The Human Connectome Project: A data acquisition perspective
The Human Connectome Project (HCP) is an ambitious 5-year effort to characterize brain connectivity and function and their variability in healthy adults. This review summarizes the data acquisition plans being implemented by a consortium of HCP investigators who will study a population of 1200 subje...
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| Published in | NeuroImage (Orlando, Fla.) Vol. 62; no. 4; pp. 2222 - 2231 |
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| Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Elsevier Inc
01.10.2012
Elsevier Limited |
| Subjects | |
| Online Access | Get full text |
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| Abstract | The Human Connectome Project (HCP) is an ambitious 5-year effort to characterize brain connectivity and function and their variability in healthy adults. This review summarizes the data acquisition plans being implemented by a consortium of HCP investigators who will study a population of 1200 subjects (twins and their non-twin siblings) using multiple imaging modalities along with extensive behavioral and genetic data. The imaging modalities will include diffusion imaging (dMRI), resting-state fMRI (R-fMRI), task-evoked fMRI (T-fMRI), T1- and T2-weighted MRI for structural and myelin mapping, plus combined magnetoencephalography and electroencephalography (MEG/EEG). Given the importance of obtaining the best possible data quality, we discuss the efforts underway during the first two years of the grant (Phase I) to refine and optimize many aspects of HCP data acquisition, including a new 7T scanner, a customized 3T scanner, and improved MR pulse sequences. |
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| AbstractList | The Human Connectome Project (HCP) is an ambitious 5-year effort to characterize brain connectivity and function and their variability in healthy adults. This review summarizes the data acquisition plans being implemented by a consortium of HCP investigators who will study a population of 1200 subjects (twins and their non-twin siblings) using multiple imaging modalities along with extensive behavioral and genetic data. The imaging modalities will include diffusion imaging (dMRI), resting-state fMRI (R-fMRI), task-evoked fMRI (T-fMRI), T1- and T2-weighted MRI for structural and myelin mapping, plus combined magnetoencephalography and electroencephalography (MEG/EEG). Given the importance of obtaining the best possible data quality, we discuss the efforts underway during the first two years of the grant (Phase I) to refine and optimize many aspects of HCP data acquisition, including a new 7T scanner, a customized 3T scanner, and improved MR pulse sequences. The Human Connectome Project (HCP) is an ambitious 5-year effort to characterize brain connectivity and function and their variability in healthy adults. This review summarizes the data acquisition plans being implemented by a consortium of HCP investigators who will study a population of 1200 subjects (twins and their non-twin siblings) using multiple imaging modalities along with extensive behavioral and genetic data. The imaging modalities will include diffusion imaging (dMRI), resting-state fMRI (R-fMRI), task-evoked fMRI (T-fMRI), T1- and T2-weighted MRI for structural and myelin mapping, plus combined magnetoencephalography and electroencephalography (MEG/EEG). Given the importance of obtaining the best possible data quality, we discuss the efforts underway during the first two years of the grant (Phase I) to refine and optimize many aspects of HCP data acquisition, including a new 7T scanner, a customized 3T scanner, and improved MR pulse sequences.The Human Connectome Project (HCP) is an ambitious 5-year effort to characterize brain connectivity and function and their variability in healthy adults. This review summarizes the data acquisition plans being implemented by a consortium of HCP investigators who will study a population of 1200 subjects (twins and their non-twin siblings) using multiple imaging modalities along with extensive behavioral and genetic data. The imaging modalities will include diffusion imaging (dMRI), resting-state fMRI (R-fMRI), task-evoked fMRI (T-fMRI), T1- and T2-weighted MRI for structural and myelin mapping, plus combined magnetoencephalography and electroencephalography (MEG/EEG). Given the importance of obtaining the best possible data quality, we discuss the efforts underway during the first two years of the grant (Phase I) to refine and optimize many aspects of HCP data acquisition, including a new 7T scanner, a customized 3T scanner, and improved MR pulse sequences. |
| Author | Harel, N. Della Penna, S. Marcus, D. Van Essen, D.C. Petersen, S.E. Larson-Prior, L. Moeller, S. Barch, D. Oostenveld, R. Ugurbil, K. Bucholz, R. Corbetta, M. Smith, S.M. Xu, J. Michalareas, G. Prior, F. Yacoub, E. Schlaggar, B.L. Chang, A. Glasser, M.F. Auerbach, E. Heath, A.C. Curtiss, S.W. Snyder, A.Z. Behrens, T.E.J. Chen, L. Feinberg, D. |
| AuthorAffiliation | g Department of Neuroscience and Imaging and Institute for Advanced Biomedical Technologies, University G. D'Annunzio, Chieti, Italy m Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, The Netherlands d Centre for Functional MRI of the Brain (FMRIB), Oxford University, Oxford, UK f Department of Neurology, Washington University, St. Louis, MO, USA c Department of Psychology, Washington University, St. Louis, MO, USA a Department of Anatomy & Neurobiology, Washington University, St. Louis, MO, USA e Department of Neurosurgery, St. Louis University, St. Louis, MO, USA i University of California, Berkeley, CA, USA j Department of Psychiatry, Washington University, St. Louis, MO, USA l Ernst Strüngmann Institute (ESI) in Cooperation with Max Planck Society, Frankfurt, Germany h Advanced MRI Technologies, Sebastopol, CA, USA k Department of Radiology, Washington University, St. Louis, MO, USA b Center for Magnetic Resonance Research, University of Minnesota, Minneapolis |
| AuthorAffiliation_xml | – name: e Department of Neurosurgery, St. Louis University, St. Louis, MO, USA – name: i University of California, Berkeley, CA, USA – name: a Department of Anatomy & Neurobiology, Washington University, St. Louis, MO, USA – name: m Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, The Netherlands – name: l Ernst Strüngmann Institute (ESI) in Cooperation with Max Planck Society, Frankfurt, Germany – name: h Advanced MRI Technologies, Sebastopol, CA, USA – name: k Department of Radiology, Washington University, St. Louis, MO, USA – name: f Department of Neurology, Washington University, St. Louis, MO, USA – name: b Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA – name: c Department of Psychology, Washington University, St. Louis, MO, USA – name: g Department of Neuroscience and Imaging and Institute for Advanced Biomedical Technologies, University G. D'Annunzio, Chieti, Italy – name: d Centre for Functional MRI of the Brain (FMRIB), Oxford University, Oxford, UK – name: j Department of Psychiatry, Washington University, St. Louis, MO, USA |
| Author_xml | – sequence: 1 givenname: D.C. surname: Van Essen fullname: Van Essen, D.C. email: vanessen@wustl.edu organization: Department of Anatomy & Neurobiology, Washington University, St. Louis, MO, USA – sequence: 2 givenname: K. surname: Ugurbil fullname: Ugurbil, K. organization: Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA – sequence: 3 givenname: E. surname: Auerbach fullname: Auerbach, E. organization: Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA – sequence: 4 givenname: D. surname: Barch fullname: Barch, D. organization: Department of Psychology, Washington University, St. Louis, MO, USA – sequence: 5 givenname: T.E.J. surname: Behrens fullname: Behrens, T.E.J. organization: Centre for Functional MRI of the Brain (FMRIB), Oxford University, Oxford, UK – sequence: 6 givenname: R. surname: Bucholz fullname: Bucholz, R. organization: Department of Neurosurgery, St. Louis University, St. Louis, MO, USA – sequence: 7 givenname: A. surname: Chang fullname: Chang, A. organization: Advanced MRI Technologies, Sebastopol, CA, USA – sequence: 8 givenname: L. surname: Chen fullname: Chen, L. organization: Advanced MRI Technologies, Sebastopol, CA, USA – sequence: 9 givenname: M. surname: Corbetta fullname: Corbetta, M. organization: Department of Neurology, Washington University, St. Louis, MO, USA – sequence: 10 givenname: S.W. surname: Curtiss fullname: Curtiss, S.W. organization: Department of Anatomy & Neurobiology, Washington University, St. Louis, MO, USA – sequence: 11 givenname: S. surname: Della Penna fullname: Della Penna, S. organization: Department of Neuroscience and Imaging and Institute for Advanced Biomedical Technologies, University G. D'Annunzio, Chieti, Italy – sequence: 12 givenname: D. surname: Feinberg fullname: Feinberg, D. organization: Advanced MRI Technologies, Sebastopol, CA, USA – sequence: 13 givenname: M.F. surname: Glasser fullname: Glasser, M.F. organization: Department of Anatomy & Neurobiology, Washington University, St. Louis, MO, USA – sequence: 14 givenname: N. surname: Harel fullname: Harel, N. organization: Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA – sequence: 15 givenname: A.C. surname: Heath fullname: Heath, A.C. organization: Department of Psychiatry, Washington University, St. Louis, MO, USA – sequence: 16 givenname: L. surname: Larson-Prior fullname: Larson-Prior, L. organization: Department of Radiology, Washington University, St. Louis, MO, USA – sequence: 17 givenname: D. surname: Marcus fullname: Marcus, D. organization: Department of Radiology, Washington University, St. Louis, MO, USA – sequence: 18 givenname: G. surname: Michalareas fullname: Michalareas, G. organization: Ernst Strüngmann Institute (ESI) in Cooperation with Max Planck Society, Frankfurt, Germany – sequence: 19 givenname: S. surname: Moeller fullname: Moeller, S. organization: Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA – sequence: 20 givenname: R. surname: Oostenveld fullname: Oostenveld, R. organization: Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, The Netherlands – sequence: 21 givenname: S.E. surname: Petersen fullname: Petersen, S.E. organization: Department of Neurology, Washington University, St. Louis, MO, USA – sequence: 22 givenname: F. surname: Prior fullname: Prior, F. organization: Department of Radiology, Washington University, St. Louis, MO, USA – sequence: 23 givenname: B.L. surname: Schlaggar fullname: Schlaggar, B.L. organization: Department of Neurology, Washington University, St. Louis, MO, USA – sequence: 24 givenname: S.M. surname: Smith fullname: Smith, S.M. organization: Centre for Functional MRI of the Brain (FMRIB), Oxford University, Oxford, UK – sequence: 25 givenname: A.Z. surname: Snyder fullname: Snyder, A.Z. organization: Department of Radiology, Washington University, St. Louis, MO, USA – sequence: 26 givenname: J. surname: Xu fullname: Xu, J. organization: Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA – sequence: 27 givenname: E. surname: Yacoub fullname: Yacoub, E. organization: Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/22366334$$D View this record in MEDLINE/PubMed |
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| SubjectTerms | Aging Behavior Brain - anatomy & histology Brain - physiology Brain mapping Brain Mapping - methods Brain research Connectivity Connectome - methods Data mining Diffusion imaging fMRI Grants Humans Medical imaging MEG/EEG Neurosciences Scanners Studies Twins |
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| Title | The Human Connectome Project: A data acquisition perspective |
| URI | https://www.clinicalkey.com/#!/content/1-s2.0-S1053811912001954 https://dx.doi.org/10.1016/j.neuroimage.2012.02.018 https://www.ncbi.nlm.nih.gov/pubmed/22366334 https://www.proquest.com/docview/1506879410 https://www.proquest.com/docview/1034517862 https://www.proquest.com/docview/1038606064 https://pubmed.ncbi.nlm.nih.gov/PMC3606888 |
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