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Nat Neurosci. 2016 Aug 26;19(9):1175-87. doi: 10.1038/nn.4361.

The Human Connectome Project's neuroimaging approach.

Author information

1
Department of Neuroscience, Washington University Medical School, St. Louis, Missouri, USA.
2
FMRIB Centre, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK.
3
Department of Radiology, Washington University Medical School, St. Louis, Missouri, USA.
4
Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
5
Department of Psychiatry, Washington University Medical School, St. Louis, Missouri, USA.
6
Department of Computing, Imperial College London, London, UK.
7
7Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

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.

PMID:
27571196
PMCID:
PMC6172654
DOI:
10.1038/nn.4361
[Indexed for MEDLINE]
Free PMC Article

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