Neurophysiologically Based Brain State Tracking & Modulation in Focal Epilepsy

基于神经生理学的大脑状态跟踪

基本信息

批准号：
9921573
负责人：
Gregory A Worrell
金额：
$ 143.77万
依托单位：
MAYO CLINIC ROCHESTER
依托单位国家：
美国
项目类别：
财政年份：
2015
资助国家：
美国
起止时间：
2015-09-30 至 2022-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9921573
关键词：
Adult Algorithms Anterior Antiepileptic Agents Base of the Brain Brain Brain region Canis familiaris Catalogs Cell Nucleus Chronic Classification Clinical Clinical Trials Coupled Data Data Storage and Retrieval Detection Development Device Designs Devices Drug resistance Electric Stimulation Electrodes Electroencephalography Engineering Epilepsy Excision Generations Goals Grant Hand Hippocampus (Brain)Human Implant Intelligence Investigation Life Medical Device Nervous system structure Operative Surgical Procedures Outcome Partial Epilepsies Patients Persons Pharmacology Physicians Policies Probability Psychological Impact Research Resected Running Seizures Sensitivity and Specificity System Technology Telemetry Testing Thalamic structure Therapeutic Therapeutic Uses Time Translations Validation base clinical translation cloud based cluster computing diaries empowered implantable device instrumentation neocortical nervous system disorder neural network neurophysiology next generation pilot trial pre-clinical preclinical development programs psychologic public health relevance relating to nervous system response safety and feasibility sensor side effect

项目摘要

DESCRIPTION (provided by applicant): Approximately 1/3 of people living with epilepsy (PWE) continue to have seizures despite anti-epileptic drugs (AEDs). Recent trials using therapeutic brain stimulation show reductions in seizures, but rarely provide seizure free outcomes. Although seizures occupy a small fraction of their life, as little as 0.01%, PWE take anti-epileptic drugs (AED) daily, suffer AED related side effects, and spend their lives dreading when the next seizure will strike. The apparent randomness of seizures is associated with significant psychological consequences. We hypothesize that epilepsy can be more effectively managed, both the seizures and their psychological impact, by providing patients with accurate seizure diaries, real-time seizure forecasting, and responsive stimulation for brain state modulation. With accurate seizure forecasting patients would be empowered to manage their life activities. The optimal epilepsy management device requires: 1) Automated seizure detection 2) Accurate Automated Electronic Seizure Diaries 3) Seizure Forecasting and 4) Programmable Brain Stimulation. In this grant we develop an epilepsy management and therapy platform using Medtronic's 3rd generation device implantable device. The RC+S provides chronic nervous system sensing and analytics using embedded scientific instrumentation (e.g. - sensors, classification, and control policy implementation), and provides a unique opportunity for exploring and managing epileptic neural networks.

描述（由申请人提供）：尽管使用抗癫痫药物 (AED)，仍有约 1/3 的癫痫患者 (PWE) 继续癫痫发作。最近使用治疗性脑刺激的试验显示癫痫发作减少，但很少提供无癫痫发作的结果。尽管癫痫发作只占他们一生的一小部分（只有 0.01%），但 PWE 每天都服用抗癫痫药物 (AED)，承受与 AED 相关的副作用，并且一生都在担心下一次癫痫发作何时发生。癫痫发作的明显随机性与显着的心理后果有关。我们假设，通过为患者提供准确的癫痫发作日记、实时癫痫发作预测和大脑状态调节的响应刺激，可以更有效地控制癫痫发作及其心理影响。通过准确的癫痫发作预测，患者将能够管理自己的生活活动。最佳的癫痫管理设备需要：1) 自动癫痫发作检测 2) 准确的自动电子癫痫日记 3) 癫痫预测和 4) 可编程大脑刺激。在这笔赠款中，我们使用美敦力的第三代植入式设备开发了癫痫管理和治疗平台。 RC+S 使用嵌入式科学仪器（例如传感器、分类和控制策略实施）提供慢性神经系统传感和分析，并为探索和管理癫痫神经网络提供了独特的机会。