VULNERABILITY AND RESILIENCY IN THE AGING ADULT BRAIN CONNECTOME (AABC)

衰老成人大脑连接体 (AABC) 的脆弱性和弹性

• 批准号: 10673890
• 负责人: Beau M Ances
• 金额: $ 674.02万
• 依托单位: WASHINGTON UNIVERSITY
• 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/10673890
• 关键词: Adult; Affect; Aging; Alzheimer' s Disease; Alzheimer' s disease related dementia; Alzheimer' s disease risk; Alzheimer’s disease biomarker; Amyloid beta-Protein; Behavior; Biological; Biological Markers; Blood; Blood Pressure; Brain; Centenarian; Clinical; Cognition; Cognitive; Communities; Conceptions; Data; Data Analyses; Databases; Dementia; Development; Diet; Dimensions; Disease; Early identification; Elderly; Enrollment; Ensure; Foundations; Funding; General Population; Genetic; Goals; Health; Human; Human Resources; Image; Image Analysis; Impaired cognition; Impairment; Individual; Inflammation; Informatics; Infrastructure; Leadership; Life; Life Style; Light; Longevity; Magnetic Resonance Imaging; Magnetic Resonance Spectroscopy; Maps; Menopause; Mission; Multimodal Imaging; Multiomic Data; Neurocognitive; Participant; Pathology; Pattern; Perimenopause; Phase Transition; Phenotype; Physical activity; Physiological; Plasma; Population; Postmenopause; Protocols documentation; Quality Control; Race; Request for Applications; Research Personnel; Resistance; Resolution; Resources; Risk; Risk Factors; Running; Sampling; Site; Specimen; Standardization; Statistical Models; Stress; Structure; Symptoms; Time; Underrepresented Populations; United States National Institutes of Health; Woman; aged; allostatic load; cognitive change; cognitive testing; cohort; connectome; data acquisition; data integration; data sharing; data sharing networks; follow-up; genetic information; multiple omics; neural; neurochemistry; neurofilament; neuroimaging; neuroinflammation; novel; phenotypic data; physical inactivity; pre-clinical; preservation; psychologic; recruit; resilience; resilience factor; response; sex; sleep quality; social; statistics; tau-1; vasomotor symptoms

ABSTRACT FOR OVERVIEW The Aging Adult Brain Connectome (AABC) leverages the existing infrastructure developed by the Human Connectome Project for Aging (HCP-A) by obtaining longitudinal follow-up data (neuroimaging, cognitive testing, and blood) using a standardized protocol from a well characterized cohort of over 1,000 healthy individuals to generate within-participant brain trajectories for up to 10 years. At initial recruitment, individuals enrolled in the HCP-A were generally physically and cognitively healthy but over time some will develop preclinical AD or early cognitive changes due to AD or ADRD. The AABC is comprised of four Projects: Project 1 examine the effects of stress and allostatic load, including inflammation, during the early adult period. Project 2 examines the effects of lifestyle behaviors on the trajectory of cognitive and brain changes during the mid adult period. Project 3 examine the effects of menopause transition/vasomotor symptoms during the mid adult period. Project 4 exam- ine the clinical and neural indicators of resiliency and resistance to AD and ADRD in the later decades of adult- hood. The AABC also consists of 4 Cores: The Administration Core (AC) will provide essential core and site leadership to carry out the scientific mission of the AABC. The diversity recruitment and retention unit (DRRU) will be located within this core and will ensure that the AABC continues to recruit and retain an adequate distri- bution of races that is currently seen in the US. The Integrated Data Acquisition Core (IDAC) provides expertise and personnel from each site to acquire high quality neuroimaging, deep phenotyping of non-imaging data, and biosamples from each site.The Informatics, Data Analysis, and Statistics Core (IDASC) will house project imag- ing data using the IntraDB database, will perform quality control of raw and analyzed data, will develop and run cross-sectional and longitudinal pipelines to produce multi-modal imaging data phenotypes for each project, will provide dimension-reduced summaries, will impute missing data; and will develop and run statistical models for each project. The IDASC will also be responsible for data sharing with the general public. The Genetics and Multi-omics Specimens Core (GMSC) will provide genetic information on participants evaluated through the AABC who have been characterized using a uniform protocol. Multi-omic data and AD biomarker data will be generated by the GMSC.

概述摘要 老龄成人脑连接组（AABC）利用人类开发的现有基础设施， 通过获得纵向随访数据（神经成像，认知测试， 和血液）使用标准化方案从超过1，000名健康个体的良好表征的队列中， 生成长达10年的参与者大脑轨迹。在最初招募时， HCP-A通常身体和认知健康，但随着时间的推移，一些人将发展为临床前AD或早期AD。 AD或ADRD引起的认知变化。AABC由四个项目组成：项目1检查 压力和非稳态负荷，包括炎症，在成年早期。项目2研究了 生活方式行为的轨迹上的认知和大脑的变化在中期成人时期。项目3 检查更年期过渡/血管炎症状在中年时期的影响。项目4考试- 在成年后的几十年里，对AD和ADRD的恢复力和抵抗力的临床和神经指标进行了研究- 胡德。AABC还包括4个核心：行政核心（AC）将提供必要的核心和网站 领导执行AABC的科学使命。多样性招聘和保留单位（DRRU） 将位于这一核心内，并将确保AABC继续招募和保留足够的分布- 这是目前在美国看到的种族分布。集成数据采集核心（IDAC）提供专业知识 和来自每个研究中心的人员，以获取高质量的神经成像、非成像数据的深度表型分析，以及 信息学、数据分析和统计核心（IDASC）将容纳项目图像， 使用IntraDB数据库分析数据，将对原始数据和分析数据进行质量控制，将开发和运行 为每个项目生成多模态成像数据表型的横截面和纵向管道将 提供降维总结，将插补缺失数据;并将开发和运行统计模型， 每个项目。IDASC还将负责与公众共享数据。遗传学和 多组学样本核心（GMSC）将提供通过 使用统一方案表征的AABC。多组学数据和AD生物标志物数据将被 由GMSC生成。