Continuous Digital Video Behavioral Analysis of Rats

大鼠的连续数字视频行为分析

• 批准号: 6549823
• 负责人: YIQING LIANG
• 金额: $ 11.37万
• 依托单位: CLEVER SYSTEMS, INC.
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-07-01 至 2003-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6549823
• 关键词: artificial intelligence; behavior test; body movement; computer program /software; computer system design /evaluation; digital imaging; drug addiction; electron optics; ethology; laboratory rat; nicotine; posture; psychometrics; self medication; video recording system; videotape /videodisc

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）：啮齿动物（主要是大鼠和小鼠）的电图癫痫发作的行为成分通常被用作癫痫发作存在的​​最基本依据。许多研究资助都将动物癫痫发作分析作为研究的基本组成部分，甚至是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，但不同实验室之间存在一定程度的主观性。随着用于多重记录的复杂电极的开发和无线电遥测系统的可用性，将癫痫行为和电图癫痫活动的自动化研究结合起来现在成为可能。我们建议开发和验证行为算法，使用数字视频技术来识别、分类和量化小鼠和大鼠不同类型癫痫发作的运动成分。我们将定义不同类别癫痫发作的行为组成部分，并与脑电图记录中的电图癫痫发作结合起来。这些行为包括但不限于单侧和双侧前肢阵挛以及脊柱前凸姿势和尾巴的特征定位。将充分开发一个允许脑电图和行为结合分析的系统，以满足大学和制药公司研究实验室的需求。