The Human Connectome Project's neuroimaging approach

Matthew F. Glasser; Stephen M. Smith; Daniel S. Marcus; Jesper L R Andersson; Edward J. Auerbach; Timothy E J Behrens; Timothy S. Coalson; Michael P. Harms; Mark Jenkinson; Steen Moeller; Emma C. Robinson; Stamatios N. Sotiropoulos; Junqian Xu; Essa Yacoub; Kamil Ugurbil; David C. Van Essen

doi:10.1038/nn.4361

The Human Connectome Project's neuroimaging approach

Matthew F. Glasser, Stephen M. Smith, Daniel S. Marcus, Jesper L R Andersson, Edward J. Auerbach, Timothy E J Behrens, Timothy S. Coalson, Michael P. Harms, Mark Jenkinson, Steen Moeller, Emma C. Robinson, Stamatios N. Sotiropoulos, Junqian Xu, Essa Yacoub, Kamil Ugurbil, David C. Van Essen

Radiology

Research output: Contribution to journal › Review article › peer-review

482 Scopus citations

Abstract

Noninvasive human neuroimaging has yielded many discoveries about the brain. Numerous methodological advances have also occurred, though inertia has slowed their adoption. This paper presents an integrated approach to data acquisition, analysis and sharing that builds upon recent advances, particularly from the Human Connectome Project (HCP). The 'HCP-style' paradigm has seven core tenets: (i) collect multimodal imaging data from many subjects; (ii) acquire data at high spatial and temporal resolution; (iii) preprocess data to minimize distortions, blurring and temporal artifacts; (iv) represent data using the natural geometry of cortical and subcortical structures; (v) accurately align corresponding brain areas across subjects and studies; (vi) analyze data using neurobiologically accurate brain parcellations; and (vii) share published data via user-friendly databases. We illustrate the HCP-style paradigm using existing HCP data sets and provide guidance for future research. Widespread adoption of this paradigm should accelerate progress in understanding the brain in health and disease.

Original language	English (US)
Pages (from-to)	1175-1187
Number of pages	13
Journal	Nature neuroscience
Volume	19
Issue number	9
DOIs	https://doi.org/10.1038/nn.4361
State	Published - Sep 1 2016

Bibliographical note

Funding Information:
Supported in part by the Human Connectome Project, WU-Minn-Ox Consortium (1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; the McDonnell Center for Systems Neuroscience at Washington University; and NIH F30 MH097312 (M.F.G.), RO1 MH-60974 (D.C.V.E.), P41 EB015894 (NIBIB; K.U.), Wellcome Trust 098369/Z/12/Z (S.M.S., J.L.R.A., T.E.J.B., M.J., E.C.R., S.N.S.), 5R01EB009352 (D.S.M.), 5P30NS048056 (D.S.M.) and 5R24MH108315 (D.S.M.).

Publisher Copyright:
© 2016 Nature America, Inc.

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http://eprints.nottingham.ac.uk/50950/1/GlasserNN.pdf

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Glasser, M. F., Smith, S. M., Marcus, D. S., Andersson, J. L. R., Auerbach, E. J., Behrens, T. E. J., Coalson, T. S., Harms, M. P., Jenkinson, M., Moeller, S., Robinson, E. C., Sotiropoulos, S. N., Xu, J., Yacoub, E., Ugurbil, K., & Van Essen, D. C. (2016). The Human Connectome Project's neuroimaging approach. Nature neuroscience, 19(9), 1175-1187. https://doi.org/10.1038/nn.4361

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abstract = "Noninvasive human neuroimaging has yielded many discoveries about the brain. Numerous methodological advances have also occurred, though inertia has slowed their adoption. This paper presents an integrated approach to data acquisition, analysis and sharing that builds upon recent advances, particularly from the Human Connectome Project (HCP). The 'HCP-style' paradigm has seven core tenets: (i) collect multimodal imaging data from many subjects; (ii) acquire data at high spatial and temporal resolution; (iii) preprocess data to minimize distortions, blurring and temporal artifacts; (iv) represent data using the natural geometry of cortical and subcortical structures; (v) accurately align corresponding brain areas across subjects and studies; (vi) analyze data using neurobiologically accurate brain parcellations; and (vii) share published data via user-friendly databases. We illustrate the HCP-style paradigm using existing HCP data sets and provide guidance for future research. Widespread adoption of this paradigm should accelerate progress in understanding the brain in health and disease.",

author = "Glasser, {Matthew F.} and Smith, {Stephen M.} and Marcus, {Daniel S.} and Andersson, {Jesper L R} and Auerbach, {Edward J.} and Behrens, {Timothy E J} and Coalson, {Timothy S.} and Harms, {Michael P.} and Mark Jenkinson and Steen Moeller and Robinson, {Emma C.} and Sotiropoulos, {Stamatios N.} and Junqian Xu and Essa Yacoub and Kamil Ugurbil and {Van Essen}, {David C.}",

note = "Funding Information: Supported in part by the Human Connectome Project, WU-Minn-Ox Consortium (1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; the McDonnell Center for Systems Neuroscience at Washington University; and NIH F30 MH097312 (M.F.G.), RO1 MH-60974 (D.C.V.E.), P41 EB015894 (NIBIB; K.U.), Wellcome Trust 098369/Z/12/Z (S.M.S., J.L.R.A., T.E.J.B., M.J., E.C.R., S.N.S.), 5R01EB009352 (D.S.M.), 5P30NS048056 (D.S.M.) and 5R24MH108315 (D.S.M.). Publisher Copyright: {\textcopyright} 2016 Nature America, Inc.",

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AU - Glasser, Matthew F.

AU - Smith, Stephen M.

AU - Marcus, Daniel S.

AU - Andersson, Jesper L R

AU - Auerbach, Edward J.

AU - Behrens, Timothy E J

AU - Coalson, Timothy S.

AU - Harms, Michael P.

AU - Jenkinson, Mark

AU - Moeller, Steen

AU - Robinson, Emma C.

AU - Sotiropoulos, Stamatios N.

AU - Xu, Junqian

AU - Yacoub, Essa

AU - Ugurbil, Kamil

AU - Van Essen, David C.

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The Human Connectome Project's neuroimaging approach

Abstract

Bibliographical note

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