Building a shared infrastructure for cognitive assessment in the service of cognitive training research

构建认知评估共享基础设施，服务于认知训练研究

• 批准号: 10311873
• 负责人: JOAQUIN A ANGUERA
• 金额: $ 21.46万
• 依托单位: UNIVERSITY OF CALIFORNIA RIVERSIDE
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-05 至 2023-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10311873
• 关键词: Address; Alzheimer' s Disease; Alzheimer' s disease related dementia; Alzheimer' s disease risk; Assessment tool; Award; Basic Science; Brain; Calibration; Cellular Phone; Clinical; Cognition; Cognitive; Communities; Computer software; Custom; Data; Diagnostic; Effectiveness; Effectiveness of Interventions; Elderly; Enrollment; Ensure; Evaluation; Face; Future; Goals; Grant; Health; Health Insurance Portability and Accountability Act; Health Personnel; Hearing; Impaired cognition; Industry; Infrastructure; Intelligence; Intervention; Knowledge; Libraries; Light; Liquid substance; Literature; Longitudinal Studies; Measurement; Measures; Methods; Mission; Modernization; Monitor; Music; National Institute of Drug Abuse; National Institute of Mental Health; National Institute of Neurological Disorders and Stroke; National Institute on Alcohol Abuse and Alcoholism; Outcome; Outcome Measure; Participant; Personal Satisfaction; Phase; Physiological; Population; Procedures; Psyche structure; Psychometrics; Public Health; Research; Research Personnel; Research Project Grants; Research Training; Rest; Risk; Risk Assessment; Running; Scientist; Security Measures; Seeds; Services; Short-Term Memory; Site; Societies; Standardization; System; Systems Development; Tablets; Technology; Testing; Time; Training; Translating; Translations; Underserved Population; United States National Institutes of Health; Validation; Vision; Work; base; cloud based; cognitive ability; cognitive control; cognitive system; cognitive testing; cognitive training; data visualization; disability burden; effectiveness evaluation; experience; fitness; flexibility; functional decline; handheld mobile device; improved; interoperability; migration; mindfulness; novel; participant enrollment; prototype; recruit; research study; sensor; software development; software infrastructure; software systems; sound; tool; training project; visual tracking

Effective measurement of cognitive abilities is fundamental to effective diagnostics, risk assessment and evaluation of interventions targeted towards older adults (OA) and in particular those with Alzheimer's Disease and related dementias (ADRD). With the ubiquitous availability of smartphone/tablet technology in modern society a proliferation of mobile cognitive assessments from companies, healthcare providers, and researchers are being developed. However, a difficulty in evaluating such interventions, and in particular making comparison between them is the lack of standardization/interoperability of assessment tools. This is especially the case for early stage/mechanistic studies where it is common for investigators to each use their own labs' toolset to evaluate intervention outcomes. Here we address particular needs in the field of cognitive training, as well as for other longitudinal assessments focused on OA, where the limited standardization and accessibility of cognitive outcome measures makes it difficult to evaluate effectiveness of interventions. This R21/R33 infrastructure proposal seeks to develop shared tools to facilitate effective translation and sharing of cognitive assessment and training procedures. We accomplish this by leveraging technologies, existing assessment batteries, and know- how from 3 groups that have each independently developed robust systems for cognitive assessment and training that can run on mobile devices (UCR Brain Game Center, UCSF Neuroscape Center, and UCI Working Memory and Plasticity Lab). We target development of systems that allow for interoperability of assessments, enrollment/participant tracking systems, data visualization, and participant compliance systems. In the R21 phase, we aim to develop such systems and demonstrate that they can be effectively shared across labs, and in the R33 phase, these systems will be both tested for robustness in large scale-research projects that will now be able to share outcome measures, and for developing personalized, precision training approaches for participants based upon these assessments. Further, these systems will be documented and will be shared with other scientists groups to reduce the barrier of entry for other groups. The long-term impact of this work will be an infrastructure that will support better comparison across studies of cognitive training, as well as other interventions that are increasingly being used to ameliorate cognitive declines in older adults such as those related to ADRD. The key value of this system compared to others is that it will simultaneously support the flexibility required for basic research, by facilitating groups to continue to use their own lab's software systems, while at the same time providing them with a powerful infrastructure for sharing that allows them to incorporate assessments, server infrastructure and compliance tools into their own studies. This will facilitate comparisons across studies using common outcome measures as well as the ability to use the same assessments in numerous other domains including risk-assessment and longitudinal testing in older adults at risk for ADRD.

有效测量认知能力是有效诊断，风险评估和 评估针对老年人（OA）的干预措施，尤其是患有阿尔茨海默氏病的干预措施 和相关痴呆症（ADRD）。随着智能手机/平板电脑技术在现代的无处不在 社会对公司，医疗保健提供者和研究人员的移动认知评估的扩散 正在开发。但是，难以评估此类干预措施，特别是进行比较 它们之间的是缺乏评估工具的标准化/互操作性。尤其是 早期阶段/机械研究，调查人员通常使用自己的实验室的工具集很常见 评估干预结果。在这里，我们解决了认知培训领域的特殊需求以及 其他纵向评估的重点是OA，其中认知的标准化有限和可及性 结果措施使得很难评估干预措施的有效性。此R21/R33基础架构 提案旨在开发共享工具，以促进认知评估的有效翻译和共享 培训程序。我们通过利用技术，现有的评估电池和知识来实现​​这一目标 如何从每个独立地开发出强大的系统进行认知评估和 可以在移动设备上进行的培训（UCR脑游戏中心，UCSF Neuroscape Center和UCI工作 记忆和可塑性实验室）。我们针对的是允许评估互操作性的系统的开发， 注册/参与者跟踪系统，数据可视化和参与者合规系统。在R21中 阶段，我们旨在开发此类系统，并证明它们可以在实验室中有效共享，并且 在R33阶段，这些系统将在大规模研究项目中的鲁棒性进行测试 能够分享成果措施，并为开发个性化的精确培训方法 基于这些评估的参与者。此外，将记录这些系统并将与 其他科学家团体减少其他群体的入境障碍。这项工作的长期影响将是 一种基础设施，将支持在认知培训的研究中更好地比较以及其他 越来越多地用于改善老年人的认知能力下降的干预措施，例如 与Adrd有关。与其他系统相比，该系统的关键值是同时支持 基础研究所需的灵活性，通过促进小组继续使用自己的实验室软件系统， 同时为他们提供强大的基础架构，以允许他们合并 评估，服务器基础架构和合规工具到自己的研究中。这将有助于比较 在使用共同的结果指标的研究中，以及使用相同评估的能力 在ADRD风险的老年人中，包括风险评估和纵向测试，包括风险评估和纵向测试。