Ambulatory Methods for Measuring Cognitive Change

测量认知变化的流动方法

• 批准号: 10213641
• 负责人: Martin J Sliwinski
• 金额: $ 77.72万
• 依托单位: PENNSYLVANIA STATE UNIVERSITY, THE
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-15 至 2023-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10213641
• 关键词: Age; Aging; Alzheimer' s Disease; Americas; Behavioral; Behavioral Research; Benchmarking; Biomedical Research; Cognition; Cognitive; Cognitive aging; Collaborations; Communities; Computer software; Data; Detection; Development; Devices; Early Intervention; Ecological momentary assessment; Environment; Family; Fatigue; Frequencies; Geography; Goals; Health Care Costs; Human Resources; Impaired cognition; Infrastructure; Laboratories; Life; Measurement; Measures; Medicine; Methodology; Methods; Modeling; Monitor; Moods; Neurocognitive Deficit; Neurologic; Noise; Participant; Performance; Persons; Play; Prevention; Preventive measure; Probability; Probability Samples; Procedures; Process; Psychometrics; Quality of life; Reaction Time; Research; Research Infrastructure; Research Personnel; Risk Factors; Role; Sampling; Source; Stress; Symptoms; Technology; Testing; United States National Institutes of Health; Validation; Validity and Reliability; Work; age effect; age related; age related cognitive change; base; brain health; clinical practice; cognitive change; cognitive function; cognitive process; cognitive testing; college; cost effective; cost effectiveness; demographics; design; effective therapy; experience; flexibility; handheld mobile device; human old age (65+); improved; indexing; innovation; inter-individual variation; iterative design; longitudinal design; mobile computing; modifiable risk; neuropathology; next generation; novel; novel strategies; performance tests; prevent; prototype; racial diversity; recruit; response; sensor technology; smartphone based assessment; statistics; theories; tool; user-friendly

Project Summary Accurate and sensitive measurement of cognitive change is required to advance understanding of normative cognitive aging and neurocognitive impairments, such as Alzheimer's disease. Unfortunately, methodological barriers that constrain temporal precision and introduce confounds in impede progress in the study of cognitive change. Mobile assessment approaches afford novel opportunities to overcome these barriers by mitigating geographic, space and personnel constraints imposed by in-person cognitive testing. We believe that using mobile technology to assess cognition “anytime, anyplace” holds great potential to transform biomedical research by improving detection and accurate monitoring of cognitive change. We will develop cognitive tests and software for use in ecological momentary assessment (EMA) measurement burst studies, an intensive longitudinal design which involves bursts of frequent, repeated assessments in naturalistic environments. We will also use mobile assessments to enhance traditional longitudinal designs by incorporating novel designs features (e.g., double- baseline assessments), and by increasing the frequency of longitudinal assessments. In response to RFA-AG-18-012, we propose to develop infrastructure for the Mobile Monitoring of Cognitive Change (M2C2) that will provide the research community with open, flexible, and usable tools to enable scientific progress that depends on the sensitive and accurate measurement of cognitive change. We will build this infrastructure by accomplishing the following aims. First, we will establish rapid iterative piloting and test development procedures that accelerate our capacity to prototype, deploy, evaluate, and optimize candidate mobile cognitive tests to meet psychometric, accessibility, and engagement benchmarks (Aim 1: Iterative Design & Piloting). Second, evaluate reliability, construct validity, and longitudinal validity of mobile cognitive testing procedures (Aim 2: Reliability & Validity) in a racially diverse probability sample. Third, we replicate psychometric results in an independent, nationally representative probability based sample, and create nationally representative norms (Aim 3: Replication). And fourth, we will test our pipeline and procedures for incorporating new measures into the mobile assessment infrastructure by evaluating novel measures for inclusion that are nominated by investigators outside of our immediate research team (Aim 4: Extension).

项目概要 需要准确、灵敏地测量认知变化来促进理解 正常认知衰老和神经认知障碍，例如阿尔茨海默病。 不幸的是，方法上的障碍限制了时间精度并引入了 混淆阻碍了认知变化研究的进展。移动评估方法 提供新的机会，通过减少地理、空间和 面对面认知测试所施加的人员限制。我们相信使用移动设备 “随时随地”评估认知的技术具有巨大的变革潜力 通过改进认知变化的检测和准确监测来进行生物医学研究。我们 将开发用于生态瞬时评估（EMA）的认知测试和软件 测量突发研究，一种密集的纵向设计，涉及频繁的突发， 在自然环境中进行重复评估。我们还将使用移动评估 通过结合新颖的设计特征（例如，双 基线评估），并增加纵向评估的频率。 为了响应 RFA-AG-18-012，我们建议开发移动监控基础设施 认知变革 (M2C2) 将为研究界提供开放、灵活和 可用的工具来实现科学进步，这取决于敏感和准确的 认知变化的测量。我们将通过完成以下任务来建设这一基础设施 以下目标。首先，我们将建立快速迭代试点和测试开发程序 加快我们的原型设计、部署、评估和优化候选移动设备的能力 认知测试以满足心理测量、可及性和参与度基准（目标 1： 迭代设计和试点）。其次，评估信度、构建效度和纵向 移动认知测试程序在种族多元化的情况下的有效性（目标 2：可靠性和有效性） 概率样本。第三，我们在独立的全国范围内复制心理测量结果 基于代表性概率的样本，并创建全国代表性规范（目标 3： 复制）。第四，我们将测试我们的管道和程序，以纳入新的 通过评估新的包容性措施来衡量移动评估基础设施 由我们直接研究团队之外的研究人员提名（目标 4：扩展）。