Connectome Coordination Facility

 描述（由申请人提供）：该项目将通过利用人类连接组项目（HCP）最近的成功建立连接组协调设施（CCF），该项目已获得，分析和共享大量健康成年人的多模态神经成像数据和行为数据。HCP的主要进展包括（i）建立跨多种模态产生高质量数据的数据采集协议;（ii）充分利用高质量数据的预处理管道的实施。 优质成像数据;和（iii）建立了一个强大的信息学基础设施，允许在神经成像和神经科学界广泛共享HCP数据。CCF将在这些成就的基础上，以三种方式为人类神经影像学界服务。一个目的是为研究团体提供咨询和支持服务，主要目的是协调图像采集协议与HCP的协议。这项工作将建立一个服务台，其支助职能将包括转移数据采集序列和图像重建算法;为这些序列和算法提供更新和改进;统一成像协议和对不同软件平台和版本的图像重建支持;以及就潜在问题（如图像伪影）提供咨询。第二个目标是提供服务，使国家合作框架提供者所获得的数据具有最大的可比性。这些服务将包括对贡献者的数据采集前指导，以确保每个项目的行为数据都是使用HCP兼容的方法获得的。这将需要与数据贡献者协调，以制定机制，简化从研究中心到CCF数据库的去识别数据的传输。每个研究的数据将包括未处理的图像、每个项目内部管道生成的最低预处理数据以及与项目行为电池相关的所有数据。将根据现有HCP方法实施手动和自动质量控制程序，以生成将与数据一起发布的质量指标。将运行一套标准化的管道，以便产生与国家合作框架数据库中的其他数据集完全统一的最低限度的预处理数据。第三个目标是维护现有的人类连接组数据的ConnectomeDB数据库基础设施，并将其扩展到包括来自其他研究实验室的连接组数据，这些实验室是根据与人类疾病相关的连接组RFA资助的U 01项目。该平台将按照HCP审查的政策和程序开发和运行，以确保CCF托管的数据的隐私和安全。这三个目标将共同建立CCF作为连接组学数据聚合和共享的中心枢纽。国家合作框架从数据获取到数据共享的一整套协调服务将确保各数据集之间达到前所未有的兼容性。由此产生的数据库将使科学界能够进行新的分析，以更好地了解健康和疾病中的大脑功能。

 DESCRIPTION (provided by applicant): This project will establish a Connectome Coordination Facility (CCF) by capitalizing on recent successes of the Human Connectome Project (HCP), which has acquired, analyzed, and shared multimodal neuroimaging data and behavioral data on a large population of healthy adults. Major advances by the HCP include (i) the establishment of data acquisition protocols that yield high quality data across multiple modalities; (ii) the implementation of preprocessing pipelines that take full advantage of the high quality imaging data; and (iii) the establishment of a robust informatics infrastructure that has allowed widespread sharing of the HCP data within the neuroimaging and neuroscience communities. The CCF will build on these accomplishments and serve the human neuroimaging community in three ways. One aim is to provide consultation and support services to the research community for the primary purpose of harmonizing image acquisition protocols with those of the HCP. The effort will establish a help desk whose support functions will include transfer of data acquisition sequences and image reconstruction algorithms; providing updates and improvements for these sequences and algorithms; harmonization of imaging protocols and image reconstruction support for different software platforms and versions; and consultation for potential problems (e.g. image artifacts). A second aim is to provide services that maximize comparability of data acquired by CCF contributors. These services will include pre-data acquisition guidance to contributors to ensure that each project's behavioral data are obtained using HCP-compatible methods. This will entail coordination with data contributors to develop mechanisms to streamline transfers of de-identified data from the study sites to the CCF database. The data from each study will include the unprocessed images, minimally preprocessed data generated by each project's internal pipelines, and all data associated with the project's behavioral battery. Manual and automated quality control procedures will be implemented based on existing HCP methods to generate quality metrics that will be published with the data. A standardized set of pipelines will be run in order to produce minimally preprocessed data that is fully harmonized with the other data sets in the CCF database. A third aim is to maintain the existing ConnectomeDB data repository infrastructure for Human Connectome Data and expand it to include Connectome data from other research laboratories that are funded as U01 projects under the Connectomes Related to Human Diseases RFA. The platform will be developed and operated following policies and procedures vetted by the HCP to ensure the privacy and security of the data hosted by the CCF. Together, these three aims will establish the CCF as a central hub for connectomics data aggregation and sharing. The CCF's suite of harmonization services from data acquisition through data sharing will ensure an unprecedented level of compatibility across data sets. The resulting database will enable the scientific community to conduct novel analyses to better understand brain function in health and disease.