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(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与影响人际态度和行为的社会和动机因素之间的知识鸿沟。然而，到目前为止，可用于测量社会大脑功能的工具主要局限于记录个体对具有社会重要性的刺激的神经反应，局限于扫描仪。为了解决这一限制，我们的目标是开发一种突破性的硬件/软件系统，用于同步获取、分析、访问和可视化来自参与共同活动的两个或更多参与者的神经生理数据。这种低成本、高度自动化的系统将能够记录和分析来自多个参与社交互动的人的连续脑电和亚秒级ERP信号。它将把积累的脑电信号分析专业知识融入自动化软件中，极大地减少从这些信号中提取有用信息所需的劳动力和知识。在第一阶段，我们将实现一个原型系统，同时记录两个人的大脑功能。为了证明可行性，这个系统将被用于实现一个小型实验，该实验将利用高度受控的基于计算机的任务来研究类似游戏环境中的竞争性互动，以及将提供更多具有较少结构化社交互动特征的数据的更自然的任务。由此产生的新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其可行性，并将其用作设计用于此类多人实验的新分析功能的资源。一个完整、完善的数据采集和分析系统将在第二阶段实施，并在与其他实验室的协作研究中进行评估。因此，第二阶段的成果将是一项技术，将使研究社会现象的科学家可以常规地直接、连续地测量大脑功能。