7th International Workshop on Seizure Prediction (IWSP7)

第七届癫痫预测国际研讨会（IWSP7）

• 批准号: 8838440
• 负责人: BRUCE J GLUCKMAN
• 金额: $ 1.5万
• 依托单位: PENNSYLVANIA STATE UNIV HERSHEY MED CTR
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-30 至 2015-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8838440
• 关键词: Address; Advertising; Algorithms; Animal Model; Assimilations; Australia; Biological; Brain; Cephalic; Clinical; Clinical Trials; Collaborations; Complement; Computer Simulation; Data; Data Quality; Databases; Detection; Device or Instrument Development; Devices; Educational workshop; Electroencephalography; Engineering; Epilepsy; Equilibrium; Feedback; Funding; Generations; Goals; High Frequency Oscillation; Human; International; Intervention; Knowledge; Lead; Measurement; Methods; Metric; Minority; Modeling; Neurons; Neurosciences; Neurosurgeon; Organism; Outcome; Participant; Patients; Performance; Physiological; Physiology; Quality of life; Research; Research Personnel; Seizures; Series; Stream; Students; Syndrome; System; Technology; Time Series Analysis; Travel; United States National Institutes of Health; Woman; base; career; computational network modeling; computational neuroscience; cooking; cost; graduate student; human data; human subject; improved; meetings; member; neuroimaging; neurophysiology; novel; novel strategies; public health relevance; signal processing; skills; therapy development; tool

 DESCRIPTION (provided by applicant): The objective is to convene the Seventh International Workshop on Seizure Prediction (IWSP). This meeting focuses on the development of treatments for epilepsy especially based on closed loop seizure prediction, detection and interventions. The IWSP series is a unique forum that brings together an international interdisciplinary group involving epileptologists, engineers, physicists, mathematicians, neurosurgeons and neuroscientists. While this goal has not changed over the previous six workshops, the group has recognized that there needs to be a balance in developing an understanding of the biological mechanisms underlying epilepsy in parallel with treatment oriented approaches in order to improve the performance of seizure prediction, detection and control algorithms, and with the ultimate objective of improving quality of life for the epileptic patient. At a fundamental level, the goal of seizure prediction is to identify the underlying mechanisms of seizure generation and to engineer systems that will detect those dynamics and provide for intervention. Activity in the field of seizure prediction and control is reinvigorated.The clinical trial of the NeuroVista seizure advisory system produced months-to-years long ambulatory intra-cranial EEG from human subjects, and demonstrated that seizure prediction is feasible. The recent FDA approval of the Neuropace RNS closed loop seizure control device has further galvanized the field. These two thrusts provide realistic and relevant data streams to advance this field. This seventh meeting will address three key themes: (1) Seizure prediction from months-to-years long recordings; (2) Model-based data assimilation for time series analysis, neuro-intervention and feedback control; and (3) Multi-modal neuroimaging and computational modeling to assess the spatial origin of seizures and the epileptic network at multiple scales. These themes will be complemented by the prior topics in the IWSP series. In line with theme (1) there will be a human-data seizure prediction contest using recordings from the long-term NeuroVista Seizure Advisory System clinical trial. Recent access to ultra long-term high-quality data means there is now greater ability to evaluate both seizure prediction algorithms and computational modeling in ways that were previously constrained by the limited physiological measurements. Through the modeling themes we aim to build bridges between theoretical, computational, physiological and clinical metrics to arrive at new approaches to understand epileptic seizure mechanisms across all scales of the brain, and thereby develop improved methods for seizure prediction, detection and control. NIH funding is sought for travel support to encourage US participation.

 描述(由申请者提供)：目标是召开第七届癫痫发作预测国际研讨会。本次会议的重点是癫痫治疗方法的发展，特别是基于闭环癫痫发作预测、检测和干预。IWSP系列是一个独特的论坛，汇集了一个国际跨学科小组，成员包括癫痫专家、工程师、物理学家、数学家、神经外科医生和神经科学家。虽然这一目标在过去的六个讲习班中没有改变，但工作组认识到，在以治疗为导向的方法的同时，需要平衡对癫痫潜在的生物机制的理解，以提高癫痫发作预测、检测和控制算法的性能，并最终提高癫痫患者的生活质量。在根本层面上，癫痫发作预测的目标是确定癫痫发作产生的潜在机制，并设计系统来检测这些动态并提供干预。发作预测和控制领域的活动重新活跃起来。NeuroVista癫痫咨询系统的临床试验产生了长达数月到数年的人类动态脑电，证明了发作预测是可行的。最近FDA批准了NeuroPace RNS闭环癫痫控制设备，进一步刺激了该领域。这两个推动为推进这一领域提供了现实和相关的数据流。第七次会议将讨论三个关键主题：(1)从几个月到几年的长记录进行癫痫发作预测；(2)基于模型的数据同化，用于时间序列分析、神经干预和反馈控制；(3)多模式神经成像和计算建模，以在多个尺度上评估癫痫发作的空间来源和癫痫网络。这些主题将得到国际水资源综合战略计划系列以前的专题的补充。根据主题(1)，将利用长期NeuroVista癫痫咨询系统临床试验的记录，举行一场人类数据癫痫预测比赛。最近对超长期高质量数据的访问意味着现在有更强的能力来评估癫痫发作预测算法和计算建模，而这些方法以前受到有限的生理测量的限制。通过建模主题，我们的目标是在理论、计算、生理和临床指标之间建立桥梁，以达到了解癫痫发作机制的新方法，从而开发出更好的癫痫发作预测、检测和控制方法。美国国立卫生研究院正在寻求资金用于旅行支持，以鼓励美国参与。