The Human Connectome Project (HCP)

该提案旨在支持开发一种新的“Connectom”扩散成像系统， 采用先进的梯度技术（在先进的3 T仪器中设置300 mT/m梯度），并针对 从健康成年人中收集体内结构连接数据。安装后， 优化这个新的系统，我们将扫描正常的人类科目，包括一些科目 从其他HCP研究中心招募，并开始软件的初始开发以分析该数据， 比较、记录和传播所获得的结果与其他连接组学的结果 努力，包括其他HCP站点。这项工作将是HCP合作努力的组成部分， 构建一个人类连接体的图谱，代表体内的结构和功能连接 在大脑中和个体之间。因此，这项工作有很大的潜力， 通过积极优化非侵入性成像来测量人类连接组的能力 连接体测量技术。这一努力建立在现有的多学科 马萨诸塞州总医院/哈佛医学院（MGH）和马萨诸塞大学之间的合作 加州大学洛杉矶分校（UCLA），并采用了多个PI领导方法，提供了一个严格的系统 领导，组织和监督这个生物工程，优化和验证计划， 旨在提高扩散光谱成像（DSI）在活体人脑中绘制连通性的能力。

This proposal aims to support the development of a new "Connectom" diffusion imaging system, designed with advanced gradient technology (300 mT/m gradient set in an advanced 3T instrument), and optimized for the collection of in vivo structural connectivity data from healthy adult humans. Following installation and optimization of this novel system, we will scan normal human subjects, including a number of subjects recruited from the other HCP site, and begin initial development of software to analyze this data and compare, document and disseminate the results obtained against those developed by other connectomics efforts, including the other HCP site. This work will be integral part of the collaborative HCP effort to construct a map of the human connectome that represents the structural and functional connections in vivo within a brain and across individuals. As a result, this work has significant potential to dramatically advance capabilities to measure the human Connectome, by aggressively optimizing non-invasive imaging technology toward Connectome measurements. This effort builds upon existing multidisciplinary collaboration between Massachusetts General Hospital/Harvard Medical School (MGH) and the University of California-Los Angeles (UCLA), and employs a multiple PI leadership approach, providing a rigorous system of leadership, organization, and oversight to this program of bioengineering, optimization and validation that aims to improve the ability of Diffusion Spectrum Imaging (DSI) to map connectivity in the living human brain.