The Human Connectome Project's neuroimaging approach

<i>The Structure of Scientific Revolutions</i>

Kuhn, T. S., & Schlegel, R. (1963) · Physics Today · doi:10.1063/1.3050879 · Cited by 35,538 · see citing works

Cortical Surface-Based Analysis

Dale, A. M., Fischl, B., & Sereno, M. I. (1999) · NeuroImage · doi:10.1006/nimg.1998.0395 · Cited by 10,910 · see citing works

The organization of the human cerebral cortex estimated by intrinsic functional connectivity

Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182 · see citing works

Whole Brain Segmentation

Fischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., et al. (2002) · Neuron · doi:10.1016/s0896-6273(02)00569-x · Cited by 8,610 · see citing works

Distributed hierarchical processing in the primate cerebral cortex

Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783 · see citing works

Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion

Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.018 · Cited by 7,429 · see citing works

The organization of the human cerebellum estimated by intrinsic functional connectivity

Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304 · see citing works

Cortical Surface-Based Analysis

Fischl, B., Sereno, M. I., & Dale, A. M. (1999) · NeuroImage · doi:10.1006/nimg.1998.0396 · Cited by 6,147 · see citing works

MR diffusion tensor spectroscopy and imaging

Basser, P. J., Mattiello, J., & LeBihan, D. (1994) · Biophysical Journal · doi:10.1016/s0006-3495(94)80775-1 · Cited by 5,970 · see citing works

Measuring the thickness of the human cerebral cortex from magnetic resonance images

Fischl, B. R., & Dale, A. M. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.200033797 · Cited by 5,789 · see citing works

The WU-Minn Human Connectome Project: An overview

Van Essen, D. C., Smith, S. M., Barch, D. M., Behrens, T. E. J., Yacoub, E., & Ugurbil, K. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.041 · Cited by 5,651 · see citing works

The minimal preprocessing pipelines for the Human Connectome Project

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., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.127 · Cited by 5,253 · see citing works

A multi-modal parcellation of human cerebral cortex

Glasser, M. F., Coalson, T. S., Robinson, E. C., Hacker, C. D., Harwell, J., Yacoub, E., Ugurbil, K., Andersson, J., Beckmann, C. F., Jenkinson, M., et al. (2016) · Nature · doi:10.1038/nature18933 · Cited by 5,111 · see citing works

The Alzheimer’s disease neuroimaging initiative (ADNI): MRI methods

Jack, C. R., Bernstein, M. A., Fox, N. C., Thompson, P., Alexander, G., Harvey, D., Borowski, B., Britson, P. J., L. Whitwell, J., Ward, C., et al. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21049 · Cited by 4,347 · see citing works

Automatically Parcellating the Human Cerebral Cortex

Fischl, B. R. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg087 · Cited by 4,208 · see citing works

Functional Network Organization of the Human Brain

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., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.006 · Cited by 4,124 · see citing works

A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data

Eickhoff, S. B., Stephan, K. E., Mohlberg, H., Grefkes, C., Fink, G. R., Amunts, K., & Zilles, K. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.12.034 · Cited by 4,033 · see citing works

Methods to detect, characterize, and remove motion artifact in resting state fMRI

Power, J. D., Mitra, A., Laumann, T. O., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.048 · Cited by 3,748 · see citing works

Accurate and robust brain image alignment using boundary-based registration

Greve, D. N., & Fischl, B. R. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.06.060 · Cited by 3,553 · see citing works

Cluster failure: why fMRI inferences for spatial extent have inflated false-positive rates

Eklund, A., Nichols, T. E., & Knutsson, H. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1602413113 · Cited by 3,487 · see citing works

An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging

Andersson, J., & Sotiropoulos, S. N. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.019 · Cited by 3,439 · see citing works

Preface: Cerebral Cortex Has Come of Age

Goldman, P. S., & RAKIC, P. T. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1-a · Cited by 3,412 · see citing works

NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain

Zhang, H., Schneider, T., Wheeler-Kingshott, C. A., & Alexander, D. C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.072 · Cited by 3,288 · see citing works

Probabilistic Independent Component Analysis for Functional Magnetic Resonance Imaging

Beckmann, C. F., & Smith, S. M. (2004) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2003.822821 · Cited by 2,707 · see citing works

Borders of Multiple Visual Areas in Humans Revealed by Functional Magnetic Resonance Imaging

Sereno, M. I., Dale, A. M., Reppas, J. B., Kwong, K. K., Belliveau, J. W., Brady, T. J., Rosen, B. R., & Tootell, R. B. H. (1995) · Science · doi:10.1126/science.7754376 · Cited by 2,658 · see citing works

The impact of global signal regression on resting state correlations: are anti-correlated networks introduced?

Murphy, K., Birn, R. M., Handwerker, D. A., Jones, T. B., & Bandettini, P. A. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.09.036 · Cited by 2,387 · see citing works

Sequence-independent segmentation of magnetic resonance images

Fischl, B. R., Salat, D. H., van der Kouwe, A. J. W., Makris, N., Ségonne, F., Quinn, B. T., & Dale, A. M. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.016 · Cited by 2,117 · see citing works

Improved Localizadon of Cortical Activity by Combining EEG and MEG with MRI Cortical Surface Reconstruction: A Linear Approach

Dale, A. M., & Sereno, M. I. (1993) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1993.5.2.162 · Cited by 2,003 · see citing works

Network modelling methods for FMRI

Smith, S. M., Miller, K. L., Salimi-Khorshidi, G., Webster, M., Beckmann, C. F., Nichols, T. E., Ramsey, J. D., & Woolrich, M. W. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.08.063 · Cited by 1,878 · see citing works

Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers

Salimi-Khorshidi, G., Douaud, G., Beckmann, C. F., Glasser, M. F., Griffanti, L., & Smith, S. M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.046 · Cited by 1,770 · see citing works

Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex

Fischl, B. R., Liu, A., & Dale, A. M. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.906426 · Cited by 1,755 · see citing works

Multiband multislice GE‐EPI at 7 tesla, with 16‐fold acceleration using partial parallel imaging with application to high spatial and temporal whole‐brain fMRI

Moeller, S., Yacoub, E., Olman, C. A., Auerbach, E., Strupp, J., Harel, N., & Uğurbil, K. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22361 · Cited by 1,586 · see citing works

Intrinsic and task-evoked network architectures of the human brain

Cole, M. W., Bassett, D. S., Power, J. D., Braver, T. S., & Petersen, S. E. (2014) · Neuron · doi:10.1016/j.neuron.2014.05.014 · Cited by 1,564 · see citing works

Function in the human connectome: task-fMRI and individual differences in behavior

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., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.033 · Cited by 1,529 · see citing works

Resting-state fMRI in the human connectome project

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., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.039 · Cited by 1,502 · see citing works

Generation and evaluation of a cortical area parcellation from resting-state correlations

Gordon, E. M., Laumann, T. O., Adeyemo, B., Huckins, J. F., Kelley, W. M., & Petersen, S. E. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhu239 · Cited by 1,463 · see citing works

Mapping Human Cortical Areas <i>In Vivo</i> Based on Myelin Content as Revealed by T1- and T2-Weighted MRI

Glasser, M. F., & Van Essen, D. C. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.2180-11.2011 · Cited by 1,447 · see citing works

Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data

Jeurissen, B., Tournier, J., Dhollander, T., Connelly, A., & Sijbers, J. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.061 · Cited by 1,394 · see citing works

Multiplexed echo planar imaging for sub-second whole brain FMRI and fast diffusion imaging

Feinberg, D. A., Moeller, S., Smith, S. M., Auerbach, E., Ramanna, S., Glasser, M. F., Miller, K. L., Ugurbil, K., & Yacoub, E. (2010) · PLoS ONE · doi:10.1371/journal.pone.0015710 · Cited by 1,296 · see citing works

Blipped‐controlled aliasing in parallel imaging for simultaneous multislice echo planar imaging with reduced <i>g</i> ‐factor penalty

Setsompop, K., Gagoski, B. A., Polimeni, J. R., Witzel, T., Wedeen, V. J., & Wald, L. L. (2012) · Magnetic Resonance in Medicine · doi:10.1002/mrm.23097 · Cited by 1,285 · see citing works

ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging

Griffanti, L., Salimi‐Khorshidi, G., Beckmann, C. F., Auerbach, E. J., Douaud, G., Sexton, C. E., Zsoldos, E., Ebmeier, K. P., Filippini, N., Mackay, C. E., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.03.034 · Cited by 1,234 · see citing works

Vergleichende Lokalisationslehre der Grosshirnrinde

Jelliffe (1910) · The Journal of Nervous and Mental Disease · doi:10.1097/00005053-191012000-00013 · Cited by 1,211 · see citing works

A Population-Average, Landmark- and Surface-based (PALS) atlas of human cerebral cortex

Van Essen, D. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.06.058 · Cited by 1,151 · see citing works

Impact of in-scanner head motion on multiple measures of functional connectivity: relevance for studies of neurodevelopment in youth

Satterthwaite, T. D., Wolf, D. H., Loughead, J., Ruparel, K., Elliott, M. A., Hakonarson, H., Gur, R. C., & Gur, R. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.063 · Cited by 1,125 · see citing works

Geometrically Accurate Topology-Correction of Cortical Surfaces Using Nonseparating Loops

Ségonne, F., Pacheco, J., & Fischl, B. R. (2007) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2006.887364 · Cited by 995 · see citing works

Recent progress and outstanding issues in motion correction in resting state fMRI

Power, J. D., Schlaggar, B. L., & Petersen, S. E. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.10.044 · Cited by 957 · see citing works

Functional system and areal organization of a highly sampled individual human brain

Laumann, T. O., Gordon, E. M., Adeyemo, B., Snyder, A. Z., Joo, S. J., Chen, M.-Y., Gilmore, A. W., McDermott, K. B., Nelson, S. M., Dosenbach, N. U. F., et al. (2015) · Neuron · doi:10.1016/j.neuron.2015.06.037 · Cited by 911 · see citing works

Advances in diffusion MRI acquisition and processing in the Human Connectome Project

Sotiropoulos, S. N., Jbabdi, S., Xu, J., Andersson, J., Moeller, S., Auerbach, E. J., Glasser, M. F., Hernandez, M., Sapiro, G., Jenkinson, M., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.057 · Cited by 872 · see citing works

A positive-negative mode of population covariation links brain connectivity, demographics and behavior

Smith, S. M., Nichols, T. E., Vidaurre, D., Winkler, A. M., Behrens, T. E. J., Glasser, M. F., Ugurbil, K., Barch, D. M., Van Essen, D. C., & Miller, K. L. (2015) · Nature Neuroscience · doi:10.1038/nn.4125 · Cited by 859 · see citing works

Trouble at rest: how correlation patterns and group differences become distorted after global signal regression

Saad, Z. S., Gotts, S. J., Murphy, K., Chen, G., Jo, H. J., Martin, A., & Cox, R. W. (2012) · Brain Connectivity · doi:10.1089/brain.2012.0080 · Cited by 859 · see citing works

Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project

Uğurbil, 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., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.012 · Cited by 812 · see citing works

Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images

Andersson, J., Graham, M. S., Zsoldos, E., & Sotiropoulos, S. N. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.06.058 · Cited by 752 · see citing works

Cortical folding patterns and predicting cytoarchitecture

Fischl, B., Rajendran, N., Busa, E., Augustinack, J., Hinds, O., Yeo, B. T. T., Mohlberg, H., Amunts, K., & Zilles, K. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm225 · Cited by 737 · see citing works

Task-free MRI predicts individual differences in brain activity during task performance

Tavor, I., Jones, Ō. P., Mars, R. B., Smith, S. M., Behrens, T. E. J., & Jbabdi, S. (2016) · Science · doi:10.1126/science.aad8127 · Cited by 726 · see citing works

Probabilistic Maps of Visual Topography in Human Cortex

Wang, L., Mruczek, R. E. B., Arcaro, M. J., & Kästner, S. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu277 · Cited by 714 · see citing works

Canonical genetic signatures of the adult human brain

Hawrylycz, M., Miller, J. A., Menon, V., Feng, D., Dolbeare, T., Guillozet-Bongaarts, A. L., Jegga, A. G., Aronow, B. J., Lee, C.-K., Bernard, A., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4171 · Cited by 663 · see citing works

DTI Tractography of the Human Brain's Language Pathways

Glasser, M. F., & Rilling, J. K. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn011 · Cited by 654 · see citing works

A Common, High-Dimensional Model of the Representational Space in Human Ventral Temporal Cortex

Haxby, J. V., Guntupalli, J. S., Connolly, A. C., Halchenko, Y. O., Conroy, B., Gobbini, M. I., Hanke, M., & Ramadge, P. J. (2011) · Neuron · doi:10.1016/j.neuron.2011.08.026 · Cited by 645 · see citing works

Brodmann's Areas 17 and 18 Brought into Stereotaxic Space—Where and How Variable?

Amunts, K., Maliković, A., Mohlberg, H., Schormann, T., & Zilles, K. (2000) · NeuroImage · doi:10.1006/nimg.1999.0516 · Cited by 640 · see citing works

MSM: a new flexible framework for Multimodal Surface Matching

Robinson, E. C., Jbabdi, S., Glasser, M. F., Andersson, J., Burgess, G. C., Harms, M. P., Smith, S. M., Van Essen, D. C., & Jenkinson, M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.069 · Cited by 640 · see citing works

Parcellations and Hemispheric Asymmetries of Human Cerebral Cortex Analyzed on Surface-Based Atlases

Van Essen, D. C., Glasser, M. F., Dierker, D. L., Harwell, J., & Coalson, T. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr291 · Cited by 616 · see citing works

Coupling Mechanism and Significance of the BOLD Signal: A Status Report

Hillman, E. M. C. (2014) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071013-014111 · Cited by 615 · see citing works

White matter characterization with diffusional kurtosis imaging

Fieremans, E., Jensen, J. H., & Helpern, J. A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.06.006 · Cited by 561 · see citing works

Pushing the limits of in vivo diffusion MRI for the Human Connectome Project

Setsompop, K., Kimmlingen, R., Eberlein, E., Witzel, T., Cohen-Adad, J., McNab, J. A., Keil, B., Tisdall, M. D., Hoecht, P., Dietz, P., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.078 · Cited by 545 · see citing works

Parcellating cortical functional networks in individuals

Wang, D., Buckner, R. L., Fox, M. D., Holt, D. J., Holmes, A. J., Stoecklein, S., Langs, G., Pan, R., Qian, T., Li, K., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4164 · Cited by 527 · see citing works

Evaluation of slice accelerations using multiband echo planar imaging at 3T

Xu, J., Moeller, S., Auerbach, E. J., Strupp, J., Smith, S. M., Feinberg, D. A., Yacoub, E. S., & Uǧurbil, K. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.07.055 · Cited by 516 · see citing works

Human Connectome Project informatics: Quality control, database services, and data visualization

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., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.077 · Cited by 465 · see citing works

The extensible neuroimaging archive toolkit

Marcus, D. S., Olsen, T. R., Ramaratnam, M., & Buckner, R. L. (2007) · Neuroinformatics · doi:10.1385/ni:5:1:11 · Cited by 462 · see citing works

Deformable registration of diffusion tensor MR images with explicit orientation optimization

ZHANG, H., Yushkevich, P. A., Alexander, D. C., & Gee, J. C. (2006) · Medical Image Analysis · doi:10.1016/j.media.2006.06.004 · Cited by 461 · see citing works

Trends and properties of human cerebral cortex: Correlations with cortical myelin content

Glasser, M. F., Goyal, M. S., Preuss, T. M., Raichle, M. E., & Essen, D. C. V. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.060 · Cited by 456 · see citing works

Contextual Feedback to Superficial Layers of V1

Muckli, L., De Martino, F., Vizioli, L., Petro, L. S., Smith, F. W., Ugurbil, K., Goebel, R., & Yacoub, E. (2015) · Current Biology · doi:10.1016/j.cub.2015.08.057 · Cited by 423 · see citing works

Superficial white matter fiber systems impede detection of long-range cortical connections in diffusion MR tractography

Reveley, C., Seth, A. K., Pierpaoli, C., Silva, A. C., Yu, D., Saunders, R. C., Leopold, D. A., & Ye, F. Q. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1418198112 · Cited by 417 · see citing works

Model-based analysis of multishell diffusion MR data for tractography: how to get over fitting problems

Jbabdi, S., Sotiropoulos, S. N., Savio, A. M., Graña, M., & Behrens, T. E. J. (2012) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24204 · Cited by 399 · see citing works

Deformable Registration of Diffusion Tensor MR Images with Explicit Orientation Optimization

Zhang, H. G., Yushkevich, P. A., & Gee, J. C. (2005) · Lecture notes in computer science · doi:10.1007/11566465_22 · Cited by 389 · see citing works

Using diffusion tractography to predict cortical connection strength and distance: a quantitative comparison with tracers in the monkey

Donahue, C. J., Sotiropoulos, S. N., Jbabdi, S., Hernandez-Fernandez, M., Behrens, T. E., Dyrby, T. B., Coalson, T., Kennedy, H., Knoblauch, K., Van Essen, D. C., et al. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.0493-16.2016 · Cited by 380 · see citing works

Imaging retinotopic maps in the human brain

Wandell, B. A., & Winawer, J. A. (2010) · Vision Research · doi:10.1016/j.visres.2010.08.004 · Cited by 376 · see citing works

The role of physiological noise in resting-state functional connectivity

Birn, R. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.016 · Cited by 357 · see citing works

The Human Connectome Project and beyond: Initial applications of 300mT/m gradients

McNab, J. A., Edlow, B. L., Witzel, T., Huang, S. Y., Bhat, H., Heberlein, K., Feiweier, T., Liu, K., Keil, B. R., Cohen‐Adad, J., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.074 · Cited by 345 · see citing works

Measuring macroscopic brain connections in vivo

Jbabdi, S., Sotiropoulos, S. N., Haber, S. N., Van Essen, D. C., & Behrens, T. E. (2015) · Nature Neuroscience · doi:10.1038/nn.4134 · Cited by 334 · see citing works

Distribution of axon diameters in cortical white matter: an electron-microscopic study on three human brains and a macaque.

Liewald, D., Miller, R., Logothetis, N., Wagner, H.-J., & Schüz, A. (2014) · Biological Cybernetics · doi:10.1007/s00422-014-0626-2 · Cited by 322 · see citing works

Measuring structural–functional correspondence: Spatial variability of specialised brain regions after macro-anatomical alignment

Frost, M. A., & Goebel, R. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.035 · Cited by 305 · see citing works

Relationship between respiration, end-tidal CO2, and BOLD signals in resting-state fMRI

Chang, C. E., & Glover, G. H. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.04.048 · Cited by 292 · see citing works

Cytoarchitectonic Analysis of the Human Extrastriate Cortex in the Region of V5/MT+: A Probabilistic, Stereotaxic Map of Area hOc5

Maliković, A., Amunts, K., Schleicher, A., Mohlberg, H., Eickhoff, S. B., Wilms, M., Palomero‐Gallagher, N., Armstrong, E., & Zilles, K. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhj181 · Cited by 272 · see citing works

High-Dimensional Spatial Normalization of Diffusion Tensor Images Improves the Detection of White Matter Differences: An Example Study Using Amyotrophic Lateral Sclerosis

Zhang, H. G., Avants, B., Yushkevich, P. A., Woo, J. H., Wang, S., McCluskey, L. F., Elman, L. B., Melhem, E. R., & Gee, J. C. (2007) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2007.906784 · Cited by 263 · see citing works

Modular and Hierarchical Organization of Extrastriate Visual Cortex in the Macaque MonkeyPreprint

Essen, D. C. V., Felleman, D. J., DeYoe, E. A., Olavarría, J. F., & Knierim, J. J. (1990) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.1990.055.01.064 · Cited by 259 · see citing works

The perils of global signal regression for group comparisons: a case study of Autism Spectrum Disorders

Gotts, S. J., Saad, Z. S., Jo, H. J., Wallace, G. L., Cox, R. W., & Martin, A. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00356 · Cited by 255 · see citing works

The myeloarchitectonic studies on the human cerebral cortex of the Vogt–Vogt school, and their significance for the interpretation of functional neuroimaging data

Nieuwenhuys, R. (2012) · Brain Structure and Function · doi:10.1007/s00429-012-0460-z · Cited by 252 · see citing works

Non-parametric representation and prediction of single- and multi-shell diffusion-weighted MRI data using Gaussian processes

Andersson, J., & Sotiropoulos, S. N. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.067 · Cited by 249 · see citing works

Multi-level block permutation

Winkler, A. M., Webster, M., Vidaurre, D., Nichols, T. E., & Smith, S. M. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.05.092 · Cited by 247 · see citing works

Human connectomics

Behrens, T. E. J., & Sporns, O. (2011) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.08.005 · Cited by 245 · see citing works

Resting state network estimation in individual subjects

Hacker, C. D., Laumann, T. O., Szrama, N. P., Baldassarre, A., Snyder, A. Z., Leuthardt, E. C., & Corbetta, M. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.108 · Cited by 237 · see citing works

Estimates of segregation and overlap of functional connectivity networks in the human cerebral cortex

Yeo, B. T. T., Krienen, F. M., Chee, M. W. L., & Buckner, R. L. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.10.046 · Cited by 237 · see citing works

Adding dynamics to the Human Connectome Project with MEG

Larson‐Prior, L. J., Oostenveld, R., Penna, S. D., Michalareas, G., Prior, F., Abbas Babajani-feremi, A., Schoffelen, J., Marzetti, L., de Pasquale, F., Pompeo, F., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.056 · Cited by 226 · see citing works

Visual Areas in Macaque Cortex Measured Using Functional Magnetic Resonance Imaging

Brewer, A. A., Press, W., Logothetis, N. K., & Wandell, B. A. (2002) · Journal of Neuroscience · doi:10.1523/jneurosci.22-23-10416.2002 · Cited by 221 · see citing works

A diffusion MRI tractography connectome of the mouse brain and comparison with neuronal tracer data

Calabrese, E., Badea, A., Cofer, G., Qi, Y., & Johnson, G. A. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv121 · Cited by 221 · see citing works

High resolution whole brain diffusion imaging at 7 T for the Human Connectome Project

Vu, A. T., Auerbach, E. J., Lenglet, C., Moeller, S., Sotiropoulos, S. N., Jbabdi, S., Andersson, J., Yacoub, E. S., & Uǧurbil, K. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.08.004 · Cited by 218 · see citing works

Correcting Brain-Wide Correlation Differences in Resting-State FMRI

Saad, Z. S., Reynolds, R. C., Jo, H. J., Gotts, S. J., Chen, G., Martin, A. D., & Cox, R. W. (2013) · Brain Connectivity · doi:10.1089/brain.2013.0156 · Cited by 200 · see citing works

The future of the human connectome

Essen, D. C. V., & Uǧurbil, K. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.032 · Cited by 195 · see citing works

Spectral characteristics of resting state networks

Niazy, R. K., Xie, J., Miller, K., Beckmann, C. F., & Smith, S. M. (2011) · Progress in brain research · doi:10.1016/b978-0-444-53839-0.00017-x · Cited by 175 · see citing works

BOLD fractional contribution to resting-state functional connectivity above 0.1 Hz

Chen, J. E., & Glover, G. H. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.012 · Cited by 171 · see citing works

Frequency preference and attention effects across cortical depths in the human primary auditory cortex

Martino, F. D., Moerel, M., Uǧurbil, K., Goebel, R., Yacoub, E. S., & Formisano, E. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1507552112 · Cited by 167 · see citing works

Multiband accelerated spin‐echo echo planar imaging with reduced peak RF power using time‐shifted RF pulses

Auerbach, E. J., Xu, J., Yacoub, E. S., Moeller, S., & Uǧurbil, K. (2013) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24719 · Cited by 144 · see citing works

Correspondences between retinotopic areas and myelin maps in human visual cortex

Abdollahi, R. O., Kolster, H., Glasser, M. F., Robinson, E. C., Coalson, T. S., Dierker, D., Jenkinson, M., Van Essen, D. C., & Orban, G. A. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.06.042 · Cited by 126 · see citing works

Comparing surface-based and volume-based analyses of functional neuroimaging data in patients with schizophrenia

Anticevic, A., Dierker, D. L., Gillespie, S. K., Repovš, G., Csernansky, J. G., Essen, D. C. V., & Barch, D. M. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.02.052 · Cited by 120 · see citing works

Spatial organization of frequency preference and selectivity in the human inferior colliculus

Martino, F. D., Moerel, M., de Moortele, P. V., Uǧurbil, K., Goebel, R., Yacoub, E. S., & Formisano, E. (2013) · Nature Communications · doi:10.1038/ncomms2379 · Cited by 114 · see citing works

Mapping the end-tidal CO2 response function in the resting-state BOLD fMRI signal: Spatial specificity, test–retest reliability and effect of fMRI sampling rate

Golestani, A., Chang, C. E., Kwinta, J. B., Khatamian, Y. B., & Chen, J. J. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.10.031 · Cited by 113 · see citing works

The impact of gradient strength on in vivo diffusion MRI estimates of axon diameter

Huang, S. Y., Nummenmaa, A. R., Witzel, T., Duval, T., Cohen‐Adad, J., Wald, L. L., & McNab, J. A. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.008 · Cited by 112 · see citing works

Fusion in diffusion MRI for improved fibre orientation estimation: an application to the 3T and 7T data of the human connectome project

Sotiropoulos, S. N., Hernández-Fernández, M., Vu, A. T., Andersson, J. L., Moeller, S., Yacoub, E., Lenglet, C., Ugurbil, K., Behrens, T. E. J., & Jbabdi, S. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.014 · Cited by 110 · see citing works

A new myeloarchitectonic map of the human neocortex based on data from the Vogt–Vogt school

Nieuwenhuys, R., Broere, C. A. J., & Cerliani, L. (2014) · Brain Structure and Function · doi:10.1007/s00429-014-0806-9 · Cited by 99 · see citing works

An empirical comparison of surface-based and volume-based group studies in neuroimaging

Tucholka, A., Fritsch, V., Poline, J., & Thirion, B. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.019 · Cited by 92 · see citing works

ConnectomeDB—Sharing human brain connectivity data

Hodge, M. R., HORTON, W. G., Brown, T. T., Herrick, R., Olsen, T., Hileman, M., McKay, M., Archie, K. A., Cler, E. A., Harms, M. P., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.04.046 · Cited by 90 · see citing works

The Brain Analysis Library of Spatial maps and Atlases (BALSA) database

Van Essen, D. C., Smith, J., Glasser, M. F., Elam, J., Donahue, C. J., Dierker, D. L., Reid, E. K., Coalson, T., & Harwell, J. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.002 · Cited by 89 · see citing works

The transition in the ventral stream from feature to real-world entity representations

Orban, G. A., Zhu, Q., & Vanduffel, W. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00695 · Cited by 43 · see citing works

Comparing Like with Like: The Power of Knowing Where You Are

Turner, R., & Geyer, S. (2014) · Brain Connectivity · doi:10.1089/brain.2014.0261 · Cited by 41 · see citing works

18 years of science with the Hubble Space Telescope

Dalcanton, J. J. (2008) · Nature · doi:10.1038/nature07621 · Cited by 20 · see citing works

Introduction to the NeuroImage Special Issue “Mapping the Connectome”

Smith, S. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.07.012 · Cited by 16 · see citing works

Where Matters: New Approaches to Brain Analysis

Turner, R. (2013) · Springer eBooks · doi:10.1007/978-3-642-37824-9_6 · Cited by 10 · see citing works

Where Matters: New Approaches to Brain Analysis

Turner, R. W., II (2013) · Springer eBooks · doi:10.1007/978-3-662-45766-5_6 · Cited by 3 · see citing works

High-resolution intersubject averaging and a coordinate system for the cortical surface

Fischl, B., Sereno, M. I., Tootell, R. B. H., & Dale, A. M. (1999) · Human Brain Mapping · doi:10.1002/(sici)1097-0193(1999)8:4

A multi-modal parcellation of human cerebral cortex

Glasser, M. F., Coalson, T. S., Robinson, E. C., Hacker, C. D., Harwell, J., Yacoub, E., Ugurbil, K., Andersson, J., Beckmann, C. F., Jenkinson, M., et al. (2016) · Nature · doi:10.1038/nature18933 · Cited by 5,111 · see citing works

Neuroscience-Inspired Artificial Intelligence

Hassabis, D., Kumaran, D., Summerfield, C., & Botvinick, M. (2017) · Neuron · doi:10.1016/j.neuron.2017.06.011 · Cited by 1,557 · see citing works

Tractography-based connectomes are dominated by false-positive connections

Maier-Hein, K. H., Neher, P., Houde, J.-C., Côté, M.-A., Garyfallidis, E., Zhong, J., Chamberland, M., Yeh, F.-C., Lin, Y.-C., Ji, Q., et al. (2016) · doi:10.1101/084137 · Cited by 1,361 · see citing works

Best practices in data analysis and sharing in neuroimaging using MRI

Nichols, T. E., Das, S., Eickhoff, S. B., Evans, A. C., Glatard, T., Hanke, M., Kriegeskorte, N., Milham, M. P., Poldrack, R. A., Poline, J.-B., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4500 · Cited by 714 · see citing works

Generative modeling of brain maps with spatial autocorrelation

Burt, J. B., Helmer, M., Shinn, M., Anticevic, A., & Murray, J. D. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117038 · Cited by 528 · see citing works

The inferior parietal lobule and temporoparietal junction: A network perspective

Igelström, K. M., & Graziano, M. S. A. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.01.001 · Cited by 367 · see citing works

Towards a new approach to reveal dynamical organization of the brain using topological data analysis

Saggar, M., Sporns, O., Gonzalez-Castillo, J., Bandettini, P. A., Carlsson, G., Glover, G., & Reiss, A. L. (2018) · Nature Communications · doi:10.1038/s41467-018-03664-4 · Cited by 253 · see citing works

BigBrain 3D atlas of cortical layers: cortical and laminar thickness gradients diverge in sensory and motor cortices

Wagstyl, K., Larocque, S., Cucurull, G., Lepage, C., Cohen, J. P., Bludau, S., Palomero-Gallagher, N., Lewis, L. B., Funck, T., Spitzer, H., et al. (2020) · PLOS Biology · doi:10.1371/journal.pbio.3000678 · Cited by 218 · see citing works

Tractography dissection variability: what happens when 42 groups dissect 14 white matter bundles on the same dataset?

Schilling, K. G., Rheault, F., Petit, L., Hansen, C. B., Nath, V., Yeh, F.-C., Girard, G., Barakovic, M., Rafael-Patino, J., Yu, T., et al. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118502 · Cited by 182 · see citing works

Revisiting the global workspace orchestrating the hierarchical organization of the human brain

Deco, G., Vidaurre, D., & Kringelbach, M. L. (2021) · Nature Human Behaviour · doi:10.1038/s41562-020-01003-6 · Cited by 162 · see citing works

Considering Sex as a Biological Variable in Basic and Clinical Studies: An Endocrine Society Scientific Statement

Bhargava, A., Arnold, A. P., Bangasser, D. A., Denton, K. M., Gupta, A., Hilliard Krause, L. M., Mayer, E. A., McCarthy, M., Miller, W. L., Raznahan, A., et al. (2021) · Endocrine Reviews · doi:10.1210/endrev/bnaa034 · Cited by 130 · see citing works

Neurite orientation dispersion and density imaging of mouse brain microstructure

Wang, N., Zhang, J., Cofer, G., Qi, Y., Anderson, R. J., White, L. E., & Allan Johnson, G. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01877-x · Cited by 69 · see citing works

Climbing Brain Levels of Organisation from Genes to Consciousness

Changeux, J.-P. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.01.004 · Cited by 61 · see citing works

Morphological and functional variability in central and subcentral motor cortex of the human brain

Eichert, N., Watkins, K. E., Mars, R. B., & Petrides, M. (2021) · Brain Structure and Function · doi:10.1007/s00429-020-02180-w · Cited by 58 · see citing works

Fiber length profiling: a novel approach to structural brain organization

Bajada, C. J., Schreiber, J., & Caspers, S. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.070 · Cited by 55 · see citing works

A connectomic analysis of deep brain stimulation for treatment-resistant depression

Zhu, Z., Hubbard, E., Guo, X., Barbosa, D. A. N., Popal, A. M., Cai, C., Jiang, H., Zheng, Z., Lin, J., Gao, W., et al. (2021) · Brain Stimulation · doi:10.1016/j.brs.2021.08.010 · Cited by 37 · see citing works

Global scientific trends in healthy aging in the early 21st century: A data-driven scientometric and visualized analysis

Zhang, Y., Gu, Z., Xu, Y., He, M., Gerber, B. S., Wang, Z., Liu, F., & Peng, C. (2024) · Heliyon · doi:10.1016/j.heliyon.2023.e23405 · Cited by 26 · see citing works

The human middle temporal cortex responds to both active leg movements and egomotion-compatible visual motion

Sulpizio, V., Strappini, F., Fattori, P., Galati, G., Galletti, C., Pecchinenda, A., & Pitzalis, S. (2022) · Brain Structure and Function · doi:10.1007/s00429-022-02549-z · Cited by 12 · see citing works

The role of spatial embedding in mouse brain networks constructed from diffusion tractography and tracer injections

Trinkle, S., Foxley, S., Wildenberg, G., Kasthuri, N., & La Rivière, P. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118576 · Cited by 8 · see citing works

The braingraph.org database with more than 1000 robust human connectomes in five resolutions

Varga, B., & Grolmusz, V. I. (2021) · Cognitive Neurodynamics · doi:10.1007/s11571-021-09670-5 · Cited by 7 · see citing works

A cognitive state transformation model for task-general and task-specific subsystems of the brain connectome

Yoo, K., Rosenberg, M. D., Kwon, Y. H., Scheinost, D., Constable, R. T., & Chun, M. M. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119279 · Cited by 14 · see citing works

High-resolution directed human connectomes and the Consensus Connectome Dynamics

Szalkai, B., Kerepesi, C., Varga, B., & Grolmusz, V. (2016) · PLoS ONE · doi:10.1371/journal.pone.0215473 · Cited by 28 · see citing works

Optimized Diffusion Imaging for Brain Structural Connectome AnalysisPreprint

Consagra, W., Venkataraman, A., & Zhang, Z. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2102.12526

Fingerprinting and behavioural prediction rest on distinct functional systems of the human connectomePreprint

Mantwill, M., Gell, M., Krohn, S., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.02.07.429922 · Cited by 6 · see citing works