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：基于网络的精准老龄化认知评估 精准老龄化网络(PAN)的首要目标是缩小认知和认知之间的差距 健康寿命和人的寿命。我们建议，通过使用精确度将最好地实现这一目标 以医学为基础的方法，帮助解决与年龄相关的认知衰退的个性化易感性 (ARCI)以及阿尔茨海默病(AD)和AD相关痴呆(ADRD)。一个关键的路点在 实现这一精确方法的途径是对一大批不同的正常老龄化成年人进行研究，以帮助我们更好地 描述多种因素--人口、健康、医疗、生活方式和分子--可能 预测ARCI、AD和ADRD的风险改变。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一批人，从而启动这些最终走向“精确老龄化”的下一步 接近。项目1通过继续招聘和扩大大型、 基于互联网的多样化队列。此外，项目1将授权有选择地招聘特定人员 通过项目2进行深入面对面描述的参与者，以及对新的生物标记物的贡献 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将扩大我们现有的基于互联网的MindCrowd研究如下：(A)增加 研究不足的人口统计数字，包括西班牙裔/拉丁裔和非西班牙裔黑人参与者，(B)扩大 基于网络的测试组合，以涵盖其他认知功能领域；以及(C)持续两年 使用扩展测试电池进行纵向评估。这项研究的网站(网址：www.MindCrowd.org)位于 自2013年1月开始运作以来，已经从全国各地招募了超过21.3万人。这个 认知任务通过研究网站以西班牙语和英语提供，所有未来的任务- 与认知评估和神经成像(CAN)合作开发的核心E-Will 还开发了双语版本。我们已经成功地展示了收集更多 这些人的自我报告调查数据以及血液生物样本和分子遗传学数据，甚至 尽管来自这个基于网络的队列的参与者很少有人亲眼目睹。总而言之，这说明了 利用互联网实现大样本和多样性样本研究的重要性和可行性 推动精准医学临床方法的发展。 获取建议的大型、多样化的横截面和纵向数据集将使我们能够回答 PAN提出的中心研究问题。此外，PAN获得的数据将是公开的 在授权期内通过定期发布的形式提供，以便完全提供给国家研究 社区研究认知老化、阿尔茨海默病和ADRD。