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The Human Connectome Project's neuroimaging approach

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


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

Junqian Xu

Essa Yacoub

Kamil Ugurbil

David C. Van Essen


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.


Glasser, M. F., Smith, S. M., Marcus, D. S., Andersson, J. L., Auerbach, E. J., Behrens, T. E., …Van Essen, D. C. (2016). The Human Connectome Project's neuroimaging approach. Nature Neuroscience, 19(9),

Journal Article Type Article
Acceptance Date Jul 18, 2016
Publication Date Aug 26, 2016
Deposit Date Apr 5, 2018
Publicly Available Date Apr 5, 2018
Journal Nature Neuroscience
Print ISSN 1097-6256
Electronic ISSN 1546-1726
Publisher Nature Publishing Group
Peer Reviewed Peer Reviewed
Volume 19
Issue 9
Keywords Language; Neural circuits; Sensory processing
Public URL
Publisher URL


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