The topographic connectome
Open accessAbstract
Central to macro-connectomics and much of systems neuroscience is the idea that we can summarise macroscopic brain connectivity using a network of 'nodes' and 'edges'--functionally distinct brain regions and the connections between them. This is an approach that allows a deep understanding of brain dynamics and how they relate to brain circuitry. This approach, however, ignores key features of anatomical connections, such as spatial arrangement and topographic mappings. In this article, we suggest an alternative to this paradigm. We propose that connection topographies can inform us about brain networks in ways that are complementary to the concepts of 'nodes' and 'edges'. We also show that current neuroimaging technology is capable of revealing details of connection topographies in vivo. These advances, we hope, will allow us to explore brain connectivity in novel ways in the immediate future.
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
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?
The principal gradient illustrates a broader topographic organization of large-scale connectivity that accounts for the spatial arrangement of local processing streams throughout the cerebral cortex.
“The principal gradient illustrates a broader topographic organization of large-scale connectivity [38] that accounts for the spatial arrangement of local processing streams throughout the cerebral cortex.”
From Situating the default-mode network along a principal gradient of macroscale cortical organization (2016) · cites this paper as [38]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
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
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
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
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 · see citing works
The Human Connectome Project: A data acquisition perspective
Essen, D. C. V., Uǧurbil, K., Auerbach, E. J., Barch, D. M., Behrens, T. E. J., Bucholz, R. D., Chang, A., Chen, L., Corbetta, M., Curtiss, S. W., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.018 · Cited by 2,605 · see citing works
Self-citationNon-invasive mapping of connections between human thalamus and cortex using diffusion imaging
Behrens, T. E. J., Johansen-Berg, H., Woolrich, M. W., Smith, S. M., Wheeler-Kingshott, C. A. M., Boulby, P. A., Barker, G. J., Sillery, E. L., Sheehan, K., Ciccarelli, O., et al. (2003) · Nature Neuroscience · doi:10.1038/nn1075 · Cited by 2,330 · see citing works
Self-citationResting-State Functional Connectivity Reflects Structural Connectivity in the Default Mode Network
Greicius, M. D., Supekar, K., Menon, V., & Dougherty, R. F. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn059 · Cited by 2,175 · see citing works
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 · see citing works
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 · see citing works
The primate basal ganglia: Parallel and integrative networks
Haber, S. N. (2003) · Journal of Chemical Neuroanatomy · doi:10.1016/j.jchemneu.2003.10.003 · Cited by 1,479 · see citing works
Visual field maps in human cortex.
Wandell, B. A., Dumoulin, S. O., & Brewer, A. A. (2007) · Neuron · doi:10.1016/j.neuron.2007.10.012 · Cited by 1,231 · cited 2× · see citing works
“For example, retinotopic maps in the visual cortex can simply be obtained by stimulating the retina using a periodic stimulus that sweeps the visual field in an orderly fashion [4,12].”
The functional logic of cortical connections
Zeki, S., & Shipp, S. (1988) · Nature · doi:10.1038/335311a0 · Cited by 1,067 · cited 1× · see citing works
“This view highlights the principle that brain function is determined by the properties of brain circuitry, and is a powerful approach to studying relationships between structure and function [3].”
Temporally-independent functional modes of spontaneous brain activity
Smith, S. M., Miller, K. L., Moeller, S., Xu, J., Auerbach, E. J., Woolrich, M. W., Beckmann, C. F., Jenkinson, M., Andersson, J., Glasser, M. F., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1121329109 · Cited by 702 · see citing works
Center–periphery organization of human object areas
Levy, I., Hasson, U., Avidan, G., Hendler, T., & Malach, R. (2001) · Nature Neuroscience · doi:10.1038/87490 · Cited by 687 · see citing works
An unfolded map of the cerebellar dentate nucleus and its projections to the cerebral cortex
Dum, R. P., & Strick, P. L. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00626.2002 · Cited by 684 · see citing works
Changes in connectivity profiles define functionally distinct regions in human medial frontal cortex
Johansen‐Berg, H., Behrens, T. E. J., Robson, M. D., Drobnjak, I., Rushworth, M. F. S., Brady, J. M., Smith, S. M., Higham, D. J., & Matthews, P. M. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0403743101 · Cited by 684 · see citing works
Self-citationCan 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 · see citing works
Schall, J. D., Morel, A., King, D., & Bullier, J. (1995) · Journal of Neuroscience · doi:10.1523/jneurosci.15-06-04464.1995 · Cited by 625 · see citing works
Tractography: Where Do We Go from Here?
Jbabdi, S., & Johansen-Berg, H. (2011) · Brain Connectivity · doi:10.1089/brain.2011.0033 · Cited by 614 · see citing works
Self-citationSuzuki, W., & Amaral, D. (1994) · Journal of Neuroscience · doi:10.1523/jneurosci.14-03-01856.1994 · Cited by 587 · see citing works
Centenary of Brodmann's map — conception and fate
Zilles, K., & Amunts, K. (2010) · Nature reviews. Neuroscience · doi:10.1038/nrn2776 · Cited by 584 · see citing works
Topographic maps in human frontal and parietal cortex
Silver, M. A., & Kästner, S. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.08.005 · Cited by 549 · see citing works
Connectivity-Based Parcellation of Broca's Area
Anwander, A., Tittgemeyer, M., von Cramon, D., Friederici, A., & Knosche, T. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhk034 · Cited by 531 · see citing works
Mars, R. B., Sallet, J., Schuffelgen, U., Jbabdi, S., Toni, I., & Rushworth, M. F. S. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr268 · Cited by 520 · see citing works
Self-citationTopographic Maps of Visual Spatial Attention in Human Parietal Cortex
Silver, M. A., Ress, D. B., & Heeger, D. J. (2005) · Journal of Neurophysiology · doi:10.1152/jn.01316.2004 · Cited by 482 · see citing works
Topographic Maps are Fundamental to Sensory Processing
Kaas, J. H. (1997) · Brain Research Bulletin · doi:10.1016/s0361-9230(97)00094-4 · Cited by 478 · see citing works
Mars, R. B., Jbabdi, S., Sallet, J., O’Reilly, J. X., Croxson, P. L., Olivier, E., Noonan, M. P., Bergmann, C., Mitchell, A. S., Baxter, M. G., et al. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.5102-10.2011 · Cited by 472 · see citing works
Self-citationHuman Motor Corpus Callosum: Topography, Somatotopy, and Link between Microstructure and Function
Wahl, M., Lauterbach-Soon, B., Hattingen, E., Jung, P., Singer, O. C., Volz, S., Klein, J. C., Steinmetz, H., & Ziemann, U. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.2320-07.2007 · Cited by 437 · see citing works
A Gustotopic Map of Taste Qualities in the Mammalian Brain
Chen, X., Gabitto, M., Peng, Y., Ryba, N. J. P., & Zuker, C. S. (2011) · Science · doi:10.1126/science.1204076 · Cited by 379 · 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
Retinotopic Organization of Human Ventral Visual Cortex
Arcaro, M. J., McMains, S. A., Singer, B. D., & Kästner, S. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.2807-09.2009 · Cited by 348 · see citing works
Noninvasive Functional and Structural Connectivity Mapping of the Human Thalamocortical System
Zhang, D., Snyder, A. Z., Shimony, J. S., Fox, M., & Raichle, M. E. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp182 · Cited by 344 · see citing works
Multi-level bootstrap analysis of stable clusters in resting-state fMRI
Bellec, P., Rosa‐Neto, P., Lyttelton, O. C., Benali, H., & Evans, A. C. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.082 · Cited by 335 · see citing works
Tomassini, V., Jbabdi, S., Klein, J. C., Behrens, T. E. J., Pozzilli, C., Matthews, P. M., Rushworth, M. F. S., & Johansen‐Berg, H. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.2144-07.2007 · Cited by 322 · see citing works
Self-citationA human parietal face area contains aligned head-centered visual and tactile maps
Sereno, M. I., & Huang, R.-S. (2006) · Nature Neuroscience · doi:10.1038/nn1777 · Cited by 322 · see citing works
Mapping Behavioral Repertoire onto the Cortex
Graziano, M. S. A., & Aflalo, T. (2007) · Neuron · doi:10.1016/j.neuron.2007.09.013 · Cited by 319 · see citing works
Anatomical connectivity patterns predict face selectivity in the fusiform gyrus
Saygin, Z. M., Osher, D. E., Koldewyn, K., Reynolds, G., Gabrieli, J. D. E., & Saxe, R. R. (2011) · Nature Neuroscience · doi:10.1038/nn.3001 · Cited by 318 · see citing works
Cortical Connections of Area V4 in the Macaque
Ungerleider, L. G., Galkin, T. W., Desimone, R., & Gattass, R. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhm061 · Cited by 312 · see citing works
Udin, S. B., & Fawcett, J. W. (1988) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.11.030188.001445 · Cited by 309 · see citing works
Tonotopic organization of human auditory cortex
Humphries, C., Liebenthal, E., & Binder, J. R. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.046 · Cited by 297 · see citing works
Haber, S. N., Lynd‐Balta, E., Klein, C. M., & Groenewegen, H. J. (1990) · The Journal of Comparative Neurology · doi:10.1002/cne.902930210 · Cited by 291 · see citing works
Interpreting fMRI data: maps, modules and dimensions
de Beeck, H. O., Haushofer, J., & Kanwisher, N. (2008) · Nature reviews. Neuroscience · doi:10.1038/nrn2314 · Cited by 279 · see citing works
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
Self-citationSpatial maps in frontal and prefrontal cortex
Hagler, D. J., & Sereno, M. I. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.08.058 · Cited by 235 · see citing works
Adachi, Y., Osada, T., Sporns, O., Watanabe, T., Matsui, T., Miyamoto, K., & Miyashita, Y. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr234 · Cited by 211 · see citing works
Retinotopy and Attention in Human Occipital, Temporal, Parietal, and Frontal Cortex
Saygın, A. P., & Sereno, M. I. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm242 · Cited by 193 · 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 192 · see citing works
Stein, B. E., & Meredith, M. A. (1990) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1990.tb48891.x · Cited by 164 · see citing works
Transmitter receptors and functional anatomy of the cerebral cortex
Zilles, K., Palomero‐Gallagher, N., & Schleicher, A. (2004) · Journal of Anatomy · doi:10.1111/j.0021-8782.2004.00357.x · Cited by 159 · see citing works
The topographic brain: from neural connectivity to cognition
Thivierge, J., & Marcus, G. (2007) · Trends in Neurosciences · doi:10.1016/j.tins.2007.04.004 · Cited by 158 · see citing works
Identification of large-scale networks in the brain using fMRI
Bellec, P., Perlbarg, V., Jbabdi, S., Pélégrini‐Issac, M., Anton, J., Doyon, J., & Benali, H. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.08.044 · Cited by 154 · see citing works
Self-citationArcaro, M. J., Pinsk, M. A., Li, X., & Kästner, S. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.3334-10.2011 · Cited by 115 · see citing works
Taren, A. A., Venkatraman, V., & Huettel, S. A. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.5762-10.2011 · Cited by 114 · see citing works
Locating the functional and anatomical boundaries of human primary visual cortex
Hinds, O., Polimeni, J. R., Rajendran, N., Balasubramanian, M., Amunts, K., Zilles, K., Schwartz, E., Fischl, B. R., & Triantafyllou, C. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.03.036 · Cited by 111 · see citing works
Relating connectional architecture to grey matter function using diffusion imaging
Behrens, T. E. J., & Johansen‐Berg, H. (2005) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2005.1640 · Cited by 106 · see citing works
Self-citationVisuotopic Cortical Connectivity Underlying Attention Revealed with White-Matter Tractography
Greenberg, A. S., Verstynen, T., Chiu, Y., Yantis, S., Schneider, W., & Behrmann, M. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.5419-11.2012 · Cited by 102 · see citing works
Scheperjans, F., Palomero‐Gallagher, N., Grefkes, C., Schleicher, A., & Zilles, K. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.06.028 · Cited by 87 · see citing works
Topographically specific functional connectivity between visual field maps in the human brain
Heinzle, J., Kahnt, T., & Haynes, J. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.077 · Cited by 85 · see citing works
Hofer, S., Merboldt, K. D., Tammer, R., & Frahm, J. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhm141 · Cited by 80 · see citing works
Topographic maps of multisensory attention
Anderson, J. S., Ferguson, M. A., Lopez-Larson, M. P., & Yurgelun-Todd, D. A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1011616107 · Cited by 79 · see citing works
Topographic organization of V1 projections through the corpus callosum in humans
Sàenz, M., & Fine, I. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.060 · Cited by 75 · see citing works
Behrens, T. E. J., Jenkinson, M., Robson, M. D., Smith, S. M., & Johansen‐Berg, H. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.09.036 · Cited by 58 · see citing works
Self-citationEvidence for Segregated and Integrative Connectivity Patterns in the Human Basal Ganglia
Draganski, B., Kherif, F., Klöppel, S., Cook, P. A., Alexander, D. C., Parker, G. J. M., Deichmann, R., Ashburner, J., & Frackowiak, R. S. J. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.1486-08.2008 · Cited by 55 · see citing works
Behrens, T. E. J., Sotiropoulos, S. N., & Jbabdi, S. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-396460-1.00019-6 · Cited by 51 · see citing works
Self-citationAre Topographic Maps Fundamental to Sensory Processing?
Weinberg, R. J. (1997) · Brain Research Bulletin · doi:10.1016/s0361-9230(97)00095-6 · Cited by 50 · see citing works
Cauda, F., Giuliano, G., D’Agata, F., Sergio, D., & Sacco, K. (2010) · Human Brain Mapping · doi:10.1002/hbm.21132 · Cited by 41 · see citing works
Specialization: the connections have it
Jbabdi, S., & Behrens, T. E. J. (2012) · Nature Neuroscience · doi:10.1038/nn.3031 · Cited by 15 · see citing works
Self-citationA Brain Network Processing the Age of Faces
Homola, G. A., Jbabdi, S., Beckmann, C. F., & Bartsch, A. J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0049451 · Cited by 13 · see citing works
Self-citationCreating abstract topographic representations: Implications for coding, learning and reasoning
Tinsley, C. J. (2009) · Biosystems · doi:10.1016/j.biosystems.2009.03.003 · Cited by 7 · see citing works
Using topographic networks to build a representation of consciousness
Tinsley, C. J. (2007) · Biosystems · doi:10.1016/j.biosystems.2007.11.001 · Cited by 7 · see citing works
Basser (2000) · doi:10.1002/1522-2594(200010)44:4
Flagged first, then by citations
Cited by
Sorted by citations
Situating the default-mode network along a principal gradient of macroscale cortical organization
Margulies, D. S., Ghosh, S. S., Goulas, A., Falkiewicz, M., Huntenburg, J. M., Langs, G., Bezgin, G., Eickhoff, S. B., Castellanos, F. X., Petrides, M., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1608282113 · Cited by 2,321 · see citing works
Optimal trajectories of brain state transitions
Gu, S., Betzel, R. F., Mattar, M. G., Cieslak, M., Delio, P. R., Grafton, S. T., Pasqualetti, F., & Bassett, D. S. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.003 · Cited by 183 · see citing works
Leveraging shared connectivity to aggregate heterogeneous datasets into a common response space
Nastase, S. A., Liu, Y.-F., Hillman, H., Norman, K. A., & Hasson, U. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116865 · Cited by 42 · see citing works
- Authors
- Jbabdi, S., Sotiropoulos, S. N., & Behrens, T. E.
- Affiliations
- University of Oxford (GB)
- Wellcome Centre for Human Neuroimaging (GB)
- Venue
- Current Opinion in Neurobiology
- Publisher
- Elsevier BV
- Published
- 2013-04
- Volume
- 23
- Issue
- 2
- Pages
- 207-215
- ISSN
- 0959-4388 (ISSN-L)
- PMC
- PMC3622846
- OpenAlex
- W2012699412
- Cited by
- 107
- References
- 71
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 3 · 2023: 15 · 2022: 9 · 2021: 6 · 2020: 13 · 2019: 10 · 2018: 12 · 2017: 6 · 2016: 8 · 2015: 9 · 2014: 4 · 2013: 4
- FWCI
- 0.71
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Current Opinion in Neurobiology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Nottingham ePrints (University of Nottingham) (submittedVersion)
- Repository@Nottingham (University of Nottingham) (submittedVersion, cc-by)
- Funders
- Wellcome Trust (098369)
- National Institutes of Health (5u54mh091657-05)
- National Institute of Mental Health (U54-MH091657)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Keywords
- brain connectivity, structural connectivity, brain networks, in vivo brain imaging, brain circuits
- MeSH terms
- Brain, Brain Mapping, Computer Simulation, Humans, Models, Neurological, Nerve Net, Neural Pathways, Feedback, Physiological
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
