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）：鉴于毒品频繁发生驾驶员能力受损的事故，滥用药物在驾驶过程中如何影响大脑功能和其他潜在危险活动的问题是一个主要的公共卫生问题。该项目旨在开发一种能够加速该领域研究的技术。它将基于监测计算机工作人员的大脑功能的最新进展，以开发高度自动化的负担得起的系统，以研究滥用药物对介导复杂任务性能的脑机制的影响。该系统将体现有关将EEC信号分析到自动化软件中的累积专业知识，这些软件将大大减少从中提取有用信息所需的人工和知识，使科学家能够进行药物滥用研究，这些研究可能缺乏针对定量神经生理学的特定专业知识，可以成功记录和分析从研究主题中分析驱动模拟器或执行其他自然任务的EEC信号。第一阶段项目将在经营汽车驾驶模拟器的大麻毒性受试者的背景下确定此概念的可行性。如果该项目进入第二阶段，则该系统将通过单独和联合使用其他滥用药物进行全面实施和测试。拟议的系统将对药物如何影响与集中和维持注意力相关的神经信号的首次具有成本效益的大规模研究研究，例如在复杂任务（例如驾驶）执行过程中。由于可以在临床试验中使用相同的基础技术来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一个重要的市场。