The WU-Minn Human Connectome Project: An overview

NeuroImage

Volumn 80, Issue , 2013, Pages 62-79

  Van Essen, David C ^a   Smith, Stephen M ^b   Barch, Deanna M ^c   Behrens, Timothy E J ^b   Yacoub, Essa ^d   Ugurbil, Kamil ^d  

^a WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c WASHINGTON UNIVERSITY   (United States)

^d UNIVERSITY OF MINNESOTA MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BEHAVIOR; BIOMEDICINE; BRAIN FUNCTION; CLINICAL PROTOCOL; COMPUTER PROGRAM; CONNECTOME DATABASE; DATA BASE; HERITABILITY; HUMAN; HUMAN CONNECTOME PROJECT; HUMAN EXPERIMENT; HUMAN GENETICS; INFORMATION PROCESSING; NEUROANATOMY; NEUROIMAGING; NORMAL HUMAN; POPULATION SIZE; PRIORITY JOURNAL; QUALITY CONTROL; UNITED STATES; UNIVERSITY;

BRAIN; CONNECTOME; HUMANS; MODELS, ANATOMIC; MODELS, NEUROLOGICAL; NERVE NET;

EID: 84880326067     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.05.041     Document Type: Article

References (68)

1. Andersson J.L.R., Xu J., Yacoub E., Auerbach E., Moeller S., Ugurbil K. A comprehensive Gaussian process framework for correcting distortions and movements in diffusion images. INSERM Annual Meeting, Melbourne, Australia, May 2012.
2. Andrews-Hanna J.R., Reidler J.S., Sepulcre J., Poulin R., Buckner R.L. Functional-anatomic fractionation of the brain's default network. Neuron 2010, 65:550-562.
3. Azevedo F.A., Carvalho L.R., Grinberg L.T., Farfel J.M., Ferretti R.E., Leite R.E., Jacob Filho W., Lent R., Herculano-Houzel S. Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain. J. Comp. Neurol. 2009, 513:532-541.
4. Barch D.M., Burgess G.C., Harms M.P., Petersen S.E., Schlaggar B.L., Corbetta M., Glasser M.F., Curtiss S., Dixit S., Feldt C., Nolan D., Bryant E., Hartley T., Footer O., Bjork J.M., Poldrack R., Smith S., Johansen-Berg H., Snyder A.Z., Van Essen D.C. Function in the human connectome: task-fMRI and individual differences in behavior. Neuroimage 2013, 80:169-189. for the WU-Minn HCP Consortium.
5. Beckmann C.F., Smith S.M. Probabilistic independent component analysis for functional magnetic resonance imaging. IEEE Trans. Med. Imaging 2004, 23:137-152.
6. Behrens T.E., Berg H.J., Jbabdi S., Rushworth M.F., Woolrich M.W. Probabilistic diffusion tractography with multiple fibre orientations: what can we gain?. NeuroImage 2007, 34:144-155.
7. Binder J.R., Gross W.L., Allendorfer J.B., Bonilha L., Chapin J., Edwards J.C., Grabowski T.J., Langfitt J.T., Loring D.W., Lowe M.J., Koenig K., Morgan P.S., Ojemann J.G., Rorden C., Szaflarski J.P., Tivarus M.E., Weaver K.E. Mapping anterior temporal lobe language areas with fMRI: a multicenter normative study. NeuroImage 2011, 54:1465-1475.
8. Blumensath T., Jbabdi S., Glasser M.F., Van Essen D.C., Ugurbil K., Behrens T.E., Smith S.M. Spatially constrained hierarchical parcellation of the brain with resting-state fMRI. Neuroimage 2013, 76:313-324.
9. Botteron K.N., Dierker D., Todd R., Alexopolous J., Seung D., Han K., Nishino T., Reid E., Todorov A., Van Essen D.C. Human vs. computer algorithm choices in identifying identical twin pairs based on cortical shape characteristics - who's better?. Org Human Brain Mapping Abstract #533 2008.
10. Brookes M.J., Hale J.R., Zumer J.M., Stevenson C.M., Francis S.T., Barnes G.R., Owen J.P., Morris P.G., Nagarajan S.S. Measuring functional connectivity using MEG: methodology and comparison with fcMRI. NeuroImage 2011, 56:1082-1104.
11. Bucholz K.K., Cadoret R., Cloninger C.R., Dinwiddie S.H., Hesselbrock V.M., Nurnberger J.I., Reich T., Schmidt I., Schuckit M.A. A new, semistructuredpsychiatric interview for use in genetic linkage studies: a report onthe reliability of the SSAGA. J. Stud. Alcohol 1994, 55:149-158.
12. Buckner R.L., Krienen F.M., Castellanos A., Diaz J.C., Yeo B.T. The organization of the human cerebellum estimated by intrinsic functional connectivity. J. Neurophysiol. 2011, 106:2322-2345.
13. Cohen A.L., Fair D.A., Dosenbach N.U.F., Miezin F.M., Dierker D., Van Essen D.C., Schlaggar B.L., Petersen S.E. Defining functional areas in individual human brains using resting functional connectivity MRI. NeuroImage 2008, 41:45-57.
14. Craddock R.C., Jbabdi S., Yan C.G., Vogelstein J., Castellanos F.X., Di Martino A., Kelly C., Heberlein K., Colcombe S., Milham M.P. Imaging human connectomes at the macroscale. Nat. Methods 2013, (in press).
15. de Pasquale F., Della Penna S., Snyder A.Z., Lewis C., Mantini D., Marzetti L., Belardinelli P., Ciancetta L., Pizzella V., Romani G.L., Corbetta M. Temporal dynamics of spontaneous MEG activity in brain networks. Proc. Natl. Acad. Sci. U.S.A. 2010, 107:6040-6045.
16. de Pasquale F., Della Penna S., Snyder A.Z., Marzetti L., Pizzella V., Romani G.L., Corbetta M. A cortical core for dynamic integration of functional networks in the resting human brain. Neuron 2012, 74:753-764.
17. Escudero J., Hornero R., Abasolo D., Fernandez A., Lopez-Coronado M. Artifact removal in magnetoencephalogram background activity with independent component analysis. Biomedical Engineering, IEEE Transactions on 2007, 54:1965-1973.
18. Feinberg D.A., Moeller S., Smith S.M., Auerbach E., Ramanna S., Glasser M.F., Miller K.L., Ugurbil K., Yacoub E. Multiplexed echo planar imaging for sub-second whole brain FMRI and fast diffusion imaging. PLoS One 2010, 5:e15710.
19. Fischl B., Sereno M., Tootell R., Dale A. High-resolution intersubject averaging and a coordinate system for the cortical surface. Hum. Brain Mapp. 1999, 8:272-284.
20. Glasser M., Van Essen D.C. Mapping human cortical areas in vivo based on myelin content as revealed by T1 and T2-weighted MRI. J. Neurosci. 2011, 31:11597-11616.
21. Glasser M.F., Goyal M.S., Preuss T.M., Raichle M.E., Van Essen D.C. Trends and properties of human cerebral cortex: correlations with cortical myelin content. NeuroImage 2013, (Special issue on In Vivo Brodmann Mapping, Epub ahead of print). 10.1016/n.neuroimage.2013.03.060.
22. Glasser M.F., Sotiropoulos S.N., Wilson J.A., Coalson T.S., Fischl B., Andersson J.L., Xu J., Jbabdi S., Webster M., Polimeni J.R., Van Essen D.C., Jenkinson M. The minimal preprocessing pipelines for the Human Connectome Projects. NeuroImage 2013, 80:105-124. for the WU-Minn HCP Consortium.
23. Gross J., Kujala J., Hamalainen M., Timmermann L., Schnitzler A., Salmelin R. Dynamic imaging of coherent sources: studying neural interactions in the human brain. Proc. Natl. Acad. Sci. 2001, 98:694-699.
24. Jbabdi S., Johansen-Berg H. Tractography: where do we go from here?. Brain Connect. 2011, 1:169-183.
25. Jbabdi S., Sotiropoulos S.N., Savio A.M., Grana M., Behrens T.E. Model-based analysis of multishell diffusion MR data for tractography: how to get over fitting problems. Magn. Reson. Med. 2012, 68:1846-1855.
26. Jbabdi S., Lehman J.F., Haber S.N., Behrens T.E. Human and monkey ventral prefrontal fibers use the same organizational principles to reach their targets: tracing versus tractography. J. Neurosci. 2013, 33:3190-3201.
27. Jorde L.B., Wooding S.P. Genetic variation, classification and 'race'. Nat. Genet. 2004, 36:S28-S33.
28. Larkman D.J., Hajnal J.V., Herlihy A.H., Coutts G.A., Young I.R., Ehnholm G. Use of multicoil arrays for separation of signal from multiple slices simultaneously excited. J. Magn. Reson. Imaging 2001, 13:313-317.
29. Larson-Prior L.J., Oostenveld R., Della Penna S., Michalareas G., Prior F., Babajani-Feremi A., Schoffelen J.-M., Marzetti L., de Pasquale F., Di Pompeo F., Stout J., Woolrich M., Luo Q., Bucholz R., Fries P., Pizzella V., Romani G.L., Corbetta M., Snyder A.Z. Adding dynamics to the Human Connectome Project with MEG and EEG. NeuroImage 2013, 80:190-201. for the WU-Minn HCP Consortium.
30. Lenglet C., Abosch A., Yacoub E., De Martino F., Sapiro G., Harel N. Comprehensive in vivo mapping of the human basal ganglia and thalamic connectome in individuals using 7T MRI. PLoS One 2012, 7:e29153.
31. Mantini D., Della Penna S., Marzetti L., de Pasquale F., Pizzella V., Corbetta M., Romani G.L. A signal-processing pipeline for magnetoencephalography resting-state networks. Brain Connectivity 2011, 1:49-59.
32. Marcus D.S., Harms M.P., Snyder A.Z., Jenkinson M., Wilson J.A., Glasser M.F., Barch D.M., Archie K.A., Burgess G.C., Ramaratnam M., Hodge M., Horton W., Herrick R., Olsen T., McKay M., House M., Hileman M., Reid E., Harwell J., Coalson T., Schindler J., Elam J.S., Curtiss S.W., Van Essen D.C. Human Connectome Project informatics: Quality control, database services, and data visualization. Neuroimage 2013, 80:202-219. for the WU-Minn HCP Consortium.
33. Markov N.T., Misery P., Falchier A., Lamy C., Vezoli J., Quilodran R., Gariel M.A., Giroud P., Ercsey-Ravasz M., Pilaz L.J., Huissoud C., Barone P., Dehay C., Toroczkai Z., Van Essen D.C., Kennedy H., Knoblauch K. Weight consistency specifies regularities of macaque cortical networks. Cereb. Cortex 2011, 21:1254-1272.
34. Milchenko M., Marcus D. Obscuring surface anatomy in volumetric imaging data. Neuroinformatics 2013, 11:65-75.
35. Moeller S., Auerbach E., Van de Moortele P.-F., Adriany G., Ugurbil K. fMRI with 16 fold reduction using multibanded multislice sampling. Proc. Int. Soc. Magn. Reson. Med. 2008, 16.
36. Moeller S., Yacoub E., Olman C.A., Auerbach E., Strupp J., Harel N., Ugurbil K. Multiband multislice GE-EPI at 7T, with 16-fold acceleration using partial parallel imaging with application to high spatial and temporal whole-brain fMRI. Magn. Reson. Med. 2010, 63:1144-1153.
37. Ogawa S., Menon R.S., Tank D.W., Kim S.G., Merkle H., Ellermann J.M., Ugurbil K. Functional brain mapping by blood oxygenation level-dependent contrast magnetic resonance imaging. A comparison of signal characteristics with a biophysical model. Biophys. J. 1993, 64:803-812.
38. Oostenveld R., Fries P., Maris E., Schoffelen J.M. FieldTrip: open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data. Comput. Intell. Neurosci. 2011, (156869):152010. (EPub).
39. Posthuma D., Boomsma D.I. A note on the statistical power in extended twin designs. Behav. Genet. 2000, 30:147-158.
40. Power J.D., Cohen A.L., Nelson S.M., Wig G.S., Barnes K.A., Church J.A., Vogel A.C., Laumann T.O., Miezin F.M., Schlaggar B.L., Petersen S.E. Functional network organization of the human brain. Neuron 2011, 72:665-678.
41. Power J.D., Barnes K.A., Snyder A.Z., Schlaggar B.L., Petersen S.E. Steps toward optimizing motion artifact removal in functional connectivity MRI; a reply to Carp. NeuroImage 2013, 76:439-441.
42. Robinson E., Jbabdi S., Andersson J., Smith S., Glasser M., Van Essen D., Burgess G., Harms M., Barch D., Jenkinson M. Multimodal surface matching: fast and generalisable cortical registration using discrete optimisation. Proc Information Processing in Medical Imaging 2013, Springer.
43. Schoffelen J.M., Gross J. Source connectivity analysis with MEG and EEG. Hum. Brain Mapp. 2009, 30:1857-1865.
44. Setsompop K., Gagoski B.A., Polimeni J.R., Witzel T., Wedeen V.J., Wald L.L. Blipped-controlled aliasing in parallel imaging for simultaneous multislice echo planar imaging with reduced g-factor penalty. Magn. Reson. Med. 2012, 67:1210-1224.
45. Shmuel A., Yacoub E., Chaimow D., Logothetis N.K., Ugurbil K. Spatio-temporal point-spread function of fMRI signal in human gray matter at 7T. NeuroImage 2007, 35:539-552.
46. Smith S. The future of fMRI connectivity. NeuroImage 2012, 62:1257-1266.
47. Smith S.M., Miller K.L., Salimi-Khorshidi G., Webster M., Beckmann C.F., Nichols T.E., Ramsey J.D., Woolrich M.W. Network modelling methods for FMRI. NeuroImage 2011, 54:875-891.
48. Smith S.M., Beckmann C.F., Andersson J., Auerbach E.J., Bijsterbosch J., Douaud G., Duff E., Feinberg D.A., Griffanti L., Harms M.P., Kelly M., Laumann T., Miller K.L., Moeller S., Petersen S., Power J., Salimi-Khorshidi G., Snyder A.Z., Vu A.T., Woolrich M.W., Xu J., Yacoub E., Uǧurbil K., Van Essen D.C., Glasser M.F. Resting-state fMRI in the Human Connectome Project. NeuroImage 2013, 80:144-168. for the WU-Minn HCP Consortium.
49. Sotiropoulos S.N., Behrens T.E., Jbabdi S. Ball and rackets: inferring fiber fanning from diffusion-weighted MRI. NeuroImage 2012, 60:1412-1425.
50. Sotiropoulos S.N., Chen C., Dikranian K., Jbabdi S., Behrens T.E., Van Essen D.C., Glasser M.F. Comparison of diffusion MRI predictions and histology in the macaque brain. ISMRM Abstract 2013.
51. Sotiropoulos S.N., Moeller S., Jbabdi S., Xu J., Andersson J.L., Auerbach E., Yacoub E., Feinberg D., Setsompop K., Wald L.L., Behrens T.E., Ugurbil K., Lenglet C. Effects of image reconstruction on fibre orientation mapping from multi-channel difusion MRI: reducing the noise floor using SENSE. Magn. Reson. Med. 2013, (in press).
52. Sotiropoulos S.N., Jbabdi S., Xu J., Andersson J.L., Moeller S., Auerbach E.J., Glasser M.F., Hernandez M., Sapiro G., Jenkinson M., Feinberg D.A., Yacoub E., Lenglet C., Van Essen D.C., Ugurbil K., Behrens T.E.J. Advances in diffusion MRI acquisition and processing in the Human Connectome Project. NeuroImage 2013, 80:125-143. for the WU-Minn HCP Consortium.
53. Uludag K., Muller-Bierl B., Ugurbil K. An integrative model for neuronal activity-induced signal changes for gradient and spin echo functional imaging. Neuroimage 2009, 48:150-165.
54. Tishkoff S.A., Kidd K.K. Implications of biogeography of human populations for 'race' and medicine. Nat. Genet. 2004, 36:S21-S27.
55. Ugurbil K., Adriany G., Andersen P., Chen W., Garwood M., Gruetter R., Henry P.G., Kim S.G., Lieu H., Tkac I., Vaughan T., Van De Moortele P.F., Yacoub E., Zhu X.H. Ultrahigh field magnetic resonance imaging and spectroscopy. Magn. Reson. Imaging 2003, 21:1263-1281.
56. Ugurbil K., Xu J., Auerbach E.J., Moeller S, Vu A.T., Duarte-Carvajalino J.M., Lenglet C., Wu X., Schmitter S., Van de Moortele P.F., Strupp J., Sapiro G., De Martino F., Wang D., Harel N., Garwood M., Chen L., Feinberg D.A., Smith S.M., Miller K.L., Sotiropoulos S.N., Jbabdi S., Andersson J.L.R., Behrens T.E.J., Glasser M.F., Van Essen D.C., Yacoub E. Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project. NeuroImage 2013, 80:80-104. for the WU-Minn HCP Consortium.
57. Van Essen D.C. Lost in localization - but found with foci?!. NeuroImage 2009, 48:14-17.
58. Van Essen D.C., Glasser M.F. In vivo architectonics: a cortico-centric perspective. NeuroImage 2013, 10.1016/j.neuroimage.2013.04.095.
59. Van Essen D.C., Ugurbil K., Auerbach E., Barch D., Behrens T.E., Bucholz R., Chang A., Chen L., Corbetta M., Curtiss S.W., Della Penna S., Feinberg D., Glasser M.F., Harel N., Heath A.C., Larson-Prior L., Marcus D., Michalareas G., Moeller S., Oostenveld R., Petersen S.E., Prior F., Schlaggar B.L., Smith S.M., Snyder A.Z., Xu J., Yacoub E., et al. The Human Connectome Project: a data acquisition perspective. NeuroImage 2012, 62:2222-2231.
60. Van Essen D.C., Glasser M.F., Dierker D., Harwell J., Coalson T. Parcellations and hemispheric asymmetries of human cerebral cortex analyzed on surface-based atlases. Cereb. Cortex 2012, 22:2241-2262. 10.1093/cercor/bhr2291.
61. Van Essen D.C., Jbabdi S., Sotiropoulos S.N., Chen C., Dikranian K., Coalson T., Harwell J., Behrens T.E., Glasser M.F. Mapping connections in humans and nonhuman primates: aspirations and challenges for diffusion imaging. Diffusion MRI: From Quantitative Measurement to In-vivo Neuroanatomy 2013, Academic Press, (in press). 2nd edition. H. Johansen-Berg, T.E. Behrens (Eds.).
62. Van Veen B.D., van Drongelen W., Yuchtman M., Suzuki A. Localization of brain electrical activity via linearly constrained minimum variance spatial filtering. IEEE Trans. Biomed. Eng. 1997, 44:867-880.
63. Vaughan J.T., Garwood M., Collins C.M., Liu W., DelaBarre L., Adriany G., Andersen P., Merkle H., Goebel R., Smith M.B., Ugurbil K. 7T vs. 4T: RF power, homogeneity, and signal-to-noise comparison in head images. Magn. Reson. Med. 2001, 46:24-30.
64. Wig G.S., Laumann T.O., Cohen A.L., Power J.D., Nelson S.M., Glasser M.F., Miezin F.M., Snyder A.Z., Schlaggar B.L., Petersen S.E. Parcellating an individual subject's cortical and subcortical brain structures using snowball sampling of resting-state correlations. Cereb. Cortex 2013, (Epub ahead of print 2013 March 8).
65. Woolrich M.W., Ripley B.D., Brady M., Smith S.M. Temporal autocorrelation in univariate linear modeling of FMRI data. NeuroImage 2001, 14:1370-1386.
66. Yacoub E., Shmuel A., Pfeuffer J., Van De Moortele P.F., Adriany G., Andersen P., Vaughan J.T., Merkle H., Ugurbil K., Hu X. Imaging brain function in humans at 7T. Magn. Reson. Med. 2001, 45:588-594.
67. Yeo B.T., Krienen F.M., Sepulcre J., Sabuncu M.R., Lashkari D., Hollinshead M., Roffman J.L., Smoller J.W., Zollei L., Polimeni J.R., Fischl B., Liu H., Buckner R.L. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J. Neurophysiol. 2011, 106:1125-1165.
68. Zaitsev M., Dold C., Sakas G., Hennig J., Speck O. Magnetic resonance imaging of freely moving objects: prospective real-time motion correction using an external optical motion tracking system. NeuroImage 2006, 31:1038-1050.