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ConnectomeDB—Sharing human brain connectivity data.

Authors :
Hodge, Michael R.
Horton, William
Brown, Timothy
Herrick, Rick
Olsen, Timothy
Hileman, Michael E.
McKay, Michael
Archie, Kevin A.
Cler, Eileen
Harms, Michael P.
Burgess, Gregory C.
Glasser, Matthew F.
Elam, Jennifer S.
Curtiss, Sandra W.
Barch, Deanna M.
Oostenveld, Robert
Larson-Prior, Linda J.
Ugurbil, Kamil
Van Essen, David C.
Marcus, Daniel S.
Source :
NeuroImage. Jan2016 Part B, Vol. 124, p1102-1107. 6p.
Publication Year :
2016

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10538119
Volume :
124
Database :
Academic Search Index
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
110944734
Full Text :
https://doi.org/10.1016/j.neuroimage.2015.04.046