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 老龄化成人大脑连接组 (AABC) 利用人类开发的现有基础设施 通过获取纵向随访数据（神经影像、认知测试、 和血液）使用来自超过 1,000 名健康个体的明确特征队列的标准化方案 生成参与者内部长达 10 年的大脑轨迹。在最初招募时，参加该项目的个人 HCP-A 通常身体和认知健康，但随着时间的推移，有些人会发展为临床前 AD 或早期 AD AD 或 ADRD 导致的认知改变。 AABC 由四个项目组成： 项目 1 检查效果 成年早期的压力和稳态负荷，包括炎症。项目2检验效果 生活方式行为对中年时期认知和大脑变化轨迹的影响。项目3 检查成年中期更年期过渡/血管舒缩症状的影响。项目4考试- 成人后几十年对 AD 和 ADRD 的弹性和抵抗力的临床和神经指标 兜帽。 AABC 还由 4 个核心组成：管理核心 (AC) 将提供必要的核心和站点 领导执行 AABC 的科学使命。多元化招聘和保留部门 (DRRU) 将位于该核心内，并将确保 AABC 继续招募和保留足够的分布 目前在美国看到的比赛的一部分。集成数据采集核心 (IDAC) 提供专业知识 以及每个站点的人员获取高质量的神经影像、非影像数据的深度表型分析，以及 来自每个站点的生物样本。信息学、数据分析和统计核心 (IDASC) 将容纳项目图像- 使用 IntraDB 数据库收集数据，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 提供降维摘要，估算缺失数据；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) 将提供通过评估的参与者的遗传信息 AABC 已使用统一协议进行了表征。多组学数据和 AD 生物标志物数据将 由 GMSC 生成。