Project 1: MindCrowd: Precision Aging Cognitive Assessment Through a Web-based Network

项目 1：MindCrowd：通过基于 Web 的网络进行精准老龄化认知评估

• 批准号: 10689320
• 负责人: Matt Huentelman
• 金额: $ 69.37万
• 依托单位: UNIVERSITY OF ARIZONA
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-30 至 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10689320
• 关键词: Address; Adult; Age; Age-associated memory impairment; Aging; Alzheimer' s Disease; Alzheimer' s disease related dementia; Black race; Blood; Clinical; Cognitive; Cognitive aging; Cohort Studies; Collaborations; Collection; Communities; Consent; Country; Data; Demographic Factors; Development; Dryness; Electronics; Enrollment; Frequencies; Funding; Future; Generations; Genotype; Goals; Grant; Health; Hispanic; Hour; Human; Individual; Internet; Latino; Life Style; Longevity; Medical; Memory; Molecular; Molecular Genetics; Not Hispanic or Latino; Online Systems; Paired-Associate Learning; Participant; Patient Self-Report; Performance; Persons; Phase; Play; Population; Population Heterogeneity; Predictive Factor; Predisposition; Printing; Quality of life; Reaction Time; Recontacts; Research; Research Personnel; Resistance; Risk; Role; SNP array; Sampling; Site; Spottings; Statistical Data Interpretation; Surveys; Testing; Time; Visual; Work; bilingualism; biomarker discovery; clinical research site; cognitive function; cognitive task; cognitive testing; cohort; dashboard; demographics; design; empowerment; executive function; healthspan; interest; longitudinal dataset; model development; neuroimaging; normal aging; novel marker; operation; performance tests; personalized approach; precision medicine; predictive modeling; processing speed; recruit; social

SUMMARY/ABSTRACT: Project 1 MindCrowd: Precision Aging Cognitive Assessment Through a Web-based Network The overarching goal of the Precision Aging Network (PAN) is to close the gap between cognitive healthspan and human lifespan. We propose that this goal will be best achieved through the use of precision medicine-based approaches to help address individualized susceptibilities to age-related cognitive decline (ARCI) as well as to Alzheimer’s disease (AD) and AD-related dementias (ADRDs). A critical waypoint on the path to this precision approach is the study of a large, diverse cohort of normally aging adults to help us better characterize the multitude of factors – demographic, health, medical, lifestyle, and molecular – that may be predictive of altered risk for ARCI, AD, and ADRD. To achieve this, the PAN has established four Projects that will recruit and study such a cohort, thereby initiating these next steps toward an eventual “Precision Aging” approach. Project 1 plays a critical role in this venture via the continued recruitment and expansion of a large, diverse internet-based cohort. Additionally, Project 1 will empower the selective recruitment of specific participants for in-depth face-to-face characterization by Project 2 as well as contribute to the novel biomarker discoveries in Project 3, and the predictive model development approaches in Project 4. Project 1 will expand our existing internet-based MindCrowd study as follows; (a) increase the enrollment of understudied demographics including Hispanic/Latino and non-Hispanic Black participants, (b) enlarge the web-based test battery to cover additional domains of cognitive functions, and (c) conduct on-going two-year longitudinal assessments using the expanded test battery. The study site (located at www.mindcrowd.org), in operation since January 2013, has already recruited over 213,000 individuals from across the country. The cognitive tasks are available through the study site in both Spanish and English, and all future tasks – developed in collaboration with the Cognitive Assessment and Neuroimaging (CAN) Core E – will be developed as bi-lingual versions as well. We have successfully demonstrated an ability to collect additional self-report survey data as well as blood biospecimens and molecular genetic data from these individuals, even though few participants from this web-based cohort have been seen in-person. Together this demonstrates the importance and feasibility of using the internet to achieve the goal of studying large and diverse samples to power the development of a precision medicine clinical approach. Acquiring the proposed large, diverse cross-sectional and longitudinal data sets will enable us to answer the central research questions proposed by the PAN. Additionally, the data obtained by the PAN will be openly available via regular releases during the granting period in order to be fully available to the national research community studying cognitive aging, AD, and ADRD.

摘要/摘要：项目1 MindCrowd：通过基于网络的网络进行精确老化认知评估 精确老化网络（PAN）的总体目标是缩小认知之间的差距 HealthSpan和人类寿命。我们建议通过使用精确度来最好地实现此目标 基于医学的方法，以帮助解决与年龄相关的认知下降的个性化敏感性 （ARCI）以及阿尔茨海默氏病（AD）和与广告相关的痴呆症（ADRDS）。在 通往这种精确方法的途径是研究大型，潜水员通常老化的成年人，以帮助我们更好 表征人口，健康，医学，生活方式和分子的多种因素 - 可能是 预测ARCI，AD和ADRD风险的改变。为了实现这一目标，PAN建立了四个项目 将招募和研究这样的队列，从而启动这些下一步的步骤，以“精确老化” 方法。项目1通过继续招募和扩展大型， 多样化的基于互联网的队列。此外，项目1将授权特定的选择性招募 通过项目2进行深入的面对面表征的参与者，并为新颖的生物标志物做出了贡献 项目3中的发现以及项目4中的预测模型开发方法。 项目1将扩展我们现有的基于Internet的MindCrowd研究，如下所示； （a）增加注册 正在研究的人口统计数据，包括西班牙裔/拉丁裔和非西班牙裔黑人参与者，（b）扩大 基于Web的测试电池以涵盖认知功能的其他域，以及（c）进行持续的两年 使用扩展的测试电池进行纵向评估。研究地点（位于www.mindcrowd.org），in 自2013年1月以来的运营已经招募了来自全国各地的213,000多人。这 认知任务可通过研究网站提供西班牙语和英语以及所有未来的任务 - 与认知评估和神经影像学（CAN）核心E开发 也以双语版本开发。我们已经成功证明了能够收集其他的能力 自我报告调查数据以及这些个体的血液生物测量和分子遗传数据，甚至 尽管很少有人看到这个基于网络的队列的参与者。一起证明了 使用互联网来实现研究大型样本的目标的重要性和可行性 为精密医学临床方法的发展提供动力。 获取拟议的大型，潜水的横截面和纵向数据集将使我们能够回答 PAN提出的中央研究问题。此外，PAN获得的数据将公开 在授予期内通过常规版本获得，以便为国家研究充分使用 研究认知衰老，AD和ADRD的社区。