CHILDREN'S LEARNING BRAIN METER

儿童学习脑力计

基本信息

批准号：
8496469
负责人：
ALAN S GEVINS
金额：
$ 2.41万
依托单位：
SAM TECHNOLOGY, INC.
依托单位国家：
美国
项目类别：
财政年份：
2012
资助国家：
美国
起止时间：
2012-07-01 至 2012-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8496469
关键词：
Adolescent Adult Adverse effects Age Agreement Algorithms American Attention Automobile Driving Back Basic Science Brain Brain region Child Child Development Childhood Clinic Clinical Clinical Data Clinical Research Cognitive Complex Computer software Computers Data Data Analyses Databases Decontamination Development Devices Educational process of instructing Effectiveness Electroencephalography Environment Evaluation Exercise Eye Fatigue Feasibility Studies Fee-for-Service Plans Feedback Fostering Future Generic Drugs Goals Government Hand Health Human Immersion Investigative Technique Individual Laboratories Lead Learning Licensing Marketing Measurement Measures Mediating Medical Medicare Memory Methods Military Personnel Modality Monitor Morphologic artifacts Motor Movement National Institute of Child Health and Human Development Neurocognitive Neurocognitive Deficit Neurologic Parents Patients Performance Persons Pharmaceutical Preparations Phase Physicians Physiological Pilot Projects Play Population Process Psyche structure Psychometrics Reporting Research Research Personnel Sampling Scalp structure Scientific Advances and Accomplishments Scientist Secure Signal Transduction Specialist System Techniques Technology Testing Therapeutic Intervention Thinking Time Training Video Games Work aged base brain electrical activity cognitive function commercialization computer human interaction computerized cost cost effective data acquisition disability experience high throughput technology improved indexing meter nervous system disorder neurophysiology novel prototype relating to nervous system remediation skills tool tool development usability

项目摘要

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.

描述（由申请人提供）：当前，在重复的人工心理测验中进行了儿童认知脑功能的测量。从这种措施到孩子实际的现实学习能力的推论可能受到限制。因此，我们建议实施一个初始的自动化系统，该系统可以方便，准确地测量从事学习练习和游戏的儿童的学习相关的神经电性脑电图信号。在我们实验室的最新技术和科学进步的基础上，该提议的设备将向教育研究人员和临床医生提供有关儿童在学习过程中的区域皮质大脑激活的信息。这样的信息将帮助前者更准确地评估教育策略和课件，然后在功能至关重要的学习过程中评估儿童的神经认知能力。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，可以有效地监控从事复杂计算机任务（例如视频游戏）的复杂计算机任务的儿童区域皮质激活的神经脑电图信号。第二阶段的工作将扩展可行性研究，并将在基于计算机的学习活动中开发，测试，完善和验证儿童大脑功能的自动脑电图测量，包括规范性和学习促进的临床人群。这些措施将纳入高通量自动测试系统中。该系统将对儿童的基于计算机的学习进行系统的研究，而初步规范的制定将为该系统在临床上评估和完善治疗干预措施铺平道路。该技术还可能在未来的“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进行实时监控以提高课程软件和学习效率。公共卫生相关性儿童的学习脑电表是一种有希望的新自动化高通量技术，可以在儿童参与基于计算机的学习练习和游戏中，同时坐在普通房间的桌子上，从而测量大脑电信号。它将向教育研究人员和临床医生提供有关儿童在学习过程中的区域皮质大脑激活的信息。该系统将对儿童的基于计算机的学习进行系统的研究，而初步规范的制定将为该系统在临床上评估和完善治疗干预措施铺平道路。