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Neuroimage. 2013 Oct 15;80:202-19. doi: 10.1016/j.neuroimage.2013.05.077. Epub 2013 May 24.

Human Connectome Project informatics: quality control, database services, and data visualization.

Author information

1
Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA. dmarcus@wustl.edu

Abstract

The Human Connectome Project (HCP) has developed protocols, standard operating and quality control procedures, and a suite of informatics tools to enable high throughput data collection, data sharing, automated data processing and analysis, and data mining and visualization. Quality control procedures include methods to maintain data collection consistency over time, to measure head motion, and to establish quantitative modality-specific overall quality assessments. Database services developed as customizations of the XNAT imaging informatics platform support both internal daily operations and open access data sharing. The Connectome Workbench visualization environment enables user interaction with HCP data and is increasingly integrated with the HCP's database services. Here we describe the current state of these procedures and tools and their application in the ongoing HCP study.

PMID:
23707591
PMCID:
PMC3845379
DOI:
10.1016/j.neuroimage.2013.05.077
[Indexed for MEDLINE]
Free PMC Article

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