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中文摘要
翻译
描述(由申请人提供):该项目将描述成人大脑回路,包括其可变性及其与行为和遗传学的关系。为了实现这一雄心勃勃的目标,由知名研究人员组成的一个基础广泛的多机构联盟将获得1200名健康成年人的尖端神经影像学数据,以及行为表现数据和用于基因分型的血液样本。研究对象的主要队列将是双胞胎和非双胞胎兄弟姐妹——这一策略能够对特定大脑回路的遗传性和遗传基础进行强有力的分析。将使用复杂的数据分析方法为每个人和人口平均值生成全面的连通性地图。这种人类连接组将通过连接和经典建筑方法定义的功能细分(包裹)来表达。来自这些地图的数据将揭示大脑网络组织的基本方面。一个强大的、用户友好的信息学平台将被实现,以促进这些丰富而复杂的数据集的管理、分析、可视化和共享。由于这些工具和数据集将对健康和疾病方面的神经科学研究产生直接和长期的影响,因此计划开展广泛的推广工作,以促进它们的广泛认识和使用。成像方式包括三种类型的磁共振成像:(i)使用HARDI方法绘制结构连通性的扩散成像;(ii)静息状态功能磁共振成像(R-fMRI)显示功能连接图;(iii)任务功能磁共振成像(T-fMRI),揭示与一系列广泛的行为任务相关的大脑激活模式。脑磁图(MEG)和脑电图(EEG)将用于表征与结构和功能连接图相关的神经活动的动态模式。成像将受益于为该项目开发的定制3T扫描仪(最终安装在华盛顿大学)、明尼苏达大学的新型7T扫描仪,以及将在项目优化阶段实施的改进的脉冲序列和定制线圈。通过在3T扫描所有受试者,在7T扫描子集,并使用MEG,将利用每种成像方式的互补优势,最大限度地发挥数据收集和分析策略的整体影响。联盟成员对数据采集和分析策略的最新进展做出了巨大贡献,使人类连接组项目在技术上可行。在项目优化阶段预期的主要额外进展将导致在生产阶段获得前所未有的结构和功能连接图的保真度。
英文摘要
DESCRIPTION (provided by applicant): This project will characterize adult human brain circuitry, including its variability and its relation to behavior and genetics. To achieve this ambitious objective, a broad-based multi-institutional consortium of distinguished investigators will acquire cutting-edge neuroimaging data in 1,200 healthy adult humans along with behavioral performance data and blood samples for genotyping. The main cohort of subjects will be twins plus non-twin siblings - a strategy that enables powerful analyses of heritability and genetic underpinnings of specific brain circuits. Comprehensive connectivity maps will be generated for each individual and for population averages using sophisticated data analysis methods. This human connectome will be expressed relative to functional subdivisions (parcels) defined by connectivity and by classical architectonic methods. Data from these maps will reveal fundamental aspects of brain network organization. A powerful, user-friendly informatics platform will be implemented to facilitate the management, analysis, visualization, and sharing of these rich and complex datasets. Because these tools and datasets will have Immediate and long range potential to influence neuroscience research in health and disease, extensive outreach efforts are planned for promoting their widespread awareness and usage. The imaging modalities include three types of magnetic resonance imaging: (i) diffusion imaging using HARDI methods to map structural connectivity; (ii) resting-state fMRI (R-fMRI) to reveal maps of functional connectivity; (iii) task-fMRI (T-fMRI) to reveal brain activation patterns associated with a broad set of behavioral tasks. Magneto-encephalography (MEG) and also EEG will be used to characterize dynamic patterns of neural activity that can be related to structural and functional connectivity maps. Imaging will benefit from a customized 3T scanner developed for this project and ultimately installed at Washington University, a new 7T scanner at the University of Minnesota, and improved pulse sequences and custom coils to be implemented during the project's optimization phase. By scanning all subjects at 3T and subsets at 7T and with MEG, the complementary strengths of each imaging modality will be utilized and the overall impact of the data collection and analysis strategy will be maximized. Consortium members have contributed greatly to the recent progress in data acquisition and analysis strategies that make the Human Connectome Project technically feasible. Major additional advances anticipated during the project's optimization phase will lead to unprecedented fidelity of the structural and functional connectivity maps to be obtained during the production phase.
期刊论文(605)
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会议论文
DOI: 10.1098/rsos.180857
发表时间: 2019-07-26
期刊: ROYAL SOCIETY OPEN SCIENCE
影响因子: 3.5
作者: [Meyer, Kristina, Garzon, Benjamin, Hildebrandt, Andrea]
通讯作者: Hildebrandt, Andrea
Long-range medical image registration through generalized mutual information (GMI): towards a fully automatic volumetric alignment.
通过广义互信息 (GMI) 进行远程医学图像配准:实现全自动体积对齐。
DOI: 10.1088/1361-6560/ac5298
发表时间: 2022
期刊: Physics in medicine and biology
影响因子: 3.5
作者: [Vianna,ViniciusPavanelli, Murta,LuizOtavio]
通讯作者: Murta,LuizOtavio
DOI: 10.1093/brain/awx309
发表时间: 2018-01-01
期刊: Brain : a journal of neurology
影响因子: --
作者: [De Simoni S, Jenkins PO, Bourke NJ, Fleminger JJ, Hellyer PJ, Jolly AE, Patel MC, Cole JH, Leech R, Sharp DJ]
通讯作者: Sharp DJ
Consistent Estimation of Dimensionality for Data-Driven Methods in fMRI Analysis.
fMRI 分析中数据驱动方法的维数一致估计。
DOI: 10.1109/tmi.2018.2866640
发表时间: 2019
期刊: IEEE transactions on medical imaging
影响因子: 10.6
作者: [Seghouane,Abd-Krim, Shokouhi,Navid]
通讯作者: Shokouhi,Navid
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    TRD1 - Multimodal Imaging for Spanning Multiple Spatial Scales in the Brain
    • 批准号:
      10376732
    • 项目类别:
    • 资助金额:
      $27.74万
    • 财政年份:
      2019
    • 负责人:
      KAMIL UGURBIL
    • 依托单位:
    TRD1 - Multimodal Imaging for Spanning Multiple Spatial Scales in the Brain
    • 批准号:
      10549852
    • 项目类别:
    • 资助金额:
      $26.35万
    • 财政年份:
      2019
    • 负责人:
      KAMIL UGURBIL
    • 依托单位:
    Administrative Core
    • 批准号:
      10376731
    • 项目类别:
    • 资助金额:
      $10.68万
    • 财政年份:
      2019
    • 负责人:
      KAMIL UGURBIL
    • 依托单位:
    Administrative Core
    • 批准号:
      10549851
    • 项目类别:
    • 资助金额:
      $10.68万
    • 财政年份:
      2019
    • 负责人:
      KAMIL UGURBIL
    • 依托单位:
    海外基金