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

Journal article

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.

Authors: Marcus, D; Harms, M; Snyder, A; Jenkinson, M; Wilson, J

• Publication status: Published
• Journal: NeuroImage
• Volume: 80
• Pages: 202-219
• Publication date: 2013-10-01
• DOI: 10.1016/j.neuroimage.2013.05.077
• EISSN: 1095-9572
• ISSN: 1053-8119
• Language: English
• Keywords: Databases, Factual; Nerve Net; Quality Control; Connectome; Data Mining; Models, Anatomic; Brain; Humans; Information Storage and Retrieval; Models, Neurological; User-Computer Interface; Database Management Systems; Computational Biology; WU-Minn HCP Consortium