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）可能会在最初的创伤中恢复很长时间后会损害认知功能。 用TBI的退伍军人康复是VA的迫切需要。理解和预测的能力 患者对康复干预措施的反应将更好地为我们的退伍军人服务，并使VA健康受益 护理系统。该项目的主要目的是开发对敏感的神经标记 神经认知技能训练发生的大脑功能变化。有很大的差异 对任何给定的康复干预措施以及这种变异性的神经基础的反应很差 理解。有关大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的干预措施的发展。脑电图（EEG）可能会提供 标记可用于预测和理解康复的大脑功能改善。 我们的培训方法强调提高目标指导自我调节的技能，并应用 这些技能在多个挑战环境中。数字游戏训练方案增加了强度和 技能应用经验范围。学员在日常生活中练习这些技能，并与个人有关 目标。该项目将研究反映功能的预测标记和塑料变化 使用脑电图记录进行改进。脑电图将提供实时神经信号以跟踪部署 自上而下的控制功能和模型的大脑网络连接模式，而认知过程 订婚。我们将检查使用良好训练的行为反应的潜在预测指标 经过验证的事件相关电位（ERP）组件以及EEG网络连接的新应用 措施。拟议的研究将：（1）测试EEG标记中的变化是否可以解释可变性 在对训练的行为反应中，以及（2）评估基线处的特定脑电图标记是否可以 预测随后患者对培训的反应。确定患者发现的特异性 培训，不接受干预措施的比较患者将在两个时间点进行测试。脑电图 在参与者从事苛刻的工作记忆任务时，请记录。 训练前后。我们将评估特定标记（ERP旧/新效果 记忆检索和编码和维护过程中的theta频段活动将随培训而变化。 我们还将评估脑电图变化是否可以解释响应训练的变异性 通过对工作记忆跨度和注意力/执行功能的验证测试的分数。此外， 我们将在培训前后参与者参与重点居状态时记录脑电图。 网络连接动力学将使用图理论方法计算。使用 创新的，数据驱动的方法将最大化我们确定适当预测的机会 生物标志物。该项目将通过解决未来 关于认知功能改善的神经基础的问题，有可能 确定可用于预测患者对训练的反应有用的生物标志物。