Data were provided in part by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 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.<\/p>\n
Access to all data is subject to the WU-Minn HCP Consortium Open Access Data Use Terms.\u00a0<\/a><\/p>\n Please note from the above data use terms: “I will comply with all relevant rules and regulations imposed by my institution. This may mean that I need my research to be approved or declared exempt by a committee that oversees research on human subjects, e.g. my IRB or Ethics Committee.”<\/p>\n The use and dissemination at Vanderbilt of these de-identified data has been approved by the Vanderbilt Institutional Review Board as non-human human subjects research under protocol #180835 (approved use 25, 2018).<\/p>\n David C. Van Essen, Stephen M. Smith, Deanna M. Barch, Timothy E.J. Xu J, Moeller S, Strupp J, Auerbach E, Feinberg DA, Ugurbil K, and S.N. Sotiropoulos, S. Moeller, S. Jbabdi, J. Xu, J. L. Andersson, E. J. Matthew F. Glasser, Stamatios N. Sotiropoulos, J. Anthony Wilson, Jenkinson M, Beckmann CF, Behrens TE, Woolrich MW, and Smith SM. (2012). Fischl B. (2012). FreeSurfer. NeuroImage, 62:774-781.<\/p>\n Jenkinson M, Bannister PR, Brady JM, and Smith SM. (2002). Improved Andersson JL, Skare S, and Ashburner J. (2003). How to correct Andersson JL, Sotiropoulos SN (2015). Non-parametric representation and Andersson JL, Sotiropoulos SN (2015). An integrated approach to Acknowledgements Data were provided in part by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by … Continue reading Citations<\/h2>\n
\nBehrens, Essa Yacoub, Kamil Ugurbil, for the WU-Minn HCP Consortium.
\n(2013). The WU-Minn Human Connectome Project: An overview. NeuroImage
\n80(2013):62-79.<\/p>\n
\nYacoub E. (2012). Highly accelerated whole brain imaging using
\naligned-blipped-controlled-aliasing multiband EPI. Proc. Int. Soc. Mag.
\nReson. Med. 20:2306.<\/p>\n
\nAuerbach, E. Yacoub, D. Feinberg, K. Setsompop, L.L. Wald, T. E. J.
\nBehrens, K. Ugurbil, and C. Lenglet. (2013). Effects of Image
\nReconstruction on Fibre Orientation Mapping from Multichannel Diffusion
\nMRI: Reducing the Noise Floor Using SENSE. Magnetic Resonance in
\nMedicine 00:000\u2013000 (2013)<\/p>\n
\nTimothy S. Coalson, Bruce Fischl, Jesper L. Andersson, Junqian Xu, Saad
\nJbabdi, Matthew Webster, Jonathan R. Polimeni, David C. Van Essen, and
\nMark Jenkinson (2013).
\nThe minimal preprocessing pipelines for the Human Connectome Project.
\nNeuroimage 80: 105-124.<\/p>\n
\nFSL. NeuroImage, 62:782-790.<\/p>\n
\noptimisation for the robust and accurate linear registration and motion
\ncorrection of brain images. NeuroImage 17(2):825-841.<\/p>\n
\nsusceptibility distortions in spin-echo echo-planar images: application
\nto diffusion tensor imaging. NeuroImage. 20(2):870-888.<\/p>\n
\nprediction of single- and multi-shell diffusion-weighted MRI data using
\nGaussian processes. Neuroimage. 2015 Nov 15;122:166-76.<\/p>\n
\ncorrection for off-resonance effects and subject movement in diffusion
\nMR imaging. Neuroimage. 2015 Oct 16. pii: S1053-8119(15)00920-9.<\/p>\n","protected":false},"excerpt":{"rendered":"