7th International Workshop on Seizure Prediction (IWSP7)

 说明（由申请方提供）：目的是召开第七次国际癫痫发作预测讲习班。本次会议的重点是癫痫治疗的发展，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，涉及癫痫学家，工程师，物理学家，数学家，神经外科医生和神经科学家。虽然这一目标在前六次研讨会上没有改变，但该小组已经认识到，在发展对癫痫潜在生物学机制的理解方面需要平衡，同时采用以治疗为导向的方法，以提高癫痫发作预测，检测和控制算法的性能，最终目标是提高癫痫患者的生活质量。在基本层面上，癫痫发作预测的目标是确定癫痫发作产生的潜在机制，并设计能够检测这些动态并提供干预的系统。在癫痫发作预测和控制领域的活动重新焕发了活力。NeuroVista癫痫发作咨询系统的临床试验产生了人类受试者长达数月至数年的动态颅内EEG，并证明癫痫发作预测是可行的。最近FDA批准的Neuropace RNS闭环癫痫控制装置进一步激发了该领域。这两个推力提供了现实和相关的数据流，以推进这一领域。第七次会议将讨论三个关键主题：（1）从数月到数年的记录中预测癫痫发作;（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;以及（3）多模态神经成像和计算建模，以评估癫痫发作的空间起源和多尺度癫痫网络。这些主题将由IWSP系列中的先前主题加以补充。根据主题（1），将使用NeuroVista癫痫发作咨询系统长期临床试验的记录进行人类数据癫痫发作预测竞赛。最近对超长期高质量数据的访问意味着现在有更大的能力来评估癫痫发作预测算法和计算建模，而这些算法和计算建模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，以获得新的方法来了解大脑所有尺度的癫痫发作机制，从而开发改进的癫痫发作预测，检测和控制方法。寻求NIH资金用于旅行支持，以鼓励美国参与。

 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.