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（由应用程序提供）：目的是召集有关癫痫发作预测（IWSP）的第七国际研讨会。这次会议的重点是开发癫痫治疗方法，尤其是基于闭环癫痫发作预测，检测和干预措施。 IWSP系列是一个独特的论坛，汇集了一个涉及癫痫学家，工程师，物理学家，数学家，神经外科医生和神经科学家的国际跨学科小组。尽管该目标在前六个研讨会上没有改变，但该小组已经认识到，在与面向治疗的方法并行的癫痫生物学机制建立对生物学机制的理解中必须保持平衡，以改善癫痫发作预测，检测和控制算法的性能，并以改善癫痫患者的质量质量的目标。是确定癫痫发作的基本机制，并为可以检测这些动态并提供干预的工程系统。癫痫发作和控制领域的活性得到了重振。神经循环癫痫发作咨询系统的临床试验从人类受试者中产生了一个月至年的颅内脑电图，并证明癫痫发作预测是可行的。 FDA最近对Neuropace RNS闭环癫痫控制装置的批准进一步激发了该领域。这两个推力提供了现实且相关的数据流以推进此字段。第七次会议将介绍三个关键主题：（1）从数月的录音中扣押预测； （2）基于模型的数据同化时间序列分析，神经干预和反馈控制； （3）在多个尺度上评估癫痫发作和癫痫网络的空间起源的多模式神经成像和计算建模。这些主题将由IWSP系列的先前主题完成。根据主题（1），将使用长期Neurovista癫痫发作咨询系统临床试验中的录音进行人数据癫痫发作预测竞赛。最近访问超长长期的高质量数据意味着现在有更大的能力可以以有限的生理测量来限制它们以前受到限制的方式评估癫痫发作预测算法和计算建模的能力。通过建模主题，我们旨在在理论，计算，物理和临床指标之间建立桥梁，以达到新的方法，以了解大脑所有规模的癫痫发作机制，从而开发了改进的癫痫发作预测，检测和控制方法。感觉到NIH资金用于旅行支持，以鼓励我们参与。