A Novel Approach to Assessing Cognitive State During Real-World Tasks

评估现实世界任务中认知状态的新方法

• 批准号: 8847048
• 负责人: Chris Berka
• 金额: $ 8.45万
• 依托单位: ADVANCED BRAIN MONITORING, INC.
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-23 至 2017-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8847048
• 关键词: Accounting; Age; Age-Years; Aging; Algorithms; Alzheimer' s Disease; Attention; Automobile Driving; Behavior; Brain; Chronic; Clinic; Cognitive; Computer software; Conflict (Psychology); Data; Data Collection; Data Quality; Development; Disease; Drowsiness; Elderly; Electrocardiogram; Electrodes; Electroencephalography; Ensure; Environment; Evaluation; Event; Failure; Gel; HIV; HIV Infections; Health Services Accessibility; Impaired cognition; Impairment; Individual; Knowledge; Laboratories; Life; Measures; Medical; Methods; Metric; Monitor; Morbidity - disease rate; Morphologic artifacts; Neurocognitive; Neurologic; Neuropsychological Tests; Notification; One-Step dentin bonding system; Outcome; Parkinson Disease; Participant; Patients; Performance; Persons; Phase; Population; Prevalence; Published Comment; Recording of previous events; Recovery; Recruitment Activity; Research; Research Personnel; Risk; Safety; Sample Size; Sampling; Simulate; Stroke; Structure; Substance Use Disorder; System; Technology; Testing; Time; Training; United States; Wireless Technology; Workload; age group; aging population; base; design; distraction; experience; improved; insight; mortality; neurobehavioral; neurophysiology; neuropsychiatry; neuropsychological; novel strategies; pressure; public health relevance; real world application; screening; sensor; simulation; skills; success; tool; usability

 DESCRIPTION (provided by applicant): In Phase 1, our team was able to enhance the ABM B-Alert system for use in on the road evaluations by reducing the overall profile of the hardware system, introducing real-time commenting for marking events in real world activities, and assessing (and confirming) current artifact rejection algorithms for sufficiency in real world environments. In addition, the B-Alert algorithms for engagement, distraction/drowsiness, and workload were validated for use in the HIV+ population, and applied in laboratory-based cognitive assessments, simulated driving and on the road driving. The data from Phase 1 indicate that traditional clinic/laboratory assessments, which have been only modestly successful in predicting real-world behaviors, can be enriched by the addition of EEG metrics, and that this may substantially improve the prediction of real-world driving difficulties. Initial ata suggest that the predictors of on-road driving may vary by HIV status, and that age may be a factor as well. Of note, HIV is now considered a chronic, manageable condition in individuals who have access to treatment. Approximately one quarter of HIV infected (HIV+) persons in the U.S. are 50 years or older, with prevalence rates in this age group expected to reach 50% by 20153. While HIV-associated neurocognitive disorders (HAND) are not as severe as in previous generations1, they remain prevalent and can impact everyday functioning, including automobile driving. As with other conditions, clinic-based NP assessments only modestly predict success or failure at real world tasks. Given these factors, in Phase II we propose to emphasize the application of EEG metrics in older HIV+ individuals. The aims of this proposal are to: 1) improve the ease of use of the B-Alert system within the simulation to ensure that assessment is easily executed, with minimal training, 2) develop focused driving simulations that better reflect real-world challenges (e.g., in-car tasks) and contribute to more robust simulator-based EEG data collection, and 3) extend the current findings to a larger sample focused on aging HIV participants, who will complete both laboratory simulations and on-the-road evaluations. This project will occur in two parallel branches. The first branch will involve improving the ease of us of the B-Alert system and expanding the neurocognitive assessments for more driving specific skills (divided attention, useful field of view), and modifying the simulations based on Phase 1 experience (designing screening, and evaluation, simulations). To optimize ease of use, data quality monitoring options (e.g., window in window displays with STI software, remote notification of issues such as a belt buzzer, or pop up on a remote screen) will be developed, along with one-step applications with dry-gel sensor interface. The second branch will expand our Phase 1 results by focusing on an aging population and increasing the sample size to 50 HIV+ and 50 HIV- drivers > 55 years of age. All participants will complete the cognitive assessments and simulations, and half of each of group will complete the on-the-road assessments. As part of this branch, we will also leverage the development of semi-dry electrodes to evaluate the utility of these sensors for data quality in real-world applications. Participants will be recruited from the HIV Neurobehavioral Research Center and Owen HIV Clinic at UCSD. If successful, the proposed tool would 1) provide researchers with a new method for assessing components of real-world functioning, 2) validate the first on-road driving cognitive state algorithms, and 3) develop predictors of on-road driving impairments, reducing the need for potentially dangerous real-life driving assessments, The envisioned final product would a) allow for integration of in-laboratory and in-the-wild assessments for a variety of real world applications, b) be available for use by researchers, clinicians, and public safety officials and c) be relevant to a broad range of conditions, including aging and various neurologic (e.g., stroke, TBI recovery) and psychiatric (e.g., substance use) disorders.

 描述（由适用提供）：在第1阶段，我们的团队能够通过减少硬件系统的整体概况，在现实世界活动中标记事件的实时评论，并在现实世界环境中对现实世界环境进行评估（和确认）对现实世界活动（和确认）进行评估（和确认），从而增强了在道路评估中使用的ABM B-ALERT系统。此外，对参与，干扰/嗜睡和工作量的B-ALERT算法进行了验证，以用于HIV+人群中，并应用于实验室的认知评估，模拟驾驶和道路驾驶中。第1阶段的数据表明，只能通过添加脑电图指标来丰富传统的诊所/实验室评估，这些诊所/实验室评估只能在预测现实世界中进行谦虚，这可能会实质上改善对现实世界中驾驶困难的预测。最初的ATA表明，道路驾驶的预测因素可能因艾滋病毒状况而有所不同，而年龄也可能是一个因素。值得注意的是，艾滋病毒现在被认为是可以接受治疗的人的慢性，可管理的状况。在美国，大约四分之一的艾滋病毒感染（HIV+）患者年龄在50岁以上，到20153年，该年龄段的患病率预计将达到50％。虽然与HIV相关的神经认知障碍（手）并不像前一代那样严重，但它们仍然普遍存在，并且可能会影响每天的每天功能，包括Automobile驾驶。与其他条件一样，基于诊所的NP评估仅适度预测现实世界任务的成功或失败。鉴于这些因素，在第二阶段，我们建议强调脑电图指标在老年HIV+个体中的应用。该提案的目的是：1）提高模拟中B-ALERT系统的易于使用，以确保易于执行评估，并进行最少的培训，2）更好地反映现实世界中的挑战（例如，车内任务）（例如，在车内任务）（例如，在基于型模拟的EEG数据收集）中，并促进了较大的EEG数据集合，并促进了较大的EEG数据集合，并努力将其范围扩展到较大的范围，以扩展船只的范围，以扩展到范围的范围。模拟和公路评估。该项目将在两个平行分支中发生。第一个分支将涉及改善B-ALERT系统的便利性，并扩大神经认知评估，以获得更多的特定技能（分数的注意力，有用的视野），并根据第1阶段的经验（设计筛选和评估，模拟）修改模拟。为了优化易用性，将开发数据质量监视选项（例如，使用STI软件的窗口显示器显示窗口，将开发出诸如Belt Buzzer或在远程屏幕上弹出等问题的远程通知），以及带有Dry-Gel传感器接口的一步应用程序。第二个分支将通过关注老龄化的人群并将样本量增加到50 HIV+和50 HIV-驱动因素> 55岁。所有参与者将完成认知评估和模拟，每个小组的一半将完成公路评估。作为该分支机构的一部分，我们还将利用半齐电极的开发来评估这些传感器在现实世界应用中的数据质量的效用。参与者将从UCSD的HIV神经行为研究中心和Owen HIV诊所招募。如果成功，则提出的工具将为研究人员提供一种评估现实世界功能的组成部分的新方法，2）验证第一个公路驾驶的认知状态算法，以及3）3）3）3）3）3）3）3）3）3）3）需要评估现实的最终产品，以促进现实的范围，并允许整合的范围，并允许一体化，并允许逐渐成立，并允许逐渐成立，并允许一定范围的范围，并在劳动中进行一体化，并在劳动中添加，并在劳动中逐渐融合。 b）可供研究人员，临床医生和公共安全官员使用，c）与各种疾病有关，包括衰老和各种神经系统（例如，中风，TBI康复）和精神病学（例如，药物使用）疾病。