MGH–USC Human Connectome Project datasets with ultra-high b-value diffusion MRI
MGH–USC Human Connectome Project datasets with ultra-high b-value diffusion MRI
About this item
Full title
Author / Creator
Fan, Qiuyun , Witzel, Thomas , Nummenmaa, Aapo , Van Dijk, Koene R.A. , Van Horn, John D. , Drews, Michelle K. , Somerville, Leah H. , Sheridan, Margaret A. , Santillana, Rosario M. , Snyder, Jenna , Hedden, Trey , Shaw, Emily E. , Hollinshead, Marisa O. , Renvall, Ville , Zanzonico, Roberta , Keil, Boris , Cauley, Stephen , Polimeni, Jonathan R. , Tisdall, Dylan , Buckner, Randy L. , Wedeen, Van J. , Wald, Lawrence L. , Toga, Arthur W. and Rosen, Bruce R.
Publisher
United States: Elsevier Inc
Journal title
Language
English
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Publication information
Publisher
United States: Elsevier Inc
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More information
Scope and Contents
Contents
The MGH–USC CONNECTOM MRI scanner housed at the Massachusetts General Hospital (MGH) is a major hardware innovation of the Human Connectome Project (HCP). The 3T CONNECTOM scanner is capable of producing a magnetic field gradient of up to 300mT/m strength for in vivo human brain imaging, which greatly shortens the time spent on diffusion encoding,...
Alternative Titles
Full title
MGH–USC Human Connectome Project datasets with ultra-high b-value diffusion MRI
Authors, Artists and Contributors
Author / Creator
Witzel, Thomas
Nummenmaa, Aapo
Van Dijk, Koene R.A.
Van Horn, John D.
Drews, Michelle K.
Somerville, Leah H.
Sheridan, Margaret A.
Santillana, Rosario M.
Snyder, Jenna
Hedden, Trey
Shaw, Emily E.
Hollinshead, Marisa O.
Renvall, Ville
Zanzonico, Roberta
Keil, Boris
Cauley, Stephen
Polimeni, Jonathan R.
Tisdall, Dylan
Buckner, Randy L.
Wedeen, Van J.
Wald, Lawrence L.
Toga, Arthur W.
Rosen, Bruce R.
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4651764
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4651764
Other Identifiers
ISSN
1053-8119,1095-9572
E-ISSN
1095-9572
DOI
10.1016/j.neuroimage.2015.08.075
