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          Institute: Ernst Strüngmann Institute     Collection: Publikationen des Ernst Strüngmann Institutes     Display Documents



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ID: 633518.0, Ernst Strüngmann Institute / Publikationen des Ernst Strüngmann Institutes
The Human Connectome Project: A data acquisition perspective
Authors:Van Essen, D. C.; Ugurbil, K.; Auerbach, E.; Barch, D.; Behrens, T. E. J.; Bucholz, R.; Chang, A.; Chen, L.; Corbetta, M.; Curtiss, S. W.; Della Penna, S.; Feinberg, D.; Glasser, M. F.; Harel, N.; Heath, A. C.; Larson-Prior, L.; Marcus, D.; Michalareas, G.; Moeller, S.; Oostenveld, R.; Petersen, S. E.; Prior, F.; Schlaggar, B. L.; Smith, S. M.; Snyder, A. Z.; Xu, J.; Yacoub, E.
Language:English
Date of Publication (YYYY-MM-DD):2012
Title of Journal:NeuroImage
Volume:62
Issue / Number:4
Start Page:2222
End Page:2231
Review Status:not specified
Audience:Not Specified
Abstract / Description:The Human Connectome Project (HCP) is an ambitious 5-year effort to characterize brain connectivity and function and their variability in healthy adults. This review summarizes the data acquisition plans being implemented by a consortium of HCP investigators who will study a population of 1200 subjects (twins and their non-twin siblings) using multiple imaging modalities along with extensive behavioral and genetic data. The imaging modalities will include diffusion imaging (dMRI), resting-state fMRI (R-fMRI), task-evoked fMRI (T-fMRI), T1- and T2-weighted MRI for structural and myelin mapping, plus combined magnetoencephalography and electroencephalography (MEG/EEG). Given the importance of obtaining the best possible data quality, we discuss the efforts underway during the first two years of the grant (Phase I) to refine and optimize many aspects of HCP data acquisition, including a new 7T scanner, a customized 31 scanner, and improved MR pulse sequences. (C) 2012 Elsevier Inc. All rights reserved.
External Publication Status:published
Document Type:Article
Version Comment:Automatic journal name synchronization
Communicated by:N.N.
Affiliations:Ernst Strüngmann Institute
Identifiers:ISI:000308265200006 [ID No:1]
ISSN:1053-8119 [ID No:2]
DOI:10.1016/j.neuroimage.2012.02.018
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