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: 10640138
• 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/10640138
• 关键词: 21 year old; Acceleration; Active Learning; Address; Affect; Attention; Awareness; Behavioral; Biofeedback; Biometry; Brain; Brain Injuries; Brain imaging; Caring; Central Nervous System; Cognition; Cognitive; Collaborations; Communities; Data; Development; Educational process of instructing; Effectiveness; Emotional; Emotions; Family; Feedback; Foundations; Goals; Health; Home; Individual; Informal Social Control; Intervention; Investigation; Knowledge; Lead; Learning; Learning Skill; Life; Measurement; Memory; Methods; Mission; Modeling; Monitor; Motivation; Neurobehavioral Manifestations; Neurocognitive; Neurosciences; Participant; Pathway interactions; Patient Self-Report; Performance; Peripheral; Peripheral Nervous System; Physiological; Physiological Processes; Pilot Projects; Problem Solving; Process; Recording of previous events; Regulation; Rehabilitation therapy; Relaxation; Reporting; Research; Role; Schools; Self Efficacy; Series; Short-Term Memory; Signal Transduction; System; Technology; Testing; Therapeutic; Time; Training; Veterans; Work; cognitive function; computerized; design; digital; distraction; emotion dysregulation; empowerment; 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; theories; 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.

脑损伤会以深刻的方式改变个人的生活轨迹。很常见，困难与 定义指导认知和情感的多个方面以最佳实现当前目标，尤其是在 挑战的设定。许多经历了脑损伤的9/11名退伍军人可能会受益于学习 在朝着个人目标努力的同时，更好地调节其潜在的认知情感状态的技能。 但是，在最需要时，在战略和灵活地学习如何应用州监管技能（SRS） 在日常生活中，生活是挑战。 为了解决这个问题，我们以前设计和开发了数字方案，以协助技能学习； 场景是系统学习的机会，可以在广泛的认知挑战中练习SRS 上下文同时还提供个性化数据驱动的反馈来指导学习过程。在这个新的中 项目，我们试图通过使用反映基础的物理数据来进一步增强SRS的学习 在训练场景中，大脑状态为个性化生物反馈。提供者学习者（退伍军人）访问 其潜在的大脑状态的各个方面无法访问（例如，大脑网络活动）可以增强能力 退伍军人学习自我调节的技能。两者合计，将SRS应用于多个和多个和 生物反馈实现的各种认知挑战有可能加速和强大 技能学习。 将招募9-11名具有TBI历史的退伍军人（21-60岁）参加该项目。参与者 将执行一系列计算机化的认知挑战任务，同时具有中央的各个方面 监测周围神经生理学。这些调查的初步目标是确定潜在的 通过探索生物识别变量的有用培训目标，该变量索引大脑状态变化 认知挑战以及SRS的应用。根据这些结果，我们将 设计，开发和集成到数字场景中。参与者将为设计做出贡献， 通过提供有关反馈，易用性和 能够利用反馈来调节训练目标。 从该项目中获得的知识将有助于告知闭环系统的技能 脑损伤后的训练。在此系统中，多个加强反馈层（行为性能， 有关技能使用，神经生理学和自我报告的数据）将融合以帮助退伍军人学习如何最好地使用这些 改善他们每天运作的技能。这样的系统将是协助本地和 远程康复。