The MobileToolbox for Monitoring Cognitive Function

总体摘要 痴呆症的患病率随着年龄的增长而增加。然而，预计认知能力会有所下降。 作为正常衰老的一部分在成年初期就开始出现。区分正常与病理 成年人一生中的认知变化以及相关的风险因素对两者都是至关重要的 预防和治疗认知功能异常下降。不幸的是，目前这样做的能力受到阻碍。 缺乏可在不同研究中轻松和广泛部署的敏感评估工具 设计和人口。我们将通过开发、验证、规范化和 传播适合远程智能手机的认知评估移动工具箱 适用于20至85岁的成年人。我们将通过以下目标实现这一目标： 1.创建iOS和Android智能手机评估的MobileToolbox库。这些遗嘱 从我们在NIH工具箱、国际认知能力资源(ICAR)、研究工具包、 ResearchStack和FaceName测试。MobileToolbox还将支持交付其他措施 已知的变量(例如，情绪)是认知的重要协变量，包括来自患者的测量 报告结果衡量信息系统(PROMIS)和其他衡量收集。这个 库将是开源的，可用于集成其他外部开发的测试。 2.开发和维护支持临床的软件平台MobileToolbox Research Platform 移动工具箱动态、可定制集成中的研究人员和软件开发人员 将图书馆纳入研究性研究。这将作为Sage构建的平台的扩展而开发 Bionetworks将支持苹果公司2015年推出的ResearchKit。该平台将支持研究人员 贡献或选择评估，以管理研究和评估方案，并接收、存储 汇总、分析和共享(视情况)使用iOS和/或Android智能手机设备收集的数据。 3.开展心理测量活动，以验证、规范和评估MobileToolbox在 既有一般人口研究样本，又有各种研究样本，建立一般人口参考规范。 认知评估将在20-85岁的健康成年人中对照黄金标准进行验证。这个 然后将衡量标准和3个月、12个月和24个月的变化分数计算在一个年龄- 分层(20-85)，iOS与Android，全国样本符合2020年美国人口普查(N=6800)的性别、种族、 种族、社会地位和教育水平。将在#年进行额外的验证和纵向评估 健康和临床样本，包括MCI或AD的高危人群、认知障碍者和 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.