@article{9b42e48f39b14f7ca4cfb8752119c6bb,
title = "Human Connectome Project informatics: Quality control, database services, and data visualization",
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.",
author = "Marcus, {Daniel S.} and Harms, {Michael P.} and Snyder, {Abraham Z.} and Mark Jenkinson and Wilson, {J. Anthony} and Glasser, {Matthew F.} and Barch, {Deanna M.} and Archie, {Kevin A.} and Burgess, {Gregory C.} and Mohana Ramaratnam and Michael Hodge and William Horton and Rick Herrick and Timothy Olsen and Michael McKay and Matthew House and Michael Hileman and Erin Reid and John Harwell and Timothy Coalson and Jon Schindler and Elam, {Jennifer S.} and Curtiss, {Sandra W.} and {Van Essen}, {David C.}",
note = "Funding Information: The authors would like to acknowledge the contributions of the many investigators and staff on the WU-Minn Human Connectome Project and the participants who have made it possible. This work was supported in part by the NIH through the following grants: NIH 1U54MH091657 , funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University ; NIH: U54 MH091657 , U24 GM104203 , and R01 EB009352 . ",
year = "2013",
month = oct,
day = "15",
doi = "10.1016/j.neuroimage.2013.05.077",
language = "English",
volume = "80",
pages = "202--219",
journal = "NeuroImage",
issn = "1053-8119",
}