Guiding epilepsy surgery using network models and Stereo EEG

使用网络模型和立体脑电图指导癫痫手术

• 批准号: 10740473
• 负责人: Danielle Smith Bassett
• 金额: $ 3.57万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-01-15 至 2025-12-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10740473
• 关键词: Address; Brain; Clinical Trials; Computer Models; Creativeness; Electrodes; Electroencephalography; Epilepsy; Fostering; Generations; Health; Human; Implant; Implanted Electrodes; Intervention; Manuals; Maps; Methods; Mission; Operating Rooms; Operative Surgical Procedures; Patient Selection; Patient-Focused Outcomes; Patients; Persons; Procedures; Public Health; Quality of life; Research; Sampling Errors; Seizures; Standardization; Testing; Tonic-Clonic Epilepsy; Translating; United States; United States National Institutes of Health; Work; clinical care; clinical practice; clinical translation; cost; improved; innovation; network models; parent grant; prospective; side effect; tool; treatment optimization

Summary of Parent Grant The objective of the parent grant is to translate methods to target epilepsy surgery into clinical practice. There is a clear need for standardized, quantitative methods to map epileptic networks and to target and optimize therapy. These tools, once validated, will dramatically improve clinical care and quality of life. To translate our methods to clinical trials as fast as possible we will need to address 3 major challenges: (1) adapting our methods to Stereotactic EEG (SEEG), (2) eliminating sampling error from sparse electrode implants, and (3) validating our methods on a larger number of patients across centers. To address such challenges the proposed work will: (1) replace current imprecise, manual methods for guiding epilepsy surgery with validated, rigorous quantitative tools that will standardize these procedures; (2) eliminate the need to precipitate seizures to map networks, (3) provide tools to simulate the effects of different brain interventions to optimize therapy; (4) develop methods to optimize SEEG implants, eliminate electrode sampling error, and improve patient selection for invasive treatment. Finally, we outline a path to clinical translation, a prospective clinical trial, and understanding mechanisms underlying seizure generation.

家长补助金摘要 家长资助的目的是将癫痫手术的方法转化为临床实践。那里 显然需要标准化、定量的方法来绘制癫痫网络并定位和优化 治疗。这些工具一旦经过验证，将极大地改善临床护理和生活质量。翻译我们的 尽快将方法应用于临床试验，我们需要解决 3 个主要挑战：(1) 调整我们的方法 立体定向脑电图 (SEEG) 方法，(2) 消除稀疏电极植入的采样误差，以及 (3) 在跨中心的大量患者身上验证我们的方法。为了应对此类挑战 拟议的工作将：（1）用经过验证的、 严格的定量工具将使这些程序标准化； (2) 消除突发癫痫发作的需要 绘制网络图，（3）提供工具来模拟不同大脑干预措施的效果，以优化治疗； (4) 开发优化 SEEG 植入物、消除电极采样误差并改进患者选择的方法 用于侵入性治疗。最后，我们概述了临床转化的途径、前瞻性临床试验，以及 了解癫痫发作产生的机制。