EEG Markers of Training-Induced Improvements in Cognitive Functioning

训练引起的认知功能改善的脑电图标记

• 批准号: 9408448
• 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: 2017
• 资助国家: 美国
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9408448
• 关键词: Achievement; Address; Affect; Attention; Behavioral; Biological Assay; Biological Markers; Brain; Brain Injuries; Clinical; Cognitive; Data; Development; Electroencephalography; Event-Related Potentials; Frequencies; Functional Magnetic Resonance Imaging; Goals; Graph; Healthcare; Healthcare Systems; Impaired cognition; Impairment; Individual; Informal Social Control; Intervention; Lead; Learning; Letters; Life; Maintenance; Measures; Memory; Methods; Modeling; Neurocognitive; Neuropsychological Tests; Participant; Patient Care; Patients; Pattern; Performance; Pilot Projects; Population; Predictive Value; Process; Recovery; Regulation; Rehabilitation therapy; Rest; Self-Direction; Short-Term Memory; Specificity; Symptoms; Testing; Time; Training; Training Programs; Trauma; Traumatic Brain Injury; Veterans; Wages; Work; base; behavioral response; brain electrical activity; clinical application; cognitive function; cognitive performance; cognitive process; cognitive rehabilitation; cognitive testing; digital; directed attention; distraction; executive function; experience; functional improvement; improved; indexing; innovation; memory retrieval; mild traumatic brain injury; neurotransmission; novel; patient response; performance tests; post-traumatic stress; potential biomarker; predicting response; predictive marker; predictive modeling; relating to nervous system; response; sensor; skills; skills training; stress symptom; treatment response

Traumatic brain injuries (TBI) can impair cognitive functioning long after recovery from the initial trauma. The rehabilitation of Veterans with TBI is a critical need for the VA. The ability to understand and predict patient response to rehabilitation interventions will better serve our Veterans and benefit the VA health care system. The primary objective of this project is to develop neural markers that are sensitive to changes in brain function that occur with neurocognitive skills training. There is significant variability in response to any given rehabilitation intervention, and the neural basis of this variability is poorly understood. Information about the brain mechanisms that underlie learning and plasticity after brain injury will help guide the development of novel interventions. Electroencephalography (EEG) may provide markers useful for predicting and understanding improvements in brain functioning with rehabilitation. Our training approach emphasizes improving skills of goal-directed self-regulation, and the application of these skills across multiple challenge contexts. Digital game training scenarios increase the intensity and range of skill application experience. Trainees practice these skills in daily life and in relation to personal goals. This project will investigate predictive markers and plastic changes that reflect functional improvements using EEG recordings. EEG will provide a real time neural signal to track the deployment of top-down control functions and model brain network connectivity patterns while cognitive processes are engaged. We will examine potential predictors of behavioral responses to training using well- validated event-related potential (ERP) components, and novel application of EEG network connectivity measures. The proposed studies will: (1) test whether changes in EEG markers can explain variability in behavioral responses to training, and (2) evaluate whether specific EEG markers at baseline can predict subsequent patient response to training. To determine the specificity of findings from patients in training, comparison patients not undergoing the intervention will be tested at two time points. EEG will be recorded while participants are engaged in a demanding working memory task with distraction, both before and after training. We will assess whether specific markers (the ERP old/new effect during memory retrieval, and theta band activity during encoding and maintenance) will change with training. We will also assess whether EEG changes can explain variability in response to training as measured by scores on well-validated tests of working memory span and attention/executive function. In addition, we will record EEG while participants are engaged in a focused-rest state before and after training. Network connectivity dynamics will be calculated using a graph theoretic approach. The use of innovative, data-driven methods will maximize our chances of identifying an appropriate predictive biomarker. The project will address the health care needs of Veterans by addressing outstanding questions regarding the neural bases of improvements in cognitive functioning, with the potential to identify biomarkers useful for predicting patient responses to training.

创伤性脑损伤(TBI)可以在从最初的创伤中恢复很长一段时间后损害认知功能。 退伍军人颅脑损伤的康复是退伍军人退伍军人管理局的迫切需要。理解和预测的能力 患者对康复干预的反应将更好地服务于我们的退伍军人，并有利于退伍军人健康 护理系统。该项目的主要目标是开发对 随着神经认知技能训练而发生的大脑功能变化。有很大的变异性 对任何给定的康复干预的反应，这种变异性的神经基础很差 明白了。关于脑后学习和可塑性的大脑机制的信息 伤害将有助于指导新干预措施的发展。脑电图仪(EEG)可以提供 有助于预测和了解康复后大脑功能改善的标志物。 我们的培训方法强调提高目标导向型自我调节的技能，并应用 这些技能跨越多个挑战环境。数字游戏训练场景增加了强度和 广泛的技能应用经验。受训者在日常生活中和与个人有关的方面练习这些技能 目标。该项目将研究反映功能的预测性标记和可塑性变化 使用脑电记录进行改进。EEG将提供实时神经信号来跟踪部署 自上而下的控制功能和模型大脑网络连接模式，而认知过程 已经订婚了。我们将使用Well-Well来检验训练行为反应的潜在预测因素。 经过验证的事件相关电位(ERP)组件，以及脑电网络连接的新应用 措施。拟议的研究将：(1)测试脑电标记物的变化是否可以解释变异性 在对训练的行为反应中，以及(2)评估基线的特定脑电标记物是否可以 预测后续患者对训练的反应。为了确定患者的诊断结果的特异性 培训，对照，未接受干预的患者将在两个时间点进行测试。脑电波会 当参与者在分心的情况下从事要求严格的工作记忆任务时，被记录下来 训练前后。我们将评估特定的标记物(ERP旧/新影响在 记忆提取，以及编码和维护期间的theta带活动)将随着训练而改变。 我们还将评估脑电变化是否可以解释训练反应的可变性。 根据工作记忆广度和注意力/执行功能的有效测试的分数。此外, 我们将记录受试者在训练前后处于集中休息状态时的脑电。 我们将使用图论方法计算网络连接动态。对.的使用 创新的、数据驱动的方法将最大限度地提高我们识别适当预测数据的机会 生物标志物。该项目将通过解决突出的问题来解决退伍军人的保健需求 关于认知功能改善的神经基础的问题，有可能 确定对预测患者对训练的反应有用的生物标志物。