Toward strengthening learning of neurocognitive skills via biofeedback for Veterans with brain injury

通过生物反馈加强脑损伤退伍军人的神经认知技能学习

• 批准号: 10487730
• 负责人: ANTHONY CHEN
• 金额: --
• 依托单位: VA NORTHERN CALIFORNIA HEALTH CARE SYS
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10487730
• 关键词: 21 year old; Active Learning; Address; Affect; Attention; Awareness; Behavioral; Biofeedback; Biometry; Brain; Brain Injuries; Brain imaging; Caring; Cognition; Cognitive; Data; Development; Effectiveness; Emotional; Emotions; Family; Feedback; Foundations; Goals; Health; Home; Individual; Informal Social Control; Intervention; Investigation; Knowledge; Lead; Learning; Learning Skill; Life; Measurement; Memory; Methods; Mind; Mission; Modeling; Monitor; Motivation; Neuraxis; Neurobehavioral Manifestations; Neurocognitive; Neurosciences; Participant; Pathway interactions; Patient Self-Report; Performance; Peripheral; Physiological; Physiological Processes; Pilot Projects; Problem Solving; Process; Recording of previous events; Regulation; Rehabilitation therapy; Reporting; Research; Role; Schools; Self Efficacy; Series; Short-Term Memory; System; Technology; Testing; Therapeutic; Time; Training; Veterans; Work; base; cognitive function; computerized; design; digital; distraction; emotion dysregulation; experience; flexibility; functional near infrared spectroscopy; heart rate variability; implementation process; improved; indexing; individualized feedback; innovation; interest; neurophysiology; portability; post 9/11; programs; recruit; remote health care; resilience; respiratory; response; skill acquisition; skills; skills training; success; therapy development; tool

Brain injury can alter an individual’s life trajectory in profound ways. Quite frequently, difficulties are related to deficits in directing multiple aspects of cognition and emotion to optimally serve a current goal, especially in the setting of challenges. Many post-9/11 Veterans who have experienced a brain injury may benefit from learning skills to better regulate their underlying cognitive-emotional state while working toward their personal goals. However, learning how to apply state regulation skills (SRS) strategically and flexibly when they are most needed in everyday life is challenging. In order to address this issue, we previously designed and developed digital scenarios to assist with skill learning; scenarios function as systematic learning opportunities to practice SRS in a wide range of cognitively challenging contexts while also providing individualized data-driven feedback to guide the learning process. In this new project, we seek to further strengthen learning of SRS by utilizing physiological data reflective of underlying brain state as individualized biofeedback during training scenarios. Providing learners (Veterans) access to aspects of their underlying brain state that are otherwise inaccessible (e.g., brain network activity) can empower Veterans to learn skills for self-regulation. Taken together, intensive practice with applying SRS to multiple and varied cognitive challenges accompanied by biofeedback has the potential to accelerate and strengthen effective skill learning. Post 9-11 Veterans with a history of TBI (age 21-60) will be recruited for participation in this project. Participants will perform a series of computerized cognitive challenge tasks while having aspects of their central and peripheral neurophysiology monitored. The preliminary objective of these investigations is to identify potentially useful training targets for biofeedback by exploring biometric variables that index changes in brain state with cognitive challenges as well as application of SRS. Based upon these results, pilot feedback models we will designed, developed, and integrated into digital scenarios. Participants will contribute to the design and implementation process by providing user-feedback on factors such as salience of feedback, ease-of-use, and ability to utilize feedback to moderate the training target. The knowledge gained from this project will help inform the development of a closed-loop system for skill training following brain injury. In this system, multiple reinforcing layers of feedback (behavioral performance, data on skill use, neurophysiology, and self-report) will converge to help Veterans learn how to best use these skills to improve their everyday functioning. Such a system also will be a valuable tool to assist with local and remote rehabilitation.

脑损伤可以深刻地改变一个人的生活轨迹。很多时候，困难与以下方面有关： 在指导认知和情感的多个方面以最佳方式服务于当前目标方面存在缺陷，尤其是在 挑战的设定。许多经历过脑损伤的 9/11 后退伍军人可能会从学习中受益 在努力实现个人目标的同时更好地调节潜在认知情绪状态的技能。 然而，学习如何在最需要的时候战略性地、灵活地应用国家监管技能（SRS） 在日常生活中充满挑战。 为了解决这个问题，我们之前设计开发了数字场景来辅助技能学习； 场景作为系统学习机会，在各种认知挑战中实践 SRS 同时还提供个性化的数据驱动反馈来指导学习过程。在这个新 项目中，我们寻求通过利用反映底层的生理数据来进一步加强 SRS 的学习。 训练场景期间大脑状态作为个性化的生物反馈。为学习者（退伍军人）提供访问 他们的潜在大脑状态的各个方面（例如大脑网络活动）可以通过其他方式无法获得 退伍军人学习自我调节技能。综合起来，将 SRS 应用于多个和 伴随生物反馈的各种认知挑战有可能加速和加强有效 技能学习。 将招募有 TBI 病史的 9-11 后退伍军人（21-60 岁）参与该项目。参加者 将执行一系列计算机化的认知挑战任务，同时具有其核心和 监测周围神经生理学。这些调查的初步目标是确定潜在的 生物反馈的有用训练目标，通过探索生物特征变量来索引大脑状态的变化 认知挑战以及 SRS 的应用。根据这些结果，我们将试点反馈模型 设计、开发并集成到数字场景中。参与者将为设计和 通过提供用户反馈来实施过程，例如反馈的显着性、易用性和 利用反馈来调整培训目标的能力。 从该项目中获得的知识将有助于为技能闭环系统的开发提供信息 脑损伤后的训练。在这个系统中，反馈的多个强化层（行为表现、 有关技能使用、神经生理学和自我报告的数据）将汇集起来，帮助退伍军人学习如何最好地使用这些数据 改善日常功能的技能。这样的系统也将是一个有价值的工具，可以帮助当地和 远程康复。