title: The Human Connectome Project's neuroimaging approach.
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.
authors: Department of Neuroscience, Washington University Medical School, St. Louis, Missouri, USA.
authors: Matthew F
authors: MF
authors: Glasser
authors: FMRIB Centre, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK.
authors: Stephen M
authors: 0000-0001-8166-069X
authors: SM
authors: Smith
authors: Department of Radiology, Washington University Medical School, St. Louis, Missouri, USA.
authors: Daniel S
authors: DS
authors: Marcus
authors: FMRIB Centre, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK.
authors: Jesper L R
authors: JL
authors: Andersson
authors: Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
authors: Edward J
authors: EJ
authors: Auerbach
authors: FMRIB Centre, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK.
authors: Timothy E J
authors: TE
authors: Behrens
authors: Department of Neuroscience, Washington University Medical School, St. Louis, Missouri, USA.
authors: Timothy S
authors: TS
authors: Coalson
authors: Department of Psychiatry, Washington University Medical School, St. Louis, Missouri, USA.
authors: Michael P
authors: MP
authors: Harms
authors: FMRIB Centre, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK.
authors: Mark
authors: M
authors: Jenkinson
authors: Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
authors: Steen
authors: S
authors: Moeller
authors: Department of Computing, Imperial College London, London, UK.
authors: Emma C
authors: EC
authors: Robinson
authors: FMRIB Centre, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK.
authors: Stamatios N
authors: SN
authors: Sotiropoulos
authors: 7Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
authors: Junqian
authors: 0000-0001-8438-2066
authors: J
authors: Xu
authors: Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
authors: Essa
authors: E
authors: Yacoub
authors: Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
authors: Kamil
authors: K
authors: Ugurbil
authors: Department of Neuroscience, Washington University Medical School, St. Louis, Missouri, USA.
authors: David C
authors: DC
authors: Van Essen
mesh_terms: D001921:Brain / Q000000981:diagnostic imaging* / Q000502:physiology*; D063132:Connectome / Q000379:methods* / Q000639:trends; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods / Q000639:trends; D059906:Neuroimaging / Q000379:methods* / Q000639:trends