The DOI matches its Crossref record; 97 of the 97 references it cites were found in a registry or an index.
Mapping putative hubs in human, chimpanzee and rhesus macaque connectomes via diffusion tractography
Open accessAbstract
Mapping anatomical brain networks with graph-theoretic analysis of diffusion tractography has recently gained popularity, because of its presumed value in understanding brain function. However, this approach has seldom been used to compare brain connectomes across species, which may provide insights into brain evolution. Here, we employed a data-driven approach to compare interregional brain connections across three primate species: 1) the intensively studied rhesus macaque, 2) our closest living primate relative, the chimpanzee, and 3) humans. Specifically, we first used random parcellations and surface-based probabilistic diffusion tractography to derive the brain networks of the three species under various network densities and resolutions. We then compared the characteristics of the networks using graph-theoretic measures. In rhesus macaques, our tractography-defined hubs showed reasonable overlap with hubs previously identified using anterograde and retrograde tracer data. Across all three species, hubs were largely symmetric in the two hemispheres and were consistently identified in medial parietal, insular, retrosplenial cingulate and ventrolateral prefrontal cortices, suggesting a conserved structural architecture within these regions. However, species differences were observed in the inferior parietal cortex, polar and medial prefrontal cortices. The potential significance of these interspecies differences is discussed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“and, to some extent, across species [5]”
From Functional connectomics from resting-state fMRI (2013) · cites this paper as [5]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
Complex brain networks: graph theoretical analysis of structural and functional systems
Bullmore, E., & Sporns, O. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2575 · Cited by 11,820
Complex network measures of brain connectivity: Uses and interpretations
Rubinov, M., & Sporns, O. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.003 · Cited by 11,522
Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496
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
Zhang, Y., Brady, M., & Smith, S. M. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.906424 · Cited by 7,628
Dissociable intrinsic connectivity networks for salience processing and executive control
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., Reiss, A. L., & Greicius, M. D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5587-06.2007 · Cited by 7,426
Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0135058100 · Cited by 6,358
How do you feel? Interoception: The sense of the physiological condition of the body
Craig, A. D. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn894 · Cited by 6,006
Saliency, switching, attention and control: a network model of insula function
Menon, V., & Uddin, L. Q. (2010) · Brain Structure and Function · doi:10.1007/s00429-010-0262-0 · Cited by 5,592
Mapping the structural core of human cerebral cortex
Hagmann, P., Cammoun, L., Gigandet, X., Meuli, R., Honey, C. J., Wedeen, V. J., & Sporns, O. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060159 · Cited by 4,173
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 3,483
Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?
Behrens, T. E. J., Berg, H. J., Jbabdi, S., Rushworth, M. F. S., & Woolrich, M. W. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.018 · Cited by 3,471
Andersson, J. L. R., Skare, S., & Ashburner, J. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00336-7 · Cited by 3,469
SUSAN—a new approach to low level image processing
Smith, S. M., & Brady, J. M. (1997) · International Journal of Computer Vision · doi:10.1023/a:1007963824710 · Cited by 3,333
Predicting human resting-state functional connectivity from structural connectivity
Honey, C. J., Sporns, O., Cammoun, L., Gigandet, X., Thiran, J. P., Meuli, R., & Hagmann, P. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811168106 · Cited by 3,307
The Human Connectome: A Structural Description of the Human Brain
Sporns, O., Tononi, G., & Kötter, R. (2005) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0010042 · Cited by 3,260
Characterization and propagation of uncertainty in diffusion-weighted MR imaging
Behrens, T. E. J., Woolrich, M. W., Jenkinson, M., Johansen‐Berg, H., Nunes, R. G., Clare, S., Matthews, P. M., Brady, J. M., & Smith, S. M. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10609 · Cited by 3,038
Buckner, R. L., Sepulcre, J., Talukdar, T., Krienen, F. M., Liu, H., Hedden, T., Andrews-Hanna, J. R., Sperling, R. A., & Johnson, K. A. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.5062-08.2009 · Cited by 2,862
Ongur, D. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.3.206 · Cited by 2,627
Interoception: the sense of the physiological condition of the body
(Bud) Craig, A. (2003) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(03)00090-4 · Cited by 2,556 · cited 1×
“The common insula hub in macaques, chimpanzees and humans The anterior insula that was consistently identified as a tractography hub in our study is documented as visceral somatosensory cortex that receives feedback from the body (Craig, 2002, 2003; Critchley, 2005).”
Efficiency and Cost of Economical Brain Functional Networks
Achard, S., & Bullmore, E. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030017 · Cited by 2,553
Rich-club organization of the human connectome
van den Heuvel, M. P., & Sporns, O. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.3539-11.2011 · Cited by 2,354
Intrinsic functional architecture in the anaesthetized monkey brain
Vincent, J. L., Patel, G. H., Fox, M. D., Snyder, A. Z., Baker, J. T., Van Essen, D. C., Zempel, J. M., Snyder, L. H., Corbetta, M., & Raichle, M. E. (2007) · Nature · doi:10.1038/nature05758 · Cited by 1,786
A diffusion tensor imaging tractography atlas for virtual in vivo dissections.
CATANI, M., & THIEBAUTDESCHOTTEN, M. (2008) · Cortex · doi:10.1016/j.cortex.2008.05.004 · Cited by 1,642
Small-World Anatomical Networks in the Human Brain Revealed by Cortical Thickness from MRI
Yong He, A., Chen, Z. J., & Evans, A. C. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhl149 · Cited by 1,367
Neural mechanisms of autonomic, affective, and cognitive integration
Critchley, H. D. (2005) · Journal of Comparative Neurology · doi:10.1002/cne.20749 · Cited by 1,214
Whole-brain anatomical networks: does the choice of nodes matter?
Zalesky, A., Fornito, A., Harding, I. H., Cocchi, L., Yücel, M., Pantelis, C., & Bullmore, E. T. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.027 · Cited by 1,169
Identification and classification of hubs in brain networks
Sporns, O., Honey, C. J., & Kötter, R. (2007) · PLoS ONE · doi:10.1371/journal.pone.0001049 · Cited by 1,165
Comparing Brain Networks of Different Size and Connectivity Density Using Graph Theory
van Wijk, B. C. M., Stam, C. J., & Daffertshofer, A. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013701 · Cited by 1,161
Gong, G., He, Y., Concha, L., Lebel, C., Gross, D. W., Evans, A. C., & Beaulieu, C. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn102 · Cited by 1,112
An Integrated Software Suite for Surface-based Analyses of Cerebral Cortex
Essen, D. C. V., Drury, H. A., Dickson, J., Harwell, J., Hanlon, D., & Anderson, C. H. (2001) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2001.0080443 · Cited by 1,100
The Rhesus Monkey Brain in Stereotaxic Coordinates
Paxinos, G., Huang, X., & Toga, A. W. (1999) · Research Online (University of Wollongong) · Cited by 1,070
Precuneus shares intrinsic functional architecture in humans and monkeys
Margulies, D. S., Vincent, J. L., Kelly, C., Lohmann, G., Uddin, L. Q., Biswal, B. B., Villringer, A., Castellanos, F. X., Milham, M. P., & Petrides, M. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905314106 · Cited by 965 · cited 3×
“Moreover, evidence from a resting-state fMRI study also suggested that humans andmacaquesmay share similar intrinsic functional architecture at the precuneus (Margulies et al., 2009).”
Architectonic subdivision of the human orbital and medial prefrontal cortex
Öngür, D., Ferry, A. T., & Price, J. L. (2003) · Journal of Comparative Neurology · doi:10.1002/cne.10609 · Cited by 944
A Weighted and Directed Interareal Connectivity Matrix for Macaque Cerebral Cortex
Markov, N. T., Ercsey-Ravasz, M. M., Ribeiro Gomes, A. R., Lamy, C., Magrou, L., Vezoli, J., Misery, P., Falchier, A., Quilodran, R., Gariel, M. A., et al. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhs270 · Cited by 857
Seed, A. M., & Tomasello, M. (2010) · Topics in Cognitive Science · doi:10.1111/j.1756-8765.2010.01099.x · Cited by 854
Neuroimaging of cognitive functions in human parietal cortex
Culham, J. C., & Kanwisher, N. (2001) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(00)00191-4 · Cited by 825
The evolution of the arcuate fasciculus revealed with comparative DTI
Rilling, J. K., Glasser, M. F., Preuss, T. M., Ma, X., Zhao, T., Hu, X., & Behrens, T. E. J. (2008) · Nature Neuroscience · doi:10.1038/nn2072 · Cited by 767
Self-citationvan den Heuvel, M. P., Stam, C. J., Boersma, M., & Pol, H. E. H. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.08.010 · Cited by 745
van den Heuvel, M. P., Mandl, R. C. W., Stam, C. J., Kahn, R. S., & Pol, H. E. H. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.2874-10.2010 · Cited by 677
Parcellation‐dependent small‐world brain functional networks: A resting‐state fMRI study
Wang, J., Wang, L. Y., Zang, Y., Yang, H., Tang, H., Gong, Q., Chen, Z., Zhu, C., & Yong He, A. (2008) · Human Brain Mapping · doi:10.1002/hbm.20623 · Cited by 670
Age- and Gender-Related Differences in the Cortical Anatomical Network
Gong, G., Rosa‐Neto, P., Carbonell, F., Chen, Z. J., Yong He, A., & Evans, A. C. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.2308-09.2009 · Cited by 641
Astafiev, S. V., Shulman, G. L., Stanley, C. M., Snyder, A. Z., Van Essen, D. C., & Corbetta, M. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-11-04689.2003 · Cited by 640
Can structure predict function in the human brain?
Honey, C. J., Thivierge, J.-P., & Sporns, O. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.071 · Cited by 629
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
Self-citationBrain Anatomical Network and Intelligence
Li, Y., Liu, Y., Li, J., Qin, W., Li, K., Yu, C., & Jiang, T. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000395 · Cited by 597
Identifying the brain's most globally connected regions
Cole, M. W., Pathak, S., & Schneider, W. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.11.001 · Cited by 572
Imaging cortical association tracts in the human brain using diffusion‐tensor‐based axonal tracking
Mori, S., Kaufmann, W. E., Davatzikos, C. A., Stieltjes, B., Amodei, L., Fredericksen, K., Pearlson, G. D., Melhem, E. R., Solaiyappan, M., Raymond, G. V., et al. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10074 · Cited by 558
Surface-Based and Probabilistic Atlases of Primate Cerebral Cortex
Essen, D. C. V., & Dierker, D. L. (2007) · Neuron · doi:10.1016/j.neuron.2007.10.015 · Cited by 540
Eigenvector Centrality Mapping for Analyzing Connectivity Patterns in fMRI Data of the Human Brain
Lohmann, G., Margulies, D. S., Horstmann, A., Pleger, B., Lepsien, J., Goldhahn, D., Schloegl, H., Stümvoll, M., Villringer, A., & Turner, R. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010232 · Cited by 507
Studying the human brain anatomical network via diffusion-weighted MRI and graph theory
Iturria-Medina, Y., Sotero, R. C., Canales-Rodríguez, E. J., Alemán-Gómez, Y., & Melie-García, L. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.10.060 · Cited by 506
Vogt, B. A., & Laureys, S. (2005) · Progress in brain research · doi:10.1016/s0079-6123(05)50015-3 · Cited by 497
Mapping the human connectome at multiple scales with diffusion spectrum MRI
Cammoun, L., Gigandet, X., Meskaldji, D. E., Thiran, J., Sporns, O., Kim, Q., Maeder, P. P., Meuli, R. A., & Hagmann, P. (2011) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2011.09.031 · Cited by 451
Current concepts in neuroanatomical tracing
Köbbert, C., Apps, R., Bechmann, I., Lanciego, J. L., Mey, J., & Thanos, S. (2000) · Progress in Neurobiology · doi:10.1016/s0301-0082(00)00019-8 · Cited by 419
Prefrontal white matter volume is disproportionately larger in humans than in other primates
Schoenemann, P. T., Sheehan, M. J., & Glotzer, L. D. (2005) · Nature Neuroscience · doi:10.1038/nn1394 · Cited by 406
The primate neocortex in comparative perspective using magnetic resonance imaging
Rilling, J. K., & Insel, T. R. (1999) · Journal of Human Evolution · doi:10.1006/jhev.1999.0313 · Cited by 406
Self-citationSpatial cognition : brain bases and development
Stiles-Davis, J., Kritchevsky, M., & Bellugi, U. (1988) · Medical Entomology and Zoology · Cited by 399
Advanced database methodology for the Collation of Connectivity data on the Macaque brain (CoCoMac).
Stephan, K. E., Kamper, L., Bozkurt, A., Burns, G. A., Young, M. P., & Kötter, R. (2001) · Philosophical transactions of the Royal Society of London. Series B, Biological sciences · doi:10.1098/rstb.2001.0908 · Cited by 394
Weight consistency specifies regularities of macaque cortical networks
Markov, N. T., Misery, P., Falchier, A., Lamy, C., Vezoli, J., Quilodran, R., Gariel, M. A., Giroud, P., Ercsey-Ravasz, M., Pilaz, L. J., et al. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq201 · Cited by 386
Conserved and variable architecture of human white matter connectivity
Bassett, D., Brown, J. A., Deshpande, V., Carlson, J., & Grafton, S. T. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.006 · Cited by 380
A tutorial in connectome analysis: Topological and spatial features of brain networks
Kaiser, M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.025 · Cited by 371
Rich Club Organization of Macaque Cerebral Cortex and Its Role in Network Communication
Harriger, L., van den Heuvel, M. P., & Sporns, O. (2012) · PLoS ONE · doi:10.1371/journal.pone.0046497 · Cited by 309
Concepts and principles in the analysis of brain networks
Wig, G. S., Schlaggar, B. L., & Petersen, S. E. (2011) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2010.05947.x · Cited by 295
Network architecture of the long-distance pathways in the macaque brain
Modha, D. S., & Singh, R. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1008054107 · Cited by 283
The organization of neural systems in the primate cerebral cortex
Young, M. P. (1993) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.1993.0040 · Cited by 276
Denys, K., Vanduffel, W., Fize, D., Nelissen, K., Peuskens, H., Essen, D. C. V., & Orban, G. A. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.3569-03.2004 · Cited by 274
Characterizing the Dynamical Importance of Network Nodes and Links
Restrepo, J. G., Ott, E., & Hunt, B. R. (2006) · Physical Review Letters · doi:10.1103/physrevlett.97.094102 · Cited by 257
Caspers, S., Eickhoff, S. B., Rick, T., von Kapri, A., Kuhlen, T., Huang, R., Shah, N. J., & Zilles, K. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.06.027 · Cited by 254
Iturria‐Medina, Y., Fernández, A. P., Morris, D. M., Canales-Rodríguez, E. J., Haroon, H. A., García‐Pentón, L., Augath, M. A., García, L. G., Logothetis, N. K., Parker, G. J. M., et al. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhq058 · Cited by 213
Schenker-Ahmed, N. M., Hopkins, W. D., Spocter, M. A., Garrison, A. R., Stimpson, C. D., Erwin, J. M., Hof, P. R., & Sherwood, C. C. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp138 · Cited by 212
Cortical parcellations of the macaque monkey analyzed on surface-based atlases.
van Essen, D., Glasser, M., Dierker, D. L., & Harwell, J. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr290 · Cited by 198
Self-citationA comparison of resting-state brain activity in humans and chimpanzees
Rilling, J. K., Barks, S. K., Parr, L. A., Preuss, T. M., Faber, T. L., Pagnoni, G., Bremner, J. D., & Votaw, J. R. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0705132104 · Cited by 197
Self-citationBastiani, M., Shah, N. J., Goebel, R., & Roebroeck, A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.002 · Cited by 192
How good is the macaque monkey model of the human brain?
Passingham, R. (2009) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2009.01.002 · Cited by 181
Hecht, E. E., Gutman, D. A., Preuss, T. M., Sánchez, M. M., Parr, L. A., & Rilling, J. K. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs097 · Cited by 177
Self-citationRombouts, S. A. R. B., Barkhof, F., Hoogenraad, F. G. C., Sprenger, M., & Scheltens, P. (1998) · Magnetic Resonance Imaging · doi:10.1016/s0730-725x(97)00253-1 · Cited by 169
The isocortex of the chimpanzee.
Bailey, P., von Bonin, G., & McCulloch, W. S. (1950) · Medical Entomology and Zoology · Cited by 161
Altered Anatomical Network in Early Blindness Revealed by Diffusion Tensor Tractography
Shu, N., Liu, Y., Li, J., Li, Y., Yu, C., & Jiang, T. (2009) · PLoS ONE · doi:10.1371/journal.pone.0007228 · Cited by 153
Resting-state networks in the macaque at 7T
Hutchison, R. M., Leung, L.-W. S., Mirsattari, S. M., Gati, J. S., Menon, R. S., & Everling, S. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.063 · Cited by 141
Mapping brains without coordinates
Kötter, R., & Wanke, E. (2005) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2005.1625 · Cited by 137
The human brain: rewired and running hot
Preuss, T. M. (2011) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2011.06001.x · Cited by 132
Self-citationMantini, D., Hasson, U., Betti, V., Perrucci, M. G., Romani, G. L., Corbetta, M., Orban, G. A., & Vanduffel, W. (2012) · Nature Methods · doi:10.1038/nmeth.1868 · Cited by 120
Edge vulnerability in neural and metabolic networks
Kaiser, M., & Hilgetag, C. C. (2004) · Biological Cybernetics · doi:10.1007/s00422-004-0479-1 · Cited by 109
Spocter, M. A., Hopkins, W. D., Garrison, A. R., Bauernfeind, A. L., Stimpson, C. D., Hof, P. R., & Sherwood, C. C. (2010) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2010.0011 · Cited by 107
Li, L., Rilling, J. K., Preuss, T. M., Glasser, M. F., & Hu, X. P. (2011) · Human Brain Mapping · doi:10.1002/hbm.21332 · Cited by 102
Self-citationA mathematical approach to the connectivity between the cortical visual areas of the macaque monkey
Jouve, B. (1998) · Cerebral Cortex · doi:10.1093/cercor/8.1.28 · Cited by 83
Towards the “Baby Connectome”: Mapping the Structural Connectivity of the Newborn Brain
Tymofiyeva, O., Hess, C. P., Ziv, E., Tian, N., Bonifacio, S. L., McQuillen, P. S., Ferriero, D. M., Barkovich, A. J., & Xu, D. (2012) · PLoS ONE · doi:10.1371/journal.pone.0031029 · Cited by 80
Visual Activation in Prefrontal Cortex is Stronger in Monkeys than in Humans
Denys, K., Vanduffel, W., Fize, D., Nelissen, K., Sawamura, H., Georgieva, S., Vogels, R., Essen, D. C. V., & Orban, G. A. (2004) · Journal of Cognitive Neuroscience · doi:10.1162/0898929042568505 · Cited by 73
Kojima, T., Onoe, H., Hikosaka, K., Tsutsui, K., Tsukada, H., & Watanabe, M. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.1786-09.2009 · Cited by 68
Bezgin, G., Vakorin, V. A., van Opstal, A. J., McIntosh, A. R., & Bakker, R. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.04.013 · Cited by 63
Data-driven analysis of analogous brain networks in monkeys and humans during natural vision
Mantini, D., Corbetta, M., Romani, G. L., Orban, G. A., & Vanduffel, W. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.08.042 · Cited by 43
Li, L., Rilling, J. K., Preuss, T. M., Glasser, M. F., Damen, F. W., & Hu, X. P. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.071 · Cited by 40
Self-citationBasser (2000) · doi:10.1002/1522-2594(200010)44:4
Research works printed but not linked: 2
- Brodmann, 1913, Neue Forchungsergebnisse der Grosshirnrindeanatomische mit besonderer Berucksichtung anthropologischer Fragen, Gesselch. Deuts. Naturf. Artze., 85, 200
- Li, 2011, The effects of connection reconstruction method on the interregional connectivity of brain networks via diffusion tractography, Hum. Brain Mapp.
Cited by
Sorted by citations
Bassett, D. S., & Sporns, O. (2017) · Nature Neuroscience · doi:10.1038/nn.4502 · Cited by 2,398
Network hubs in the human brain
van den Heuvel, M. P., & Sporns, O. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.09.012 · Cited by 2,123
Functional connectomics from resting-state fMRI
Smith, S. M., Vidaurre, D., Beckmann, C. F., Glasser, M. F., Jenkinson, M., Miller, K. L., Nichols, T. E., Robinson, E. C., Salimi-Khorshidi, G., Woolrich, M. W., et al. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.09.016 · Cited by 952
Self-citationContributions and challenges for network models in cognitive neuroscience
Sporns, O. (2014) · Nature Neuroscience · doi:10.1038/nn.3690 · Cited by 767
Cortical Evolution: Judge the Brain by Its Cover
Geschwind, D. H., & Rakic, P. (2013) · Neuron · doi:10.1016/j.neuron.2013.10.045 · Cited by 519
Metadata
- Authors
- Li, L., Hu, X., Preuss, T. M., Glasser, M. F., Damen, F. W., Qiu, Y., & Rilling, J.
- Affiliations
- Georgia Institute of Technology (US)
- Emory University (US)
- Washington University in St. Louis (US)
- Corresponding author
- Rilling, James
- ORCID
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 80
- Pages
- 462-474
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC3720835
- OpenAlex
- W1979383653
- Cited by
- 109
- References
- 96
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 9 · 2023: 6 · 2022: 4 · 2021: 6 · 2020: 10 · 2019: 11 · 2018: 13 · 2017: 11 · 2016: 10 · 2015: 6 · 2014: 12 · 2013: 4
- FWCI
- 8.28
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- NIH (5P01 AG026423-03, P50-MH100029)
- National Center for Research Resources (P51RR165)
- Office of Research Infrastructure Programs (P51OD11132)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Keywords
- brain connectome, diffusion tractography, primate brain evolution, human-brain comparison, chimpanzees, rhesus monkeys, probabilistic tractography, hemispheric symmetry, prefrontal cortex, parietal cortex, insula, retrosplenial cortex
- MeSH terms
- Animals, Brain, Pan troglodytes, Humans, Macaca mulatta, Models, Anatomic, Models, Neurological, Nerve Fibers, Myelinated, Nerve Net, Species Specificity, Diffusion Tensor Imaging, Connectome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review