7th International Workshop on Seizure Prediction (IWSP7)

第七届癫痫预测国际研讨会（IWSP7）

基本信息

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
项目类别：
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

项目摘要

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（通过应用程序证明）：召集七个关于癫痫发作预测的国际研讨会（IWSP）。癫痫学家，工程师，数学家，神经科学家和神经科学家。癫痫患者的生命。从人类受试者的颅内脑脉内的室内脑部，癫痫发作的预测是可行的。用于时间序列分析，神经干预和反馈控制的基于数据的数据； IWSP系列符合主题（1），将使用长期神经循环的录音竞赛进行人数据癫痫发作的预测竞赛。通过您的生理学测量，通过建模主题，我们旨在在理论，生理学和统一指标之间建立，以在所有大脑hods的所有尺度上达到新的癫痫发作机制，以进行癫痫发作预测，检测和控制。旅行支持以鼓励我们参与。