The MobileToolbox for Monitoring Cognitive Function

总体汇总 痴呆症的患病率随着年龄的增长而增加。然而，预计会出现一些认知能力下降 作为正常衰老的一部分，从成年早期开始。区分正常与病理 在整个成年期的认知变化沿着相关的风险因素对两者都是至关重要的 预防和治疗异常认知能力下降。不幸的是，目前这样做的能力受到阻碍 缺乏敏感的评估工具，可以很容易地广泛部署在不同的研究 设计和人口。我们将通过开发、验证、规范和 传播适用于远程智能手机的认知评估移动数据库 在20至85岁的成年人中施用。我们将通过以下目标实现这一目标： 1.创建基于iOS和Android智能手机的评估的移动数据库。这些将 借鉴我们在NIH的现有工作，国际认知能力资源（ICAR），ResearchKit， ResearchStack和FaceName测试。移动电话还将使其他措施的交付 变量（例如，已知是认知的重要协变量，包括来自患者的测量 报告结果计量信息系统（PROMIS）和其他计量收集。的 库将是开源的，可用于集成额外的外部开发的测试。 2.开发和维护MobileResearch平台，这是一个支持临床的软件平台 研究人员和软件开发人员在动态的，可定制的集成移动的网络 把图书馆变成研究。这将作为Sage构建的平台的扩展进行开发 Bionetworks支持2015年推出的Apple ResearchKit。该平台将支持研究人员 贡献或选择评估，管理研究和评估协议，以及接收，存储， 汇总、分析和共享（视情况而定）使用iOS和/或Android智能手机设备收集的数据。 3.进行心理测量活动，以验证，规范和评估移动通信的可靠性 一般人口和各种研究样本，以建立一般人口参考规范。 认知评估将在20-85岁的健康成年人中根据金标准测量进行验证。的 然后将测量标准化，并计算年龄- 分层（20-85），iOS与Android，国家样本匹配2020年美国人口普查（N= 6，800）的性别，种族， 种族、社会经济地位和教育水平。额外的验证和纵向评价将在 健康和临床样品，包括有MCI或AD风险的人、认知受损的人和患有 帕金森氏症。

Overall Summary The prevalence of dementia increases with advancing age. However, some cognitive decline is expected to occur as part of normal aging beginning in early adulthood. Differentiating normal from pathological cognitive change across the adult lifespan along with associated risk factors is essential for both preventing and treating abnormal cognitive decline. Unfortunately, current ability to do this is hampered by a lack of sensitive assessment tools that can be easily and widely deployed in diverse research designs and populations. We will address this limitation by developing, validating, norming, and disseminating a MobileToolbox of cognitive assessments appropriate for remote smartphone administration in adults aged 20 to 85. We will accomplish this objective via the following aims: 1. Create the MobileToolbox Library of iOS and Android smart-phone based assessments. These will draw from our existing work within NIH Toolbox, International Cognitive Ability Resource (ICAR), ResearchKit, ResearchStack, and the FaceName Test. The MobileToolbox will also enable delivery of additional measures of variables (e.g., mood) known to be important co-variates of cognition including measures from the Patient Reported Outcomes Measurement Information System (PROMIS) and other measurement collections. The library will be open source and available for integration of additional externally developed tests. 2. Develop and maintain the MobileToolbox Research Platform, a software platform to support clinical researchers and software developers in the dynamic, customizable integration of Mobile Toolbox Library into research studies. This will be developed as an extension of the platform built by Sage Bionetworks to support the 2015 launch of Apple’s ResearchKit. The Platform will support researchers to contribute or select assessments, to manage study and assessment protocols, and to receive, store, aggregate, analyze and share (as appropriate) data collected using iOS and/or Android smartphone devices. 3. Conduct psychometric activities to validate, norm and assess the reliability of the MobileToolbox in both general population and various research samples to create general population reference norms. The cognitive assessments will be validated against gold standard measures in healthy adults ages 20-85. The measures will then be normed and 3-month, 12-month and 24-month change scores calculated in an age- stratified (20-85), iOS vs Android, national sample matching the 2020 US Census (N=6,800) for gender, race, ethnicity, SES and level of education. Additional validation and longitudinal evaluation will be conducted in healthy and clinical samples, including persons at risk for MCI or AD, cognitively impaired and those with Parkinson’s disease.