The DOI matches its Crossref record; 85 of the 86 references it cites were found in a registry or an index.
The Human Connectome: A Structural Description of the Human Brain
Open accessAbstract
The connection matrix of the human brain (the human "connectome") represents an indispensable foundation for basic and applied neurobiological research. However, the network of anatomical connections linking the neuronal elements of the human brain is still largely unknown. While some databases or collations of large-scale anatomical connection patterns exist for other mammalian species, there is currently no connection matrix of the human brain, nor is there a coordinated research effort to collect, archive, and disseminate this important information. We propose a research strategy to achieve this goal, and discuss its potential impact.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“While a network approach to brain function is not a new idea, 25,49,68,85,88 a recent focus on brain connectivity as the underlying principle of the brain has gained eminence in the past decade, culminating in the search for the connectome, or the brain's “wiring diagram.”89”
From Graph theory analysis of complex brain networks: new concepts in brain mapping applied to neurosurgery (2016) · cites this paper as [89]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“However, the anatomical accuracy of diffusion-weighted tractography, which infers neuronal pathways from tissue water diffusion direction, continues to be a matter of controversy, and reconstructing connectomes with both high sensitivity and high specificity remains challenging (Sporns et al. 2005; Bastiani et al. 2012; Jbabdi et al. 2013, 2015; Thomas et al. 2014; Azadbakht et al. 2015; Calabrese”
From Diffusion MRI-based cortical connectome reconstruction: dependency on tractography procedures and neuroanatomical characteristics (2018) · cites this paper as Sporns et al. 2005
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Quantitative measures extracted for individual fiber pathways can also be used to construct a structural connectivity matrix to map the whole-brain network of structural connectivity between all pairs of gray matter regions (Hagmann et al., 2008a; Sporns et al., 2005).”
From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Sporns et al., 2005
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Medical neuralnanorobots are expected to have the capacity for real-time, non-destructive monitoring of single-neuron and single-synapse neuroelectric activity, local neuropeptide traffic, and other relevant functional data, while also allowing the acquisition of fundamental structural information from neuron surfaces, to enhance the connectome map of a living human brain”
From Human Brain/Cloud Interface (2019) · cites this paper as Sporns et al., 2005
Experimental — accuracy not yet measured
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
The sequence of the human genome
Venter, J. C., Adams, M. D., Myers, E. W., Li, P. W., Mural, R. J., Sutton, G. G., Smith, H. O., Yandell, M., Evans, C. A., Holt, R. A., et al. (2001) · Science · doi:10.1126/science.1058040 · Cited by 13,909
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
Friston, K. J., Harrison, L., & Penny, W. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00202-7 · Cited by 4,583
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
Non-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
The columnar organization of the neocortex
Mountcastle, V. B. (1997) · Brain · doi:10.1093/brain/120.4.701 · Cited by 2,314
Organization, development and function of complex brain networks
SPORNS, O., CHIALVO, D., KAISER, M., & HILGETAG, C. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.07.008 · Cited by 2,055
Self-citationTracking neuronal fiber pathways in the living human brain
Conturo, T. E., Lori, N. F., Cull, T. S., Akbudak, E., Snyder, A. Z., Shimony, J. S., McKinstry, R. C., Burton, H., & Raichle, M. E. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.18.10422 · Cited by 1,774
The Sequence of the Human Genome
Venter, J. C., Smith, H. O., & Adams, M. D. (2015) · Clinical Chemistry · doi:10.1373/clinchem.2014.237016 · Cited by 1,665
Looking into the functional architecture of the brain with diffusion MRI.
Le Bihan, D. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1119 · Cited by 1,571
Dendritic spine changes associated with hippocampal long-term synaptic plasticity
Engert, F., & Bonhoeffer, T. (1999) · Nature · doi:10.1038/19978 · Cited by 1,412
The Small World of the Cerebral Cortex
Sporns, O., & Zwi, J. D. (2004) · Neuroinformatics · doi:10.1385/ni:2:2:145 · Cited by 1,378
Self-citationWatson, J. D. G., Myers, R., Frackowiak, R. S. J., Hajnal, J. V., Woods, R. P., Mazziotta, J. C., Shipp, S. D., & Zeki, S. (1993) · Cerebral Cortex · doi:10.1093/cercor/3.2.79 · Cited by 1,235
Functional imaging with cellular resolution reveals precise micro-architecture in visual cortex
Ohki, K., Chung, S., Ch'ng, Y. H., Kara, P., & Reid, R. C. (2005) · Nature · doi:10.1038/nature03274 · Cited by 1,191
Genetic influences on brain structure
Thompson, P. M., Cannon, T. D., Narr, K. L., van Erp, T. G. M., Poutanen, V.-P., HUTTUNEN, M. O., Lönnqvist, J. K., Standertskjöld-Nordenstam, C.-G., Kaprio, J. A., Khaledy, M., et al. (2001) · Nature Neuroscience · doi:10.1038/nn758 · Cited by 1,033
The anatomical basis of functional localization in the cortex
Passingham, R. E., Stephan, K. E., & Kötter, R. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn893 · Cited by 1,024
Self-citationOccipito-temporal connections in the human brain.
Catani, M., Jones, D., Donato, R., & Ffytche, D. (2003) · Brain : a journal of neurology · doi:10.1093/brain/awg203 · Cited by 934
Structural equation modeling and its application to network analysis in functional brain imaging
McLntosh, A. R., & Gonzalez-Lima, F. (1994) · Human Brain Mapping · doi:10.1002/hbm.460020104 · Cited by 838
Sporns, O., & Kötter, R. (2004) · PLoS Biology · doi:10.1371/journal.pbio.0020369 · Cited by 812
Self-citationCortical coordination dynamics and cognition
Bressler, S. L., & Kelso, J. A. S. (2001) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01564-3 · Cited by 804
A functional microcircuit for cat visual cortex
Douglas, R. J., & Martin, K. A. (1991) · The Journal of Physiology · doi:10.1113/jphysiol.1991.sp018733 · Cited by 736
Complexity and coherency: integrating information in the brain
Tononi, G. (1998) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(98)01259-5 · Cited by 725
Self-citationSporns, O. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.2.127 · Cited by 712
Self-citationChanges 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 705
Diffusion MRI of complex neural architecture.
Tuch, D. S., Reese, T. G., Wiegell, M. R., & Wedeen, V. J. (2003) · Neuron · doi:10.1016/s0896-6273(03)00758-x · Cited by 698
Braitenberg, V., & Schüz, A. (1991) · Studies of brain function · doi:10.1007/978-3-662-02728-8 · Cited by 659
Measures of degeneracy and redundancy in biological networks
Tononi, G., Sporns, O., & Edelman, G. M. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.6.3257 · Cited by 632
Self-citationExcitatory cortical neurons form fine-scale functional networks
Yoshimura, Y., Dantzker, J. L. M., & Callaway, E. M. (2005) · Nature · doi:10.1038/nature03252 · Cited by 601
Large-scale cortical networks and cognition
Bressler, S. L. (1995) · Brain Research Reviews · doi:10.1016/0165-0173(94)00016-i · Cited by 557
Hilgetag, C. C., Burns, G., O’Neill, M. A., Scannell, J. W., & Young, M. P. (2000) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2000.0551 · Cited by 548
Towards a network theory of cognition
McIntosh, A. R. (2000) · Neural Networks · doi:10.1016/s0893-6080(00)00059-9 · Cited by 500
Wiring Optimization in Cortical Circuits
Chklovskii, D. B., Schikorski, T., & Stevens, C. F. (2002) · Neuron · doi:10.1016/s0896-6273(02)00679-7 · Cited by 499
The minicolumn hypothesis in neuroscience
Buxhoeveden, D. P., & Casanova, M. F. (2002) · Brain · doi:10.1093/brain/awf110 · Cited by 496
Perceptual Neuroscience: The Cerebral Cortex
Mountcastle, V. B. (1998) · Cited by 476
Objective analysis of the topological organization of the primate cortical visual system
Young, M. P. (1992) · Nature · doi:10.1038/358152a0 · Cited by 470
Beyond Phrenology: What Can Neuroimaging Tell Us About Distributed Circuitry?
Friston, K. (2002) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.25.112701.142846 · Cited by 465
Degeneracy and cognitive anatomy
Price, C. J., & Friston, K. J. (2002) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(02)01976-9 · Cited by 444
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
Functional and structural mapping of human cerebral cortex: solutions are in the surfaces.
van Essen, D., Drury, H., Joshi, S., & Miller, M. I. (1998) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.95.3.788 · Cited by 411
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
Self-citationThe Connectional Organization of the Cortico-thalamic System of the Cat
Scannell, J. W. (1999) · Cerebral Cortex · doi:10.1093/cercor/9.3.277 · Cited by 371
Three-dimensional statistical analysis of sulcal variability in the human brain
Thompson, P. M., Schwartz, C., Lin, R. T., Khan, A. A., & Toga, A. W. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-13-04261.1996 · Cited by 346
Emergence and refinement of clustered horizontal connections in cat striate cortex
Callaway, E. M., & Katz, L. (1990) · Journal of Neuroscience · doi:10.1523/jneurosci.10-04-01134.1990 · Cited by 323
Interhemispheric Asymmetries of the Modular Structure in Human Temporal Cortex
Galuske, R. A. W., Schlote, W., Bratzke, H., & Singer, W. (2000) · Science · doi:10.1126/science.289.5486.1946 · Cited by 321
Geometry and structural plasticity of synaptic connectivity
Stepanyants, A., Hof, P. R., & Chklovskii, D. B. (2002) · Neuron · doi:10.1016/s0896-6273(02)00652-9 · Cited by 312
Backwardness of human neuroanatomy
Crick, F., & Jones, E. G. (1993) · Nature · doi:10.1038/361109a0 · Cited by 306
Quantifying Variability in the Planum Temporale: A Probability Map
Westbury, C. F. (1999) · Cerebral Cortex · doi:10.1093/cercor/9.4.392 · Cited by 278
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
Computational analysis of functional connectivity between areas of primate cerebral cortex.
Stephan, K. E., Hilgetag, C., Burns, G. A., O'Neill, M., Young, M. P., & Kötter, R. (2000) · Philosophical transactions of the Royal Society of London. Series B, Biological sciences · doi:10.1098/rstb.2000.0552 · Cited by 275
Self-citationKötter, R. (2004) · Neuroinformatics · doi:10.1385/ni:2:2:127 · Cited by 273
Self-citationMicrocolumns in the cerebral cortex
Jones, E. G. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.10.5019 · Cited by 233
Neural modeling, functional brain imaging, and cognition
Horwitz, B., Tagamets, M.-A., & McIntosh, A. R. (1999) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(99)01282-6 · Cited by 229
Magnetic Resonance Imaging of Neuronal Connections in the Macaque Monkey
Saleem, K. S., Pauls, J., Augath, M. A., Trinath, T., Prause, B. A., Hashikawa, T., & Logothetis, N. K. (2002) · Neuron · doi:10.1016/s0896-6273(02)00718-3 · Cited by 218
The neocortical microcircuit as a tabula rasa
Kalisman, N., Silberberg, G., & Markram, H. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0407088102 · Cited by 203
Functional organization of human occipital-callosal fiber tracts
Dougherty, R. F., Ben‐Shachar, M., Bammer, R., Brewer, A. A., & Wandell, B. A. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0500003102 · Cited by 200
Neuroimaging Weighs In: Humans Meet Macaques in “Primate” Visual Cortex
Tootell, R. B. H., Tsao, D. Y., & Vanduffel, W. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-10-03981.2003 · Cited by 200
Brain dynamics during natural viewing conditions—A new guide for mapping connectivity in vivo
Bartels, A., & Zeki, S. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.08.044 · Cited by 189
Indeterminate Organization of the Visual System
Hilgetag, C. C., O’Neill, M. A., & Young, M. P. (1996) · Science · doi:10.1126/science.271.5250.776 · Cited by 174
Hilgetag, C., O'Neill, M. A., & Young, M. P. (2000) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2000.0550 · Cited by 167
The connectivity of the brain: multi-level quantitative analysis
Murre, J. M. J., & Sturdy, D. P. F. (1995) · Biological Cybernetics · doi:10.1007/bf00199545 · Cited by 150
Frost, E. A. M. (1989) · Journal of Neurosurgical Anesthesiology · doi:10.1097/00008506-198903000-00016 · Cited by 141
From gene networks to brain networks
Bota, M., Dong, H., & Swanson, L. W. (2003) · Nature Neuroscience · doi:10.1038/nn1096 · Cited by 138
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
Self-citationSome thoughts on cortical minicolumns
Rockland, K., & Ichinohe, N. (2004) · Experimental Brain Research · doi:10.1007/s00221-004-2024-9 · Cited by 125
Synthetic PET: Analyzing large‐scale properties of neural networks
Arbib, M. A., Bischoff, A., Fagg, A. H., & Grafton, S. T. (1994) · Human Brain Mapping · doi:10.1002/hbm.460020404 · Cited by 116
Intrinsic connectivity of human auditory areas: a tracing study with DiI
Tardif, É., & Clarke, S. (2001) · European Journal of Neuroscience · doi:10.1046/j.0953-816x.2001.01456.x · Cited by 113
Kötter, R., & Stephan, K. (2003) · Neural Networks · doi:10.1016/j.neunet.2003.06.002 · Cited by 108
Self-citationRelating 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 108
Spatial specificity of cerebral blood volume-weighted fMRI responses at columnar resolution
Zhao, F., Wang, P., Hendrich, K. S., & Kim, S. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.04.011 · Cited by 102
Columnar Resolution of Blood Volume and Oximetry Functional Maps in the Behaving Monkey
Vanzetta, I., Slovin, H., Omer, D. B., & Grinvald, A. (2004) · Neuron · doi:10.1016/j.neuron.2004.04.004 · Cited by 96
Global relationship between anatomical connectivity and activity propagation in the cerebral cortex
Kötter, R., & Sommer, F. T. (2000) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2000.0553 · Cited by 94
Self-citationFunctional connectivity: studying nonlinear, delayed interactions between BOLD signals
Lahaye, P.-J., Poline, J., Flandin, G., Dodel, S., & Garnero, L. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00340-9 · Cited by 91
Modular organization of directionally tuned cells in the motor cortex: Is there a short-range order?
Amirikian, B. R., & Georgopoulos, A. P. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2037719100 · Cited by 88
Neural modeling and functional neuroimaging
Horwitz, B., & Sporns, O. (1994) · Human Brain Mapping · doi:10.1002/hbm.460010405 · Cited by 87
Self-citationAnalysis of the connectional organization of neural systems associated with the hippocampus in rats
Burns, G., & Young, M. P. (2000) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2000.0549 · Cited by 72
Neuroscience databases: tools for exploring brain structure–function relationships
Kötter, R. (2001) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2001.0902 · Cited by 70
Self-citationFunctional and structural mapping of human cerebral cortex: solutions are in the surfaces.
Essen, D. C. V., Drury, H. A., Joshi, S. C., & Miller, M. I. (2000) · PubMed · Cited by 70
Q -ball imaging of macaque white matter architecture
Tuch, D. S., Wisco, J. J., Khachaturian, M. H., Ekstrom, L. B., Kötter, R., & Vanduffel, W. (2005) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2005.1651 · Cited by 61
Self-citationInsel, T. R., Volkow, N. D., Li, T., Battey, J. F., & Landis, S. C. (2003) · PLoS Biology · doi:10.1371/journal.pbio.0000017 · Cited by 43
Chadderdon, G. L., & Sporns, O. (2006) · Journal of Cognitive Neuroscience · doi:10.1162/089892906775783624 · Cited by 42
Self-citationDatabasing the brain: from data to knowledge
(2005) · Choice Reviews Online · doi:10.5860/choice.43-0300 · Cited by 42
Bota, M., & Arbib, M. A. (2004) · Neuroinformatics · doi:10.1385/ni:2:1:019 · Cited by 34
Relating fMRI and PET Signals to Neural Activity by Means of Large-Scale Neural Models
Horwitz, B. (2004) · Neuroinformatics · doi:10.1385/ni:2:2:251 · Cited by 29
Broca's region revisited: Cytoarchitecture and intersubject variability
Amunts, K., Schleicher, A., B�rgel, U., Mohlberg, H., Uylings, H. B. M., & Zilles, K. (1999) · The Journal of Comparative Neurology · doi:10.1002/(sici)1096-9861(19990920)412:2
Bush (1998) · doi:10.1002/(sici)1097-0193(1998)6:4
Flagged first, then by citations
1 of the 86 references couldn’t be matched to a known paper.
Research works printed but not linked: 77
- Kötter, 2001, Phil Trans R Soc Lond B Biol Sci, 356, 1111
- Amari, 2003, Neural Netw, 16, 1235
- 2003, Human brain function, 2nd ed
- Tononi, 1998, Trends Cogn Sci, 2, 44
- Friston, 2002, Annu Rev Neurosci, 25, 221
- McIntosh, 2000, Neural Netw, 13, 861
- Bressler, 1995, Brain Res Brain Res Rev, 20, 288
- Bressler, 2001, Trends Cogn Sci, 5, 26
- Tononi, 1999, Proc Natl Acad Sci U S A, 96, 3257
- Price, 2002, Trends Cogn Sci, 6, 416
- Crick, 1993, Nature, 361, 109
- Tootell, 2003, J Neurosci, 23, 3981
- Young, 1993, Proc R Soc Lond B Biol Sci, 252, 13
- Stephan, 2001, Philos Trans R Soc Lond B Biol Sci, 356, 1159
- Murre, 1995, Biol Cybern, 73, 529
- Engert, 1999, Nature, 399, 66
- Stepanyants, 2002, Neuron, 34, 275
- Kalisman, 2005, Proc Natl Acad Sci U S A, 102, 880
- Van Essen, 1998, Proc Natl Acad U S A, 95, 788
- Felleman, 1991, Cereb Cortex, 1, 1
- Scannell, 1999, Cereb Cortex, 9, 277
- Burns, 2000, Phil Trans R Soc Lond B Biol Sci, 355, 55
- Sporns, 2004, Trends Cogn Sci, 8, 418
- Hilgetag, 2000, Phil Trans R Soc Lond B Biol Sci, 355, 91
- Hilgetag, 2000, Phil Trans R Soc Lond B Biol Sci, 355, 71
- Hilgetag, 1996, Science, 271, 776
- Sporns, 2000, Cereb Cortex, 10, 127
- Sporns, 2004, Neuroinformatics, 2, 145
- Young, 1992, Nature, 358, 152
- Kötter, 2003, Neural Netw, 16, 1261
- Chklovskii, 2002, Neuron, 34, 341
- Köbbert, 2000, Prog Neurobiol, 62, 327
- Kötter, 2004, Neuroinformatics, 2, 127
- Galuske, 2000, Science, 289, 1946
- Tardif, 2001, Eur J Neurosci, 13, 1045
- Saleem, 2002, Neuron, 34, 685
- Conturo, 1999, Proc Natl Acad Sci U S A, 96, 10422
- LeBihan, 2003, Nature Rev Neurosci, 4, 469
- Catani, 2003, Brain, 126, 2093
- Dougherty, 2005, Proc Natl Acad Sci USA, 102, 7350
- Tuch, 2003, Neuron, 40, 885
- Tuch, 2005, Phil Trans R Soc B Biol Sci, 360, 869
- Passingham, 2002, Nat Rev Neurosci, 3, 606
- Behrens, 2005, Phil Trans R Soc B Biol Sci, 360, 903
- Behrens, 2003, Nat Neurosci, 6, 750
- Johansen-Berg, 2004, Proc Natl Acad Sci U S A, 101, 13335
- Mountcastle, 1978, The mindful brain, 7
- Mountcastle, 1997, Brain, 120, 701
- Buxhoeveden, 2002, Brain, 125, 935
- Rockland, 2004, Exp Brain Res, 158, 265
- Jones, 2000, Proc Natl Acad Sci U S A, 97, 5019
- Douglas, 1991, J Physiol, 440, 735
- Yoshimura, 2005, Nature, 433, 868
- Ohki, 2005, Nature, 433, 597
- Zhao, 2005, Neuroimage, 27, 416
- Vanzetta, 2004, Neuron, 42, 843
- Callaway, 1990, J Neurosci, 10, 1134
- Amirikian, 2003, Proc Natl Acad Sci U S A, 100, 12474
- Kötter, 2005, Phil Trans R Soc Lond B Biol Sci, 360, 751
- Thompson, 1996, J Neurosci, 16, 4261
- Thompson, 2001, Nat Neurosci, 4, 1
- Amunts, 1999, J Comp Neurol, 412, 319
- Westbury, 1999, Cereb Cortex, 9, 392
- Watson, 1993, Cereb Cortex, 3, 79
- Hasnain, 1998, Hum Brain Mapp, 6, 301
- Lahaye, 2003, Neuroimage, 20, 962
- Bartels, 2005, Neuroimage, 24, 339
- Stephan, 2000, Phil Trans R Soc Lond B Biol Sci, 355, 111
- Kötter, 2000, Phil Trans R Soc Lond B Biol Sci, 355, 127
- McIntosh, 1994, Hum Brain Mapp, 2, 2
- Friston, 2003, Neuroimage, 19, 1273
- Bota, 2003, Nat Neuroscience, 6, 795
- Horwitz, 1994, Hum Brain Mapp, 1, 269
- Horwitz, 1999, Trends Cogn Sci, 3, 91
- Horwitz, 2004, Neuroinformatics, 2, 251
- Chadderdon, 2005, J Cogn Neurosci
- Bota, 2004, Neuroinformatics, 2, 19
Cited by
Sorted by citations
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
Self-citationComplex 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
Self-citationDissociable 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
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
Self-citationLarge-scale brain networks and psychopathology: a unifying triple network model
Menon, V. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.08.003 · Cited by 4,168
Metadata
- Authors
- Sporns, O., Tononi, G., & Kötter, R.
- Affiliations
- Indiana University Bloomington (US)
- University of Wisconsin–Madison (US)
- Corresponding author
- Sporns, Olaf
- Venue
- PLoS Computational Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2005
- Volume
- 1
- Issue
- 4
- Pages
- e42
- ISSN
- 1553-734X (ISSN-L)
- 1553-7358
- PMC
- PMC1239902
- OpenAlex
- W2146693559
- Cited by
- 3,260
- References
- 86
- Citations by year
- 2026: 127 · 2025: 184 · 2024: 188 · 2023: 191 · 2022: 232 · 2021: 231 · 2020: 244 · 2019: 235 · 2018: 194 · 2017: 216 · 2016: 203 · 2015: 220 · 2014: 166 · 2013: 168 · 2012: 134
- FWCI
- 2.12
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS Computational Biology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- James S. McDonnell Foundation
- Deutsche Forschungsgemeinschaft
- National Institutes of Health
- National Institute on Drug Abuse (1R21 DA 15647-01, R21DA015647)
- 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
- human connectome, structural connectivity, structural brain networks, research strategies
- MeSH terms
- Animals, Brain, Humans, Nerve Net, Neurons, Synapses
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
