SYSTEM FOR MONITORING SOCIAL COGNITIVE BRAIN FUNCTION

大脑社交认知功能监测系统

• 批准号: 7038334
• 负责人: ALAN S GEVINS
• 金额: $ 24.39万
• 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: 2005-04-01 至 2009-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7038334
• 关键词: behavioral /social science research tag; bioimaging /biomedical imaging; brain electrical activity; clinical research; cognition; computer human interaction; computer program /software; computer system design /evaluation; data collection methodology /evaluation; electroencephalography; evoked potentials; human subject; interpersonal relations; neuropsychology; psychological tests; social behavior; social competition; social cooperation; young adult human (21-34)

DESCRIPTION (provided by applicant): The emerging field of social neuroscience is bridging the knowledge gap between brain mechanisms of cognition and affect and the social and motivational factors that impact interpersonal attitudes and behaviors. However, to date, the tools available for measuring social brain function have mainly restricted experimentation to recording the neural responses of an individual, confined in a scanner, to stimuli of social importance. To address this limitation we aim to develop a breakthrough hardware/software system for synchronously acquiring, analyzing, accessing and visualizing neurophysiological data from two or more participants engaged in a common activity. This low-cost, highly-automated system will enable the recording and analysis of continuous EEG and sub-second ERP signals from multiple people engaged in a social interaction. It will embody accumulated expertise about the analysis of EEG signals into automated software that will vastly reduce the labor and knowledge required to extract useful information from them. In Phase I we will implement a prototype system for simultaneously recording brain function from two people. To demonstrate feasibility, this system will be used to enable a small experiment that will utilize both highly controlled two-person computer-based tasks to study competitive interactions in a game-like context, and more naturalistic tasks that will provide data more characteristic of less structured social interactions. The resulting novel database will be used to demonstrate feasibility by testing hypotheses concerning the impact of interpersonal factors on neurophysiologic parameters, and as a resource for designing new analysis functionality for use in such multiple-person experiments. A complete, refined, data acquisition and analysis system would be implemented during Phase II and evaluated in collaborative studies with other laboratories. The outcome of Phase II will thus be a technology that will make direct, continuous measurements of brain function routinely available to scientists studying social phenomena.

描述（由申请人提供）：社会神经科学的新兴领域正在弥合认知和情感的大脑机制之间的知识差距，以及影响人际态度和行为的社会和动机因素。但是，迄今为止，可用于衡量社交大脑功能的工具主要限制了实验，以记录限制在扫描仪中的个体的神经反应，以刺激社会重要性。为了解决这一限制，我们旨在开发一个突破性的硬件/软件系统，以同步获取，分析，访问和可视化来自从事共同活动的两个或更多参与者的神经生理数据。这个低成本，高度自动化的系统将使来自从事社交互动的多个人的连续脑电图和次秒ERP信号进行记录和分析。它将体现有关将EEG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。在第一阶段，我们将实施一个原型系统，以同时记录两个人的大脑功能。为了证明可行性，该系统将用于启用一个小实验，该实验将利用高度控制的两人基于计算机的任务来研究游戏般的环境中的竞争互动，以及更自然的任务，这些任务将提供更具结构性社交互动的数据。由此产生的新型数据库将通过测试有关人际因素对神经生理学参数的影响的假设来证明可行性，并作为设计新分析功能用于此类多人实验的资源。在第二阶段期间将实施完整，精致的数据获取和分析系统，并在与其他实验室的协作研究中进行评估。因此，第二阶段的结果将是一项技术，它将对研究社会现象的科学家通常可以直接，连续测量大脑功能。