanding of a common, and difficult to treat, neurological disease. We will develop bioengineering methods to detect and quantify high-frequency epileptiform oscillations (HFEO) from human intracranial EEG recordings. We will investigate the clinical usefulness of HFEO as a signature of epileptogenic brain for epilepsy surgery and seizure prediction. We believe understanding the cellular and network mechanisms underlying HFEO will improve our ability to localize regions of focal epileptogenic brain, an area presently limiting the success of epilepsy surgery, while laying the foundation for the rational development of new therapies such as implantable devices for seizure prediction and prevention. The proposed project will continue a collaboration that combines the neuroscience and neuroengineering strengths of the University of Pennsylvania with the clinical strength of the Mayo Clinic's large surgical epilepsy practice, thus providing a fertile environment for a developing clinician-investigator. The principal investigator has demonstrated potential for independent patient-based research, and with the training provided by this project will develop an independent research program translating advances in neuroengineering and clinical research into clinical practice.

描述（由申请人提供）：全世界有 5000 万人患有癫痫症，其中 25% 的患者的癫痫发作无法通过任何现有的药物或手术治疗得到控制。目前，由于我们对癫痫大脑如何产生自发性癫痫发作（癫痫发生）知之甚少，新的治疗方案的开发和癫痫手术疗效的提高受到限制。越来越多的证据表明，高频癫痫样振荡（60 - 500 Hz）是癫痫脑的独特特征，并且在新皮质癫痫发作中发挥重要作用[1-3]。作为发展首席研究员（PI）作为临床医生研究员的职业生涯的计划的一部分，我们提议梅奥诊所和宾夕法尼亚大学之间进行多学科合作，旨在了解新皮质生成并提高定位致癫痫脑区域的能力。该项目是更全面地了解一种常见且难以治疗的神经系统疾病的第一步。我们将开发生物工程方法来检测和量化人类颅内脑电图记录中的高频癫痫样振荡（HFEO）。我们将研究 HFEO 作为致癫痫脑特征在癫痫手术和癫痫发作预测中的临床用途。我们相信，了解 HFEO 背后的细胞和网络机制将提高我们定位局灶性癫痫脑区域（目前限制癫痫手术成功的区域）的能力，同时为合理开发新疗法（例如用于癫痫预测的植入式设备）奠定基础。和预防。拟议的项目将继续合作，将宾夕法尼亚大学的神经科学和神经工程优势与梅奥诊所大型癫痫外科实践的临床优势相结合，从而为临床医生研究人员的发展提供肥沃的环境。主要研究者已经展示了基于患者的独立研究的潜力，并且通过该项目提供的培训，将开发一个独立的研究计划，将神经工程和临床研究的进展转化为临床实践。