I love Dana.org



  1. M.F. Glasser, S.M. Smith, D.S. Marcus, J. Andersson, E.J. Auerbach, T.E.J. Behrens, T.S. Coalson, et al., “The Human Connectome Project’s neuroimaging approach, Nature Neuroscience,  (in press) (2016).

  2. D.C. Van Essen, S.M. Smith, D.M. Barch, T.E. Behrens, E. Yacoub, and K. Ugurbil, “The WU-Minn Human Connectome Project: an overview, Neuroimage,  80 (2013)  62-79.

  3. M.F. Glasser, T.S. Coalson, E.C. Robinson, C.D. Hacker, J. Harwell, E. Yacoub, K. Ugurbil, et al., “A multi-modal parcellation of human cerebral cortex, Nature 536 (2016)  171-178  doi 10.1038/nature18933.

  4. K. Ugurbil, J. Xu, E.J. Auerbach, S. Moeller, A.T. Vu, J.M. Duarte-Carvajalino, C. Lenglet, et al., “Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project, Neuroimage,  80 (2013)  80-104.

  5. S.N. Sotiropoulos, S. Jbabdi, J. Xu, J.L. Andersson, S. Moeller, E.J. Auerbach, M.F. Glasser, et al., “Advances in diffusion MRI acquisition and processing in the Human Connectome Project,Neuroimage,  80 (2013)  125-43.

  6. J.L. Andersson and S.N. Sotiropoulos, “An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging, Neuroimage,  125 (2016)  1063-78.

  7. M.F. Glasser, S.N. Sotiropoulos, J.A. Wilson, T.S. Coalson, B. Fischl, J.L. Andersson, J. Xu, et al., “The minimal preprocessing pipelines for the Human Connectome Project, Neuroimage,  80 (2013)  105-24.

  8. L. Griffanti, G. Salimi-Khorshidi, C.F. Beckmann, E.J. Auerbach, G. Douaud, C.E. Sexton, E. Zsoldos, et al., “ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging, Neuroimage,  95 (2014)  232-47.

  9. G. Salimi-Khorshidi, G. Douaud, C.F. Beckmann, M.F. Glasser, L. Griffanti, and S.M. Smith, “Automatic denoising of functional MRI data: combining independent component analysis and hierarchical fusion of classifiers, Neuroimage,  90 (2014)  449-68.

  10. S.M. Smith, D. Vidaurre, C.F. Beckmann, M.F. Glasser, M. Jenkinson, K.L. Miller, T.E. Nichols, et al., “Functional connectomics from resting-state fMRI, Trends Cogn Sci,  17 (2013)  666-82.

  11. J.D. Power, A. Mitra, T.O. Laumann, A.Z. Snyder, B.L. Schlaggar, and S.E. Petersen, “Methods to detect, characterize, and remove motion artifact in resting state fMRI, Neuroimage,  84 (2014)  320-41.

  12. Z.S. Saad, R.C. Reynolds, H.J. Jo, S.J. Gotts, G. Chen, A. Martin, and R.W. Cox, “Correcting brain-wide correlation differences in resting-state FMRI, Brain Connect,  3 (2013)  339-52.

  13. D.C. Van Essen, “Cartography and connectomes, Neuron,  80 (2013)  775-790.

  14. D.C. Van Essen and J.H. Maunsell, “Two-dimensional maps of the cerebral cortex, J Comp Neurol,  191 (1980)  255-81.

  15. B. Fischl, A. Liu, and A.M. Dale, “Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex, IEEE Trans Med Imaging,  20 (2001)  70-80.

  16. M.F. Glasser and D.C. Van Essen, “Mapping human cortical areas in vivo based on myelin content as revealed by T1- and T2-weighted MRI, J Neurosci,  31 (2011)  11597-616.

  17. M.F. Glasser, M.S. Goyal, T.M. Preuss, M.E. Raichle, and D.C. Van Essen, “Trends and properties of human cerebral cortex: correlations with cortical myelin content, Neuroimage,  93 Pt 2 (2014)  165-75.

  18. D.C. Van Essen, H.A. Drury, S. Joshi, and M.I. Miller, “Functional and structural mapping of human cerebral cortex: solutions are in the surfaces, Proc Natl Acad Sci U S A,  95 (1998)  788-95.

  19. B. Fischl, M.I. Sereno, R.B. Tootell, and A.M. Dale, “High-resolution intersubject averaging and a coordinate system for the cortical surface, Hum Brain Mapp,  8 (1999)  272-84.

  20. H.A. Drury, D.C. Van Essen, C.H. Anderson, C.W. Lee, T.A. Coogan, and J.W. Lewis, “Computerized mappings of the cerebral cortex: a multiresolution flattening method and a surface-based coordinate system, J Cogn Neurosci,  8 (1996)  1-28.

  21. E.C. Robinson, S. Jbabdi, M.F. Glasser, J. Andersson, G.C. Burgess, M.P. Harms, S.M. Smith, et al., “MSM: A new flxible framework for multimodal surface matching, Neuroimage,  100 (2014)  414-426.

  22. K. Brodmann, “Vergleichende Lokalisationslehre der Grosshirnrinde. Leipzig:,  (1909).

  23. R. Nieuwenhuys, “The myeloarchitectonic studies on the human cerebral cortex of the Vogt-Vogt school, and their significance for the interpretation of functional neuroimaging data, Brain Struct Funct,  218 (2013)  303-52.

  24. C. Vogt and O. Vogt, “Allgemeinere ergebnisse unswerer hirnforschung, J Psychol Neurol,  25 (1919)  279-468.

  25. J. Dickson, H. Drury, and D.C. Van Essen, “‘The surface management system’ (SuMS) database: a surface-based database to aid cortical surface reconstruction, visualization and analysis, Philos Trans R Soc Lond B Biol Sci,  356 (2001)  1277-92.

  26. M.R. Hodge, W. Horton, T. Brown, R. Herrick, T. Olsen, M.E. Hileman, M. McKay, et al., “ConnectomeDB–Sharing human brain connectivity data, Neuroimage,  124 (2016)  1102-7.

  27. D.S. Marcus, M.P. Harms, A.Z. Snyder, M. Jenkinson, J.A. Wilson, M.F. Glasser, D.M. Barch, et al., “Human Connectome Project informatics: quality control, database services, and data visualization, Neuroimage,  80 (2013)  202-19.

  28. D.S. Marcus, T.R. Olsen, M. Ramaratnam, and R.L. Buckner, “The Extensible Neuroimaging Archive Toolkit: an informatics platform for managing, exploring, and sharing neuroimaging data,Neuroinformatics,  5 (2007)  11-34.

  29. D. Van Essen, J. Smith, M. Glasser, J. Elam, C. Donahue, D.L. Dierker, E.K. Reid, et al., “The brain analysis of spatial maps and atlases (BALSA) databas, Neuroimage (in press; 10.1016/j.neuroimage.2016.04.002),  (2016).

  30. S.M. Smith, T.E. Nichols, D. Vidaurre, A.M. Winkler, T.E. Behrens, M.F. Glasser, K. Ugurbil, et al., “A positive-negative mode of population covariation links brain connectivity, demographics and behavior, Nat Neurosci,  18 (2015)  1565-7.

  31. B.T. Yeo, F.M. Krienen, M.W. Chee, and R.L. Buckner, “Estimates of segregation and overlap of functional connectivity networks in the human cerebral cortex, Neuroimage,  88 (2014)  212-27.

  32. I. Tavor, O. Parker-Jones, R. Mars, S. Smith, B. TE, and S. Jbabdi, “Task-free MRI predicts individual differences in brain activity during task performance, Science,  352 (2016)  216-220.

  33. M. Hawrylycz, J.A. Miller, V. Menon, D. Feng, T. Dolbeare, A.L. Guillozet-Bongaarts, A.G. Jegga, et al., “Canonical genetic signatures of the adult human brain, Nat Neurosci,  18 (2015)  1832-44.

  34. M.D. Tisdall, M. Reuter, A. Qureshi, R.L. Buckner, B. Fischl, and A.J. van der Kouwe, “Prospective motion correction with volumetric navigators (vNavs) reduces the bias and variance in brain morphometry induced by subject motion, Neuroimage,  127 (2016)  11-22.