Ambulatory Methods for Measuring Cognitive Change

项目摘要 需要对认知变化进行准确和敏感的测量，以促进理解 正常认知老化和神经认知障碍，如阿尔茨海默病。 不幸的是，限制时间精确性和引入 混淆阻碍了认知变化研究的进展。移动的评估方法 提供新的机会，通过减少地理、空间和 由亲自认知测试施加的人员限制。我们相信使用移动的 “随时随地”评估认知的技术具有巨大的变革潜力 生物医学研究，通过提高检测和准确监测认知变化。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， 在自然环境中反复评估。我们还将使用移动的评估， 通过结合新颖的设计特征（例如，表示“双”之义 基线评估），并增加纵向评估的频率。 作为对RFA-AG-18-012的回应，我们建议开发移动的监测基础设施 认知变化（M2 C2），将为研究界提供开放，灵活， 可用的工具，使科学进步，这取决于敏感和准确的 认知变化的测量。我们将通过实现以下目标来建立这一基础设施： 的目标。首先，我们将建立快速迭代的试验和测试开发程序 这将加快我们对候选移动的进行原型设计、部署、评估和优化的能力 认知测试，以满足心理测量，可访问性和参与基准（目标1： 迭代设计和试点）。第二，评估信度、结构效度和纵向效度。 移动的认知测试程序的有效性（目标2：可靠性和有效性）在一个种族多样的 概率抽样第三，我们在一个独立的，全国性的 具有代表性的基于概率的样本，并创建具有全国代表性的规范（目标3： 复制）。第四，我们将测试我们的管道和程序， 通过评估新的纳入措施，将新的纳入措施纳入移动的评估基础设施 由我们直接研究团队以外的研究者提名（目标4：扩展）。

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).