| Literature DB >> 25934470 |
Michael R Hodge1, William Horton2, Timothy Brown2, Rick Herrick2, Timothy Olsen3, Michael E Hileman2, Michael McKay2, Kevin A Archie2, Eileen Cler2, Michael P Harms4, Gregory C Burgess4, Matthew F Glasser5, Jennifer S Elam5, Sandra W Curtiss5, Deanna M Barch4, Robert Oostenveld6, Linda J Larson-Prior7, Kamil Ugurbil8, David C Van Essen5, Daniel S Marcus2.
Abstract
ConnectomeDB is a database for housing and disseminating data about human brain structure, function, and connectivity, along with associated behavioral and demographic data. It is the main archive and dissemination platform for data collected under the WU-Minn consortium Human Connectome Project. Additional connectome-style study data is and will be made available in the database under current and future projects, including the Connectome Coordination Facility. The database currently includes multiple modalities of magnetic resonance imaging (MRI) and magnetoencephalograpy (MEG) data along with associated behavioral data. MRI modalities include structural, task, resting state and diffusion. MEG modalities include resting state and task. Imaging data includes unprocessed, minimally preprocessed and analysis data. Imaging data and much of the behavioral data are publicly available, subject to acceptance of data use terms, while access to some sensitive behavioral data is restricted to qualified investigators under a more stringent set of terms. ConnectomeDB is the public side of the WU-Minn HCP database platform. As such, it is geared towards public distribution, with a web-based user interface designed to guide users to the optimal set of data for their needs and a robust backend mechanism based on the commercial Aspera fasp service to enable high speed downloads. HCP data is also available via direct shipment of hard drives and Amazon S3.Entities:
Keywords: Connectome Coordination Facility; Connectomics; Data sharing; Human Connectome Project; Neuroinformatics databases; Open access; XNAT
Mesh:
Year: 2015 PMID: 25934470 PMCID: PMC4626437 DOI: 10.1016/j.neuroimage.2015.04.046
Source DB: PubMed Journal: Neuroimage ISSN: 1053-8119 Impact factor: 6.556