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: 10160408
• 负责人: DAVID H SALAT
• 金额: $ 55万
• 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 2022-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10160408
• 关键词: Adult; Affect; Age; Aging; Behavior; Behavioral; Biological; Boston; Brain; Brain imaging; COVID-19; COVID-19 pandemic; California; Caring; Cognition; Cognitive; Cross-Sectional Studies; Data; Data Collection; Data Set; Diagnosis; Ethnic Origin; Future; General Hospitals; Health; Hormonal Change; Human; Individual; Longevity; Longitudinal Studies; Longitudinal Surveys; Los Angeles; Massachusetts; Measures; Medical; Minnesota; Nature; Participant; Perimenopause; Personal Satisfaction; Persons; Pilot Projects; Population; Procedures; Process; Property; Protocols documentation; Race; Research Design; Research Personnel; Resources; Scanning; Site; Socioeconomic Status; Stress Tests; Structure; Survivors; Time; Universities; Variant; Washington; advanced analytics; age group; age related; aging brain; behavior measurement; connectome; cost; data collection site; data sharing; follow-up; imaging approach; insight; multimodal data; neuroimaging; pandemic disease; recruit; response; sex; success; temporal measurement; tool; young adult

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.

作为人类的一部分，人脑成像技术和分析的主要进展 Connectome Project(HCP)可在以下位置检查大脑的结构和功能连接 空间和时间分辨率达到前所未有的水平。事实证明，这些信息对于增强 我们对年轻人大脑连通性的标准变异的理解。现在是时候使用这些工具和 HCP开发的分析方法来了解大脑的结构和功能连接是如何 老化过程中的变化。使用最先进的HCP成像方法将使调查人员能够 将我们目前对标准脑老化的有限理解推向新的水平。我们提出了一项努力，包括 由五个站点组成的联合体(马萨诸塞州总医院、加州大学洛杉矶分校、加州大学 明尼苏达大学、圣路易斯华盛顿大学和牛津大学)，具有广泛的互补性 在人脑成像和衰老方面的专业知识，包括许多与原始成人有关的研究人员 和试点寿命的HCP努力。这是MGH和吴-明-牛津进步的协同整合 在老龄化方面拥有尖端专业知识的HCP提供了一个前所未有的机会来推动我们的 了解人脑连通性随年龄增长的规范变化。目标1将是优化 现有的HCP寿命试验项目协议，以尊重在研究广泛年龄的成年人时的实际限制 范围，包括非常古老的(80岁以上)。目标2将收集高质量的神经成像、行为和 其他1200个年龄范围在36-100岁以上的人的数据集，使用跨站点的匹配方案。 这将支持对网络属性(包括指标)中与年龄相关的变化进行稳健的横断面分析 连接、网络完整性、任务期间的响应属性和行为。目标3将是收集和 分析300人子集的纵向数据，这些人来自三个未被研究和具有科学意义的人 年龄：36-44岁(成熟后期和衰老早期可能同时发生)；45-59岁 (围绝经期，荷尔蒙的快速变化会影响认知和大脑)；以及80-100岁以上( “非常老”，其大脑可能反映出“健康的幸存者”状态)。所获得的与此相关的信息 重要时期将加强我们对荷尔蒙变化等重要现象的理解 影响大脑，并将提供对因素的洞察，使认知完整的功能进入老年。 AIM 4将利用我们在人类连接组项目(HCP)中共享数据的成功，并将使用 这些已建立的工具、平台和程序可通过 Connectome协调设施。

项目成果

The Human Connectome Project: A retrospective.

• DOI: 10.1016/j.neuroimage.2021.118543
• 发表时间: 2021-12-01
• 期刊: NEUROIMAGE
• 影响因子: 5.7
• 作者: Elam, Jennifer Stine;Glasser, Matthew F.;Harms, Michael P.;Sotiropoulos, Stamatios N.;Andersson, Jesper L. R.;Burgess, Gregory C.;Curtiss, Sandra W.;Oostenveld, Robert;Larson-Prior, Linda J.;Schoffelen, Jan-Mathijs;Hodge, Michael R.;Cler, Eileen A.;Marcus, Daniel M.;Barch, Deanna M.;Yacoub, Essa;Smith, Stephen M.;Ugurbil, Kamil;Van Essen, David C.
• 通讯作者: Van Essen, David C.

The behavioral economics of social anxiety disorder reveal a robust effect for interpersonal traits.

社交焦虑症的行为经济学揭示了对人际关系特征的强大影响。

• DOI: 10.1016/j.brat.2017.06.003
• 发表时间: 2017
• 期刊: Behaviour research and therapy
• 影响因子: 4.1
• 作者: Rodebaugh,ThomasL;Tonge,NatashaA;Weisman,JaclynS;Lim,MichelleH;Fernandez,KatyaC;Bogdan,Ryan
• 通讯作者: Bogdan,Ryan

Hemodynamic latency is associated with reduced intelligence across the lifespan: an fMRI DCM study of aging, cerebrovascular integrity, and cognitive ability.

• DOI: 10.1007/s00429-020-02083-w
• 发表时间: 2020-07
• 期刊: BRAIN STRUCTURE & FUNCTION
• 影响因子: 3.1
• 作者: Anderson, Ariana E.;Diaz-Santos, Mirella;Frei, Spencer;Dang, Bianca H.;Kaur, Pashmeen;Lyden, Patrick;Buxton, Richard;Douglas, Pamela K.;Bilder, Robert M.;Esfandiari, Mahtash;Friston, Karl J.;Nookala, Usha;Bookheimer, Susan Y.
• 通讯作者: Bookheimer, Susan Y.

Rapid head-pose detection for automated slice prescription of fetal-brain MRI.

• DOI: 10.1002/ima.22563
• 发表时间: 2021-09
• 期刊: International journal of imaging systems and technology
• 影响因子: 3.3
• 作者: Hoffmann M;Turk EA;Gagoski B;Morgan L;Wighton P;Tisdall MD;Reuter M;Adalsteinsson E;Grant PE;Wald LL;van der Kouwe AJW
• 通讯作者: van der Kouwe AJW

Susceptibility-induced distortion that varies due to motion: Correction in diffusion MR without acquiring additional data.

• DOI: 10.1016/j.neuroimage.2017.12.040
• 发表时间: 2018-05-01
• 期刊: NeuroImage
• 影响因子: 5.7
• 作者: Andersson JLR;Graham MS;Drobnjak I;Zhang H;Campbell J
• 通讯作者: Campbell J