TY - JOUR
T1 - The WU-Minn Human Connectome Project
T2 - An overview
AU - Van Essen, David C.
AU - Smith, Stephen M.
AU - Barch, Deanna M.
AU - Behrens, Timothy E.J.
AU - Yacoub, Essa
AU - Ugurbil, Kamil
N1 - Funding Information:
We thank the current and past members of the WU-Minn HCP consortium ( Supplemental Table S5 ) for their dedicated efforts on this project. We especially thank Matthew F. Glasser and Stam Sotiropoulos for their contributions to many of the analyses illustrated herein and Dr. Sandra Curtiss for overall project management as well as comments on the manuscript. The project was supported by an NIH grant 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 ; the Biotechnology Research Center (BTRC) P41 EB015894 from NIBIB , and the NINDS Institutional Center Core Grant P30 NS076408
Funding Information:
We thank the current and past members of the WU-Minn HCP consortium (Supplemental Table S5) for their dedicated efforts on this project. We especially thank Matthew F. Glasser and Stam Sotiropoulos for their contributions to many of the analyses illustrated herein and Dr. Sandra Curtiss for overall project management as well as comments on the manuscript. The project was supported by NIH grant 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 ; Biotechnology Research Center (BTRC) P41 EB015894 from NIBIB , and NINDS Institutional Center Core Grant P30 NS076408 .
PY - 2013/10/15
Y1 - 2013/10/15
N2 - The Human Connectome Project consortium led by Washington University, University of Minnesota, and Oxford University is undertaking a systematic effort to map macroscopic human brain circuits and their relationship to behavior in a large population of healthy adults. This overview article focuses on progress made during the first half of the 5-year project in refining the methods for data acquisition and analysis. Preliminary analyses based on a finalized set of acquisition and preprocessing protocols demonstrate the exceptionally high quality of the data from each modality. The first quarterly release of imaging and behavioral data via the ConnectomeDB database demonstrates the commitment to making HCP datasets freely accessible. Altogether, the progress to date provides grounds for optimism that the HCP datasets and associated methods and software will become increasingly valuable resources for characterizing human brain connectivity and function, their relationship to behavior, and their heritability and genetic underpinnings.
AB - The Human Connectome Project consortium led by Washington University, University of Minnesota, and Oxford University is undertaking a systematic effort to map macroscopic human brain circuits and their relationship to behavior in a large population of healthy adults. This overview article focuses on progress made during the first half of the 5-year project in refining the methods for data acquisition and analysis. Preliminary analyses based on a finalized set of acquisition and preprocessing protocols demonstrate the exceptionally high quality of the data from each modality. The first quarterly release of imaging and behavioral data via the ConnectomeDB database demonstrates the commitment to making HCP datasets freely accessible. Altogether, the progress to date provides grounds for optimism that the HCP datasets and associated methods and software will become increasingly valuable resources for characterizing human brain connectivity and function, their relationship to behavior, and their heritability and genetic underpinnings.
UR - http://www.scopus.com/inward/record.url?scp=84880326067&partnerID=8YFLogxK
U2 - 10.1016/j.neuroimage.2013.05.041
DO - 10.1016/j.neuroimage.2013.05.041
M3 - Article
C2 - 23684880
AN - SCOPUS:84880326067
SN - 1053-8119
VL - 80
SP - 62
EP - 79
JO - NeuroImage
JF - NeuroImage
ER -