Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/130266
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Type: Journal article
Title: Advances in diffusion MRI acquisition and processing in the Human Connectome Project
Author: Sotiropoulos, S.N.
Jbabdi, S.
Xu, J.
Andersson, J.L.
Moeller, S.
Auerbach, E.J.
Glasser, M.F.
Hernandez, M.
Sapiro, G.
Jenkinson, M.
Feinberg, D.A.
Yacoub, E.
Lenglet, C.
Van Essen, D.C.
Ugurbil, K.
Behrens, T.E.J.
Citation: NeuroImage, 2013; 80:125-143
Publisher: Elsevier
Issue Date: 2013
ISSN: 1053-8119
1095-9572
Statement of
Responsibility: 
Stamatios N.Sotiropoulos, Saad Jbabdi, Junqian Xu, Jesper L.Andersson, Steen Moeller ... Mark Jenkinson ... et al.
Abstract: The Human Connectome Project (HCP) is a collaborative 5-year effort to map human brain connections and their variability in healthy adults. A consortium of HCP investigators will study a population of 1200 healthy adults using multiple imaging modalities, along with extensive behavioral and genetic data. In this overview, we focus on diffusion MRI (dMRI) and the structural connectivity aspect of the project. We present recent advances in acquisition and processing that allow us to obtain very high-quality in-vivo MRI data, whilst enabling scanning of a very large number of subjects. These advances result from 2 years of intensive efforts in optimising many aspects of data acquisition and processing during the piloting phase of the project. The data quality and methods described here are representative of the datasets and processing pipelines that will be made freely available to the community at quarterly intervals, beginning in 2013.
Keywords: WU-Minn HCP Consortium
Brain
Nerve Net
Humans
Models, Neurological
Models, Anatomic
Diffusion Tensor Imaging
Connectome
Rights: © 2013 Elsevier Inc. All rights reserved.
DOI: 10.1016/j.neuroimage.2013.05.057
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