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: 10491872
• 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/10491872
• 关键词: Address; Adult; Age; Age-associated memory impairment; Aging; Alzheimer' s Disease; Alzheimer' s disease related dementia; Black race; Blood; Clinical Medicine; Cognitive; Cognitive aging; Cohort Studies; Collaborations; Collection; Communities; Consent; Country; Data; Demographic Factors; Development; Enrollment; Frequencies; Funding; Future; Generations; Genotype; Goals; Grant; Health; Hispanic; Hour; Human; Individual; Internet; Latino; Life Style; Longevity; Medical; Memory; Molecular; Molecular Genetics; Network-based; Not Hispanic or Latino; Online Systems; Paired-Associate Learning; Participant; Patient Self-Report; Performance; Persons; Phase; Plant Roots; Play; Poaceae; Population; Population Heterogeneity; Predictive Factor; Predisposition; Quality of life; Reaction Time; Research; Research Personnel; Resistance; Risk; Role; SNP array; Sampling; Site; Spottings; Statistical Data Interpretation; Surveys; Testing; Time; Visual; Work; base; biomarker discovery; clinical research site; cognitive function; cognitive task; cognitive testing; cohort; dashboard; demographics; design; 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.

总结/摘要：项目1 MindCrowd：通过基于Web的网络进行精确的老化认知评估 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。 健康寿命和人类寿命。我们建议通过使用精确度来最好地实现这一目标 以医学为基础的方法，以帮助解决与年龄相关的认知能力下降的个体化倾向 （ARCI）以及阿尔茨海默病（AD）和AD相关痴呆（ADRD）。一个关键的航路点， 实现这种精确方法的途径是对一个大型的、多样化的正常老龄化成年人群体进行研究，以帮助我们更好地 描述了众多的因素-人口统计学，健康，医疗，生活方式和分子-这可能是 预测ARCI、AD和ADRD的风险改变。为实现这一目标，PAN设立了四个项目， 我将招募和研究这样一个群体，从而启动这些后续步骤，最终实现“精确老龄化” approach.项目1通过继续招募和扩大一个大型的， 基于互联网的多样化群体。此外，项目1还将增强有选择地征聘特定 参与者通过项目2进行深入的面对面表征，并为新的生物标志物做出贡献 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 未充分研究的人口统计学，包括西班牙裔/拉丁美洲人和非西班牙裔黑人参与者，（B）扩大 以网络为基础的成套测试，以涵盖认知功能的其他领域，以及（c）持续进行为期两年的 使用扩展测试组合进行纵向评估。研究网站（位于www.mindcrowd.org）， 自2013年1月以来，该组织已经从全国各地招募了213 000多人。的 认知任务可通过西班牙语和英语的研究网站，以及所有未来的任务- 与认知评估和神经成像（CAN）核心E -合作开发的 也有双语版本。我们已经成功地证明了收集额外的能力， 自我报告的调查数据以及这些人的血液生物标本和分子遗传数据，甚至 尽管很少有人亲眼见到这个网络群组的参与者。这表明， 利用互联网来实现研究大量和多样化样本的目标的重要性和可行性， 推动精准医疗临床方法的发展。 获得拟议的大型，多样化的横截面和纵向数据集将使我们能够回答 提出的核心研究问题。此外，PAN获得的数据将公开 在资助期内通过定期发布提供，以便充分提供给国家研究 社区研究认知老化、AD和ADRD。