Mapping the Human Connectome During Typical Aging

绘制典型衰老过程中的人类连接组图

• 批准号: 9329821
• 负责人: Beau M Ances
• 金额: $ 176.06万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-08-19 至 2018-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9329821
• 关键词: Accounting; Address; Adult; Affect; Age; Aging; Aging-Related Process; Award; Behavior; Behavioral; Biological; Blood Vessels; Brain; Brain Diseases; Brain Mapping; Brain imaging; California; Cholesterol; Cognition; Cognitive; Communities; Creatinine; Cross-Sectional Studies; Data; Data Set; Degenerative Disorder; Diet; Elderly; Employment Status; Enabling Factors; Estrogens; Ethnic Origin; Fasting; Follicle Stimulating Hormone; Gender; General Hospitals; Genetic Status; Glucose; Health; Hormonal; Hormonal Change; Human; Hypertension; Image; Individual; Inflammation; Insulin; Interest Group; Laboratories; Lipids; Longevity; Los Angeles; Luteinizing Hormone; Magnetic Resonance Imaging; Maps; Massachusetts; Measurement; Metabolic; Methods; Minnesota; Modification; Motion; Neurophysiology - biologic function; Neurosciences; Obesity; Older Population; Organ; Pattern; Perimenopause; Personal Satisfaction; Physical activity; Pilot Projects; Procedures; Property; Proteins; Protocols documentation; Race; Regulation; Research Personnel; Resources; Sampling; Scanning; Serum Markers; Site; Sleep; Smoking; Socioeconomic Status; Source; Stress; Survivors; System; Testosterone; Time; United States National Institutes of Health; Universities; Validation; Variant; Washington; age related; aging brain; analytical tool; base; behavior change; behavior test; brain health; computerized data processing; connectome; data acquisition; data sharing; disease diagnosis; fascinate; insight; life history; neural circuit; neuroimaging; prisma; response; senescence; social; success; temporal measurement; tool; young adult

 DESCRIPTION (provided by applicant): The major technological and analytical advances in human brain imaging achieved as part of the Human Connectome Projects (HCP) enable examination of structural and functional brain connectivity at unprecedented levels of spatial and temporal resolution. This information is proving invaluable for enhancing our understanding of normative variation in young adult brain connectivity. It is now timely to use the tools and analytical approaches developed by the HCP to understand how structural and functional wiring of the brain changes during the aging process. Using state-of-the art HCP imaging approaches will allow investigators to push our currently limited understanding of normative brain aging to new levels. We propose an effort involving a consortium of five sites (Massachusetts General Hospital, University of California at Los Angeles, University of Minnesota, Washington University in St. Louis, and Oxford University), with extensive complementary expertise in human brain imaging and aging and including many investigators associated with the original adult and pilot lifespan HCP efforts. This synergistic integration of advances from the MGH and WU-MINN-OXFORD HCPs with cutting-edge expertise in aging provides an unprecedented opportunity to advance our understanding of the normative changes in human brain connectivity with aging. Aim 1 will be to optimize existing HCP Lifespan Pilot project protocols to respect practical constraints in studying adults over a wide age range, including the very old (80+ years). Aim 2 will be to collect high quality neuroimaging, behavioral, and other datasets on 1200 individuals in the age range of 36 - 100+ years, using matched protocols across sites. This will enable robust cross-sectional analyses of age-related changes in network properties including metrics of connectivity, network integrity, response properties during tasks, and behavior. Aim 3 will be to collect and analyze longitudinal data on a subset of 300 individuals in three understudied and scientifically interesting groups: ages 36-44 (when late maturational and early aging processes may co-occur); ages 45-59 (perimenopausal, when rapid hormonal changes can affect cognition and the brain); and ages 80 - 100+ (the `very old', whose brains may reflect a `healthy survivor' state). The information gained relating to these important periods will enhance our understanding of how important phenomena such as hormonal changes affect the brain and will provide insights into factors that enable cognitively intact function into advanced aging. Aim 4 will capitalize on our success in sharing data in the Human Connectome Project (HCP), and will use these established tools, platforms, and procedures to make this data publicly available through the Connectome Coordination Facility.

 描述（由应用程序提供）：作为人类连接项目（HCP）的人脑成像的主要技术和分析进步，可以在空间和临时分辨率的前所未有的水平上检查结构和功能性脑连接性。这些信息为增强我们对年轻成人大脑连通性正常变异的理解提供了宝贵的宝贵。现在，使用HCP开发的工具和分析方法是及时的，以了解大脑在衰老过程中的结构和功能接线如何变化。使用最先进的HCP成像方法将使研究人员能够将我们当前对正常脑衰老的理解提高到新水平。我们提出了一项努力参与五个地点的财团（马萨诸塞州综合医院，加利福尼亚大学洛杉矶分校，明尼苏达大学，华盛顿大学圣路易斯大学和牛津大学），在人类脑成像和衰老方面具有广泛的补充专业知识，包括与原始成年和PILOT HCP HCP相关的许多研究人员。 MGH和Wu-Minn-Oxford HCP与衰老方面的尖端专业知识的进步的协同融合为促进了我们对人类大脑与衰老的正常变化的理解提供了前所未有的机会。 AIM 1将是优化现有的HCP寿命飞行员项目协议，以尊重在年龄范围内研究成年人（包括非常古老的年龄（80岁以上））的实用限制。 AIM 2将使用跨站点的匹配协议收集36至100岁以上年龄范围内的1200个人的高质量神经影像学，行为和其他数据集。这将实现对网络属性中与年龄相关的变化（包括连接性，网络完整性，任务期间响应属性的指标）的强大横截面分析。 AIM 3将是在三个理解且科学上有趣的群体中收集和分析300个个体的纵向数据：36-44岁（当晚期成熟和早期衰老过程可能同时发生时）；年龄在45-59岁时（临界时期，当快速变化会影响认知和大脑时）； 80-100岁以上（“非常老”，其大脑可能反映了“健康幸存者”状态）。与这些重要时期有关的信息将增强我们对诸如马all变化等重要现象如何影响大脑的理解，并将提供有关使认知完整功能进入高级衰老的因素的见解。 AIM 4将利用我们在人类Connectome项目（HCP）中共享数据的成功，并将使用这些已建立的工具，平台和程序来通过Connectome协调设施公开提供此数据。