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 父母补助金的目的是将针对癫痫手术的方法转化为临床实践。那里 显然需要标准化的定量方法来绘制癫痫网络， 疗法这些工具一旦得到验证，将大大改善临床护理和生活质量。翻译我们的 我们需要尽快解决3个主要挑战：（1）调整我们的方法， 立体定向EEG（SEEG）的方法，（2）消除稀疏电极植入物的采样误差，以及（3） 在各中心的大量患者身上验证我们的方法。为了应对这些挑战， 建议的工作将：（1）用经过验证的方法取代目前指导癫痫手术的不精确的手动方法， 将这些程序标准化的严格的定量工具;（2）消除加速缉获的必要性 映射网络，（3）提供工具来模拟不同大脑干预的效果，以优化治疗;（4） 开发优化SEEG植入物的方法，消除电极采样误差，并改善患者选择 用于侵入性治疗。最后，我们概述了临床翻译的路径，前瞻性临床试验， 了解癫痫发作的潜在机制。