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

被引：296

作者：

Marcus, Daniel S. ^{[1
]}

Harms, Michael P. ^{[2
]}

Snyder, Abraham Z. ^{[1
]}

Jenkinson, Mark ^{[3
]}

Wilson, J. Anthony ^{[1
]}

Glasser, Matthew F. ^{[4
]}

Barch, Deanna M. ^{[2
]}

Archie, Kevin A. ^{[1
]}

Burgess, Gregory C. ^{[2
]}

Ramaratnam, Mohana ^{[5
]}

Hodge, Michael ^{[1
]}

Horton, William ^{[1
]}

Herrick, Rick ^{[1
]}

Olsen, Timothy ^{[6
]}

McKay, Michael ^{[1
]}

House, Matthew ^{[1
]}

Hileman, Michael ^{[1
]}

Reid, Erin ^{[4
]}

Harwell, John ^{[4
]}

Coalson, Timothy ^{[4
]}

Schindler, Jon ^{[4
]}

Elam, Jennifer S. ^{[4
]}

Curtiss, Sandra W. ^{[4
]}

Van Essen, David C. ^{[4
]}

机构：

[1] Washington Univ, Sch Med, Dept Radiol, St Louis, MO 63110 USA

[2] Washington Univ, Sch Med, Dept Psychiat, St Louis, MO 63110 USA

[3] Univ Oxford, John Radcliffe Hosp, Oxford Ctr Funct Magnet Resonance Imaging Brain, Oxford OX3 9DU, England

[4] Washington Univ, Sch Med, Dept Anat & Neurobiol, St Louis, MO 63110 USA

[5] NRG India, Pune, Maharashtra, India

[6] Deck5 Consulting, Normal, IL USA

来源：

NEUROIMAGE | 2013年 / 80卷

关键词：

FUNCTIONAL CONNECTIVITY; PHYSIOLOGICAL NOISE; 7; T; MRI; FMRI; BRAIN; VALIDATION; NETWORKS; IMPACT; MOTION;

D O I：

10.1016/j.neuroimage.2013.05.077

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

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. (C) 2013 Elsevier Inc. All rights reserved.

引用

页码：202 / 219

页数：18

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