Format

Send to

Choose Destination
Neuroimage. 2016 Jan 1;124(Pt B):1102-7. doi: 10.1016/j.neuroimage.2015.04.046. Epub 2015 Apr 29.

ConnectomeDB--Sharing human brain connectivity data.

Author information

1
Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA. Electronic address: hodgem@mir.wustl.edu.
2
Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
3
Deck5 Consulting, Normal, IL, USA.
4
Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
5
Department of Anatomy and Neurobiology, Washington University School of Medicine, St. Louis, MO, USA.
6
Radboud University Nijmegen, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.
7
Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA; Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.
8
Center for Magnetic Resonance Imaging, University of Minnesota, Minneapolis, MN, USA.

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.

KEYWORDS:

Connectome Coordination Facility; Connectomics; Data sharing; Human Connectome Project; Neuroinformatics databases; Open access; XNAT

PMID:
25934470
PMCID:
PMC4626437
DOI:
10.1016/j.neuroimage.2015.04.046
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Elsevier Science Icon for PubMed Central
Loading ...
Support Center