Realtime Neural Monitor for Drug Abuse Research

用于药物滥用研究的实时神经监测器

• 批准号: 6934800
• 负责人: ALAN S GEVINS
• 金额: $ 17.55万
• 依托单位: SAM TECHNOLOGY, INC.
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-08-15 至 2007-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6934800
• 关键词: attention; brain electrical activity; clinical research; cognition disorders; computer program /software; computer system design /evaluation; drug abuse; electroencephalography; human subject; marijuana abuse; neurophysiology; performance; vehicular accident

DESCRIPTION (provided by applicant): Given the frequent occurrence of accidents in which the driver's ability was impaired by drugs, the issue of how drugs of abuse affect brain function during driving and other potentially dangerous activities is a major public health concern. This project aims to develop an enabling technology that will accelerate research in this area. It will build on recent progress in monitoring brain function of people working at computers to develop a highly-automated affordable system for studying the effects of drugs of abuse on brain mechanisms mediating complex task performance. The system will embody accumulated expertise about the analysis of EEC signals into automated software that will vastly reduce the labor and knowledge required to extract useful information from them, enabling scientists conducting drug abuse research who may lack specific expertise in quantitative neurophysiology to successfully record and analyze EEC signals from research subjects operating driving simulators or performing other naturalistic tasks. The Phase I project will determine the feasibility of this concept in the context of marijuana-intoxicated subjects operating an automobile driving simulator. If the project reaches Phase II, the system would be fully implemented and tested with other drugs of abuse, alone and in combination. The proposed system would enable the first cost-effective large-scale research studies of how drugs affect neural signals related to focusing and maintaining attention during performance of complex tasks such as driving. Because the same underlying technology could be used in clinical trials to evaluate drug side-effects that might impair cognitive abilities, there is likely to be a significant market for such technology.

描述（由申请人提供）：鉴于经常发生的事故中，司机的能力受到损害的药物，滥用药物如何影响大脑功能的问题，在驾驶和其他潜在的危险活动是一个重大的公共卫生问题。该项目旨在开发一种使能技术，以加速这一领域的研究。它将在监测计算机工作人员大脑功能的最新进展的基础上，开发一个高度自动化的负担得起的系统，用于研究滥用药物对调节复杂任务表现的大脑机制的影响。该系统将把积累的关于EEC信号分析的专业知识体现到自动化软件中，这将大大减少从中提取有用信息所需的劳动力和知识，使进行药物滥用研究的科学家能够成功地记录和分析来自操作驾驶模拟器或执行其他自然任务的研究对象的EEC信号。第一阶段项目将确定这一概念的可行性，在大麻中毒的主题操作汽车驾驶模拟器的背景下。如果该项目进入第二阶段，该系统将得到充分实施，并与其他滥用药物单独或合并进行测试。拟议的系统将使第一个具有成本效益的大规模研究成为可能，研究药物如何影响与在执行复杂任务（如驾驶）期间集中和保持注意力相关的神经信号。由于同样的基础技术可以用于临床试验，以评估可能损害认知能力的药物副作用，因此这种技术可能会有很大的市场。