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

基本信息

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
项目类别：
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&apos s Disease Alzheimer&apos 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

项目摘要

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：通过基于网络的精确衰老认知评估精准老龄化网络 (PAN) 的首要目标是缩小认知之间的差距我们建议通过使用精确度来最好地实现这一目标。基于药物的方法有助于解决个体对与年龄相关的认知能力下降的敏感性 (ARCI) 以及阿尔茨海默病 (AD) 和 AD 相关痴呆 (ADRD) 的关键路点。实现这种精确方法的途径是对大量、多样化的正常老年人群体进行研究，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——可能是预测 ARCI、AD 和 ADRD 风险变化为了实现这一目标，PAN 建立了四个项目：将招募并研究这样的群体，从而启动接下来的步骤，以实现最终的“精准老龄化” 项目 1 通过持续招募和扩张大型企业，在该合资企业中发挥着关键作用。此外，项目 1 将支持选择性招募特定人群。参与者通过项目 2 进行深入的面对面表征，并为新型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 将扩展我们现有的基于互联网的 MindCrowd 研究，具体如下： (a) 增加注册人数；未充分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) 扩大基于网络的测试电池，涵盖认知功能的其他领域，以及（c）进行持续两年的测试使用扩展测试组进行纵向评估研究网站（位于 www.mindcrowd.org），位于自2013年1月运营以来，已在全国招募了超过213,000人。认知任务可以通过学习网站以西班牙语和英语进行，并且所有未来的任务 - 与认知评估和神经影像 (CAN) Core E 合作开发 – 将我们还开发了双语版本，并成功展示了收集额外内容的能力。自我报告调查数据以及这些人的血液生物样本和分子遗传数据，甚至尽管很少有人亲自见过这个基于网络的群体的参与者，但这表明了这一点。利用互联网实现研究大样本、多样化样本的重要性和可行性推动精准医学临床方法的发展。获取拟议的大型、多样化的横截面和纵向数据集将使我们能够回答以下问题 PAN 提出的中心研究问题此外，PAN 获得的数据将公开。在授予期间通过定期发布提供，以便充分供国家研究使用研究认知衰老、AD 和 ADRD 的社区。