CHILDREN'S LEARNING BRAIN METER

描述（由申请人提供）：目前，儿童认知脑功能的测量是在重复的人工心理测试中进行的。从这些措施的推论，以儿童的实际现实世界的学习能力的推广可能是有限的。因此，我们建议实现一个第一的自动化系统，方便，准确地测量学习相关的神经电信号的儿童从事学习练习和游戏。基于我们实验室最近的技术和科学进步，该设备将为教育研究人员和临床医生提供有关儿童在学习期间区域皮层大脑激活的信息。这些信息将有助于前者更准确地评估教育策略和课件，后者评估儿童在功能关键和发育必要的学习过程中的神经认知能力。在第一阶段，我们证明了拟议系统的科学和技术可行性。特别是，我们说明，区域皮质激活的儿童从事复杂的计算机化任务，如视频游戏的神经电EEG信号可以有效地监测。第二阶段的工作将扩展可行性研究，并将开发，测试，完善和验证在基于计算机的学习活动中，在规范和学习挑战的临床人群中，儿童脑功能的自动EEG测量。这些措施将纳入一个高通量自动化测试系统。这一系统将使人们能够系统地研究儿童的计算机辅助学习，初步规范的制定将为该系统在临床上用于评估和改进治疗干预措施铺平道路。这项技术也可以在未来的“闭环”神经适应系统中发挥作用，这些系统使用与任务相关的神经激活的真实的时间监测来改善课件和学习效率。儿童学习脑测量仪是一种很有前途的新型自动化高通量技术，当儿童坐在普通房间的书桌前进行基于计算机的学习练习和游戏时，可以测量脑电信号。它将为教育研究人员和临床医生提供有关儿童在学习期间局部大脑皮质激活的信息，否则这些信息将无法获得。这一系统将使人们能够系统地研究儿童的计算机辅助学习，初步规范的制定将为该系统在临床上用于评估和改进治疗干预措施铺平道路。

DESCRIPTION (provided by applicant): Currently, measurements of a child's cognitive brain function are made during repetitive, artificial psychometric tests. The generalization of inferences from such measures to a child's actual real-world learning ability may be limited. Accordingly, we propose to implement a first-of-its-kind automated system that conveniently and accurately measures learning-related neuroelectric EEG signals of children engaged in learning exercises and games. Building on recent technological and scientific advances in our lab, the proposed device will provide otherwise unavailable information to both educational researchers and to clinicians about a child's regional cortical brain activation during learning. Such information will help the former to more accurately evaluate educational strategies and courseware, and the later to assess a child's neurocognitive capabilities during the functionally critical and developmentally essential process of learning. During Phase I, we demonstrated the scientific and technical feasibility of the proposed system. In particular, we illustrated that neuroelectric EEG signals of regional cortical activation of children engaged in complex computerized tasks such as video game play could be validly monitored. The Phase II work will extend the feasibility study and will develop, test, refine, and validate automated EEG measures of a child's brain function during computer-based learning activities in both normative and learning-challenged clinical populations. The measures will be incorporated into a high-throughput automated testing system. This system will enable systematic research on computer-based learning for children, and development of preliminary norms will pave the way for the system to be used clinically to evaluate and refine therapeutic interventions. The technology could also be instrumental in future "closed-loop" neuroadaptive systems that use real time monitoring of task-related neural activation to improve courseware and learning efficiency. PUBLIC HEALTH RELEVANCE The Children's Learning Brain Meter is a promising new automated high-throughput technology that measures brain electrical signals as a child engages in computer-based learning exercises and games while sitting at a desk in an ordinary room. It will provide otherwise unavailable information to educational researchers and clinicians about a child's regional cortical brain activation during learning. This system will enable systematic research on computer-based learning for children, and development of preliminary norms will pave the way for the system to be used clinically to evaluate and refine therapeutic interventions.