Digital Video Monitor and Analysis of Seizures with EEG

数字视频监测和脑电图癫痫发作分析

• 批准号: 6646092
• 负责人: YIQING LIANG
• 金额: $ 13.81万
• 依托单位: CLEVER SYSTEMS, INC.
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-06-01 至 2004-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6646092
• 关键词: behavior test; biomedical equipment development; computer program /software; computer system design /evaluation; digital imaging; electroencephalography; epilepsy; laboratory mouse; laboratory rat; monitoring device; muscle function; myoclonus epilepsy; neuromuscular system; telemetry; video recording system

DESCRIPTION (provided by applicant): The behavioral components of electrographic seizures in rodents, primarily rats and mice, are generally used as the most fundamental basis for the presence of epileptic seizures. Numerous research grants use analysis of animal seizures as a fundamental component of the research, even research aimed at molecular and cellular mechanisms. The abnormal behaviors during a motor seizure are generally distinctive, but a certain degree of subjectivity is present from one laboratory to another. With the development of sophisticated electrodes for multiple recordings and the availability of radiotelemetry systems, the potential to combine automated studies of seizure behavior and electrographic seizure activity is now possible. We propose to develop and validate behavioral algorithms for identifying, classifying and quantifying the motor components of different types of seizures in mice and rats using digital video technology. We will define the behavioral components of different classes of seizures, and to do this in conjunction with electrographic seizures from EEG recordings. These behaviors will include but not be limited to unilateral and bilateral forelimb clonus and the assumption of a lordotic posture, with a characteristic positioning of the tail. A system that allows combined analysis of EEG and behavior will be fully developed to meet the demand from research laboratories at universities and pharmaceutical companies.

描述（由申请人提供）：啮齿类动物（主要是大鼠和小鼠）电描记癫痫发作的行为成分通常用作癫痫发作存在的最基本依据。许多研究赠款使用动物癫痫发作的分析作为研究的基本组成部分，甚至针对分子和细胞机制的研究。运动性癫痫发作期间的异常行为通常是独特的，但从一个实验室到另一个实验室存在一定程度的主观性。随着用于多次记录的复杂电极的发展和无线电遥测系统的可用性，将癫痫发作行为和电描记癫痫发作活动的联合收割机自动化研究结合起来的潜力现在是可能的。我们建议开发和验证行为算法，用于识别，分类和量化不同类型的癫痫发作在小鼠和大鼠中使用数字视频技术的运动组件。我们将定义不同类型癫痫发作的行为组成部分，并结合脑电图记录的电图癫痫发作来进行定义。这些行为将包括但不限于单侧和双侧前肢阵挛和假设脊柱前凸姿势，以及尾部的特征性定位。一个允许EEG和行为的组合分析的系统将被充分开发，以满足大学和制药公司研究实验室的需求。