Mapping anatomical connectivity patterns of human cerebral cortex using in vivo diffusion tensor imaging tractography
Open accessAbstract
The characterization of the topological architecture of complex networks underlying the structural and functional organization of the brain is a basic challenge in neuroscience. However, direct evidence for anatomical connectivity networks in the human brain remains scarce. Here, we utilized diffusion tensor imaging deterministic tractography to construct a macroscale anatomical network capturing the underlying common connectivity pattern of human cerebral cortex in a large sample of subjects (80 young adults) and further quantitatively analyzed its topological properties with graph theoretical approaches. The cerebral cortex was divided into 78 cortical regions, each representing a network node, and 2 cortical regions were considered connected if the probability of fiber connections exceeded a statistical criterion. The topological parameters of the established cortical network (binarized) resemble that of a "small-world" architecture characterized by an exponentially truncated power-law distribution. These characteristics imply high resilience to localized damage. Furthermore, this cortical network was characterized by major hub regions in association cortices that were connected by bridge connections following long-range white matter pathways. Our results are compatible with previous structural and functional brain networks studies and provide insight into the organizational principles of human brain anatomical networks that underlie functional states.
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?
Functional MRI, whether BOLD- or diffusion-based, and tractography provide complementary views of the functional and anatomical networks supporting cognition.
“Functional MRI, whether BOLD- or diffusion-based, and tractography provide complementary views of the functional and anatomical networks supporting cognition (Gong, He, et al., 2009; Koch et al., 2002).”
From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Gong, He, et al., 2009
The Introduction describes fMRI as a way to study functional networks and diffusion tractography as a way to study anatomical connectivity; the Conclusion says the anatomical findings are compatible with functional-network studies. Neither passage describes diffusion-based functional MRI or directly connects these methods to cognition. Page numbers are not provided in our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measuredTractography is one of the defining achievements of the brain-centered diffusion MRI story.
“In that sense, tractography is one of the defining achievements of the brain-centered diffusion MRI story (Assaf et al., 2019; Gong, et al., 2009).”
From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Gong, et al., 2009
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
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
Error and attack tolerance of complex networks
Albert, R., Jeong, H., & Barabási, A.-L. (2000) · Nature · doi:10.1038/35019019 · Cited by 7,534 · see citing works
The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,653 · see citing works
Self-citationEfficiency 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 · see citing works
Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems
Fox, M. D., Corbetta, M., Snyder, A. Z., Vincent, J. L., & Raichle, M. E. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0604187103 · Cited by 2,101 · see citing works
Microstructural maturation of the human brain from childhood to adulthood
Lebel, C., Walker, L., Leemans, A., Phillips, L., & Beaulieu, C. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.12.053 · Cited by 1,398 · see citing works
Self-citationThree-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 · see citing works
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 · see citing works
Flagged first, then by citations
Research works printed but not linked: 68
- Achard S, Salvador R, Whitcher B, Suckling J, Bullmore E. A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs. J Neurosci. 2006;26:63–72. doi: 10.1523/JNEUROSCI.3874-05.2006. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- Amaral LAN, Scala A, Barthelemy M, Stanley HE. Classes of small-world networks. Proc Natl Acad Sci USA. 2000;97:11149–11152. doi: 10.1073/pnas.200327197. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- Amunts K, Schleicher A, Burgel U, Mohlberg H, Uylings HB, Zilles K. Broca's region revisited: cytoarchitecture and intersubject variability. J Comp Neurol. 1999;412:319–341. doi: 10.1002/(sici)1096-9861(19990920)412:2<319::aid-cne10>3.0.co;2-7. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Barrick TR, Lawes IN, Mackay CE, Clark CA. White matter pathway asymmetry underlies functional lateralization. Cereb Cortex. 2007;17:591–598. doi: 10.1093/cercor/bhk004. [DOI] [PubMed] [Google Scholar] · DOI
- Basser PJ, Pajevic S, Pierpaoli C, Duda J, Aldroubi A. In vivo fiber tractography using DT-MRI data. Magn Reson Med. 2000;44:625–632. doi: 10.1002/1522-2594(200010)44:4<625::aid-mrm17>3.0.co;2-o. [DOI] [PubMed] [Google Scholar] · DOI
- Basser PJ, Pierpaoli C. Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. J Magn Reson B. 1996;111:209–219. doi: 10.1006/jmrb.1996.0086. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Batagelj V, Mrvar A. Pajek—program for large network analysis. Connections. 1998;21:47–57. [Google Scholar]
- Behrens TE, Berg HJ, Jbabdi S, Rushworth MF, Woolrich MW. Probabilistic diffusion tractography with multiple fibre orientations: what can we gain? Neuroimage. 2007;34:144–55. doi: 10.1016/j.neuroimage.2006.09.018. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- Behrens TE, Woolrich MW, Jenkinson M, Johansen-Berg H, Nunes RG, Clare S, Matthews PM, Brady JM, Smith SM. Characterization and propagation of uncertainty in diffusion-weighted MR imaging. Magn Reson Med. 2003;50:1077–1088. doi: 10.1002/mrm.10609. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Catani M, Howard RJ, Pajevic S, Jones DK. Virtual in vivo interactive dissection of white matter fasciculi in the human brain. Neuroimage. 2002;17:77–94. doi: 10.1006/nimg.2002.1136. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Catani M, Jones DK, Donato R, Ffytche DH. Occipito-temporal connections in the human brain. Brain. 2003;126:2093–2107. doi: 10.1093/brain/awg203. [DOI] [PubMed] [Google Scholar] · DOI
- Cavanna AE, Trimble MR. The precuneus: a review of its functional anatomy and behavioural correlates. Brain. 2006;129:564–83. doi: 10.1093/brain/awl004. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Concha L, Beaulieu C, Gross DW. Bilateral limbic diffusion abnormalities in unilateral temporal lobe epilepsy. Ann Neurol. 2005;57:188–196. doi: 10.1002/ana.20334. [DOI] [PubMed] [Google Scholar] · DOI
- Conturo TE, Lori NF, Cull TS, Akbudak E, Snyder AZ, Shimony JS, McKinstry RC, Burton H, Raichle ME. Tracking neuronal fiber pathways in the living human brain. Proc Natl Acad Sci USA. 1999;96:10422–10427. doi: 10.1073/pnas.96.18.10422. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- Costa LD, Rodrigues FA, Travieso G, Boas PRV. Characterization of complex networks: a survey of measurements. Adv Phys. 2007;56:167–242. [Google Scholar]
- Crick F, Jones E. Backwardness of human neuroanatomy. Nature. 1993;361:109–110. doi: 10.1038/361109a0. [DOI] [PubMed] [Google Scholar] · DOI
- Crosby EC, Humphrey T, Lauer EW. Correlative anatomy of the nervous system. New York: Macmillian; 1962. [Google Scholar]
- Eguiluz VM, Chialvo DR, Cecchi GA, Baliki M, Apkarian AV. Scale-free brain functional networks. Phys Rev Lett. 2005;94:018102. doi: 10.1103/PhysRevLett.94.018102. [DOI] [PubMed] [Google Scholar] · DOI
- Freeman LC. Set of measures of centrality based on betweenness. Sociometry. 1977;40:35–41. [Google Scholar]
- Girvan M, Newman ME. Community structure in social and biological networks. Proc Natl Acad Sci USA. 2002;99:7821–7826. doi: 10.1073/pnas.122653799. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- Goh KI, Kahng B, Kim D. Universal behavior of load distribution in scale-free networks. Phys Rev Lett. 2001;87:278701. doi: 10.1103/PhysRevLett.87.278701. [DOI] [PubMed] [Google Scholar] · DOI
- Gong G, Jiang T, Zhu C, Zang Y, Wang F, Xie S, Xiao J, Guo X. Asymmetry analysis of cingulum based on scale-invariant parameterization by diffusion tensor imaging. Hum Brain Mapp. 2005;24:92–98. doi: 10.1002/hbm.20072. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- Hagmann P, Kurant M, Gigandet X, Thiran P, Wedeen VJ, Meuli R, Thiran JP. Mapping human whole-brain structural networks with diffusion MRI. PLoS ONE. 2007;2:e597. doi: 10.1371/journal.pone.0000597. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- He Y, Chen ZJ, Evans AC. Small-world anatomical networks in the human brain revealed by cortical thickness from MRI. Cereb Cortex. 2007;17:2407–2419. doi: 10.1093/cercor/bhl149. [DOI] [PubMed] [Google Scholar] · DOI
- He Y, Chen ZJ, Evans AC. Structural insights into aberrant topological patterns of large-scale cortical networks in Alzheimer's disease. J Neurosci. 2008;28(18):4756–4766. doi: 10.1523/JNEUROSCI.0141-08.2008. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- Highley JR, Walker MA, Esiri MM, Crow TJ, Harrison PJ. Asymmetry of the uncinate fasciculus: a post-mortem study of normal subjects and patients with schizophrenia. Cereb Cortex. 2002;12:1218–1224. doi: 10.1093/cercor/12.11.1218. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Hilgetag CC, Burns GA, O'Neill MA, Scannell JW, Young MP. Anatomical connectivity defines the organization of clusters of cortical areas in the macaque monkey and the cat. Philos Trans R Soc Lond B Biol Sci. 2000;355:91–110. doi: 10.1098/rstb.2000.0551. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- Hilgetag CC, ONeill MA, Young MP. Indeterminate organization of the visual system. Science. 1996;271:776–777. doi: 10.1126/science.271.5250.776. [DOI] [PubMed] [Google Scholar] · DOI
- Honey CJ, Kotter R, Breakspear M, Sporns O. Network structure of cerebral cortex shapes functional connectivity on multiple time scales. Proc Natl Acad Sci USA. 2007;104:10240–10245. doi: 10.1073/pnas.0701519104. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- Iturria-Medina Y, Sotero RC, Canales-Rodriguez EJ, Aleman-Gomez Y, Melie-Garcia L. Studying the human brain anatomical network via diffusion-weighted MRI and Graph Theory. Neuroimage. 2008;40:1064–1076. doi: 10.1016/j.neuroimage.2007.10.060. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Jones DK, Simmons A, Williams SCR, Horsfield MA. Non-invasive assessment of axonal fiber connectivity in the human brain via diffusion tensor MRI. Magn Reson Med. 1999;42:37–41. doi: 10.1002/(sici)1522-2594(199907)42:1<37::aid-mrm7>3.0.co;2-o. [DOI] [PubMed] [Google Scholar] · DOI
- Kaiser M, Hilgetag CC. Modelling the development of cortical networks. Neurocomputing. 2004;58–60:297–302. [Google Scholar]
- Kaiser M, Martin R, Andras P, Young MP. Simulation of robustness against lesions of cortical networks. Eur J Neurosci. 2007;25:3185–3192. doi: 10.1111/j.1460-9568.2007.05574.x. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Kobbert C, Apps R, Bechmann I, Lanciego JL, Mey J, Thanos S. Current concepts in neuroanatomical tracing. Prog Neurobiol. 2000;62:327–351. doi: 10.1016/s0301-0082(00)00019-8. [DOI] [PubMed] [Google Scholar] · DOI
- Latora V, Marchiori M. Efficient behavior of small-world networks. Phys Rev Lett. 2001;87:198701. doi: 10.1103/PhysRevLett.87.198701. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Le Bihan D. Looking into the functional architecture of the brain with diffusion MRI. Nat Rev Neurosci. 2003;4:469–480. doi: 10.1038/nrn1119. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Maslov S, Sneppen K. Specificity and stability in topology of protein networks. Science. 2002;296:910–913. doi: 10.1126/science.1065103. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Mesulam MM. Principles of behavioural and cognitive neurology. New York: Oxford University Press; 2000. [Google Scholar]
- Micheloyannis S, Pachou E, Stam CJ, Vourkas M, Erimaki S, Tsirka V. Using graph theoretical analysis of multi channel EEG to evaluate the neural efficiency hypothesis. Neurosci Lett. 2006;402:273–277. doi: 10.1016/j.neulet.2006.04.006. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Mori S, Crain BJ, Chacko VP, van Zijl PC. Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging. Ann Neurol. 1999;45:265–269. doi: 10.1002/1531-8249(199902)45:2<265::aid-ana21>3.0.co;2-3. [DOI] [PubMed] [Google Scholar] · DOI
- Mori S, van Zijl PC. Fiber tracking: principles and strategies—a technical review. NMR Biomed. 2002;15:468–480. doi: 10.1002/nbm.781. [DOI] [PubMed] [Google Scholar] · DOI
- Newman MEJ. The structure and function of complex networks. SIAM Rev. 2003;45:167–256. [Google Scholar]
- Nolte J. The human brain: an introduction to its functional anatomy. St Louis (MO): Mosby-Year Book; 1993. [Google Scholar]
- Nucifora PG, Verma R, Melhem ER, Gur RE, Gur RC. Leftward asymmetry in relative fiber density of the arcuate fasciculus. Neuroreport. 2005;16:791–794. doi: 10.1097/00001756-200505310-00002. [DOI] [PubMed] [Google Scholar] · DOI
- Parker GJ, Alexander DC. Probabilistic anatomical connectivity derived from the microscopic persistent angular structure of cerebral tissue. Philos Trans R Soc Lond B Biol Sci. 2005;360:893–902. doi: 10.1098/rstb.2005.1639. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- Petrides M. Lateral prefrontal cortex: architectonic and functional organization. Philos Trans R Soc Lond B Biol Sci. 2005;360:781–795. doi: 10.1098/rstb.2005.1631. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- Salvador R, Suckling J, Coleman MR, Pickard JD, Menon D, Bullmore E. Neurophysiological architecture of functional magnetic resonance images of human brain. Cereb Cortex. 2005a;15:1332–1342. doi: 10.1093/cercor/bhi016. [DOI] [PubMed] [Google Scholar] · DOI
- Salvador R, Suckling J, Schwarzbauer C, Bullmore E. Undirected graphs of frequency-dependent functional connectivity in whole brain networks. Philos Trans R Soc Lond B Biol Sci. 2005b;360:937–946. doi: 10.1098/rstb.2005.1645. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- Scannell JW, Young MP. The connectional organization of neural systems in the cat cerebral cortex. Curr Biol. 1993;3:191–200. doi: 10.1016/0960-9822(93)90331-h. [DOI] [PubMed] [Google Scholar] · DOI
- Sporns O, Chialvo DR, Kaiser M, Hilgetag CC. Organization, development and function of complex brain networks. Trends Cogn Sci. 2004;8:418–425. doi: 10.1016/j.tics.2004.07.008. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Sporns O, Honey CJ, Kotter R. Identification and classification of hubs in brain networks. PLoS ONE. 2007;2:e1049. doi: 10.1371/journal.pone.0001049. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- Sporns O, Tononi G, Edelman GM. Theoretical neuroanatomy: relating anatomical and functional connectivity in graphs and cortical connection matrices. Cereb Cortex. 2000;10:127–141. doi: 10.1093/cercor/10.2.127. [DOI] [PubMed] [Google Scholar] · DOI
- Sporns O, Tononi G, Kotter R. The human connectome: a structural description of the human brain. PLoS Comput Biol. 2005;1:e42. doi: 10.1371/journal.pcbi.0010042. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- Sporns O, Zwi JD. The small world of the cerebral cortex. Neuroinformatics. 2004;2:145–162. doi: 10.1385/NI:2:2:145. [DOI] [PubMed] [Google Scholar] · DOI
- Stam CJ. Functional connectivity patterns of human magnetoencephalographic recordings: a ‘small-world’ network? Neurosci Lett. 2004;355:25–28. doi: 10.1016/j.neulet.2003.10.063. [DOI] [PubMed] [Google Scholar] · DOI
- Stam CJ, Jones BF, Nolte G, Breakspear M, Scheltens P. Small-world networks and functional connectivity in Alzheimer's disease. Cereb Cortex. 2007;17:92–99. doi: 10.1093/cercor/bhj127. [DOI] [PubMed] [Google Scholar] · DOI
- Strogatz SH. Exploring complex networks. Nature. 2001;410:268–276. doi: 10.1038/35065725. [DOI] [PubMed] [Google Scholar] · DOI
- Toga AW, Thompson PM. Mapping brain asymmetry. Nat Rev Neurosci. 2003;4:37–48. doi: 10.1038/nrn1009. [DOI] [PubMed] [Google Scholar] · DOI
- Tononi G, Sporns O, Edelman GM. A measure for brain complexity: relating functional segregation and integration in the nervous system. Proc Natl Acad Sci USA. 1994;91:5033–5037. doi: 10.1073/pnas.91.11.5033. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- Tuch DS, Reese TG, Wiegell MR, Wedeen VJ. Diffusion MRI of complex neural architecture. Neuron. 2003;40:885–895. doi: 10.1016/s0896-6273(03)00758-x. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Tzourio-Mazoyer N, Landeau B, Papathanassiou D, Crivello F, Etard O, Delcroix N, Mazoyer B, Joliot M. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage. 2002;15:273–289. doi: 10.1006/nimg.2001.0978. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Vernooij MW, Smits M, Wielopolski PA, Houston GC, Krestin GP, van der Lugt A. Fiber density asymmetry of the arcuate fasciculus in relation to functional hemispheric language lateralization in both right- and left-handed healthy subjects: a combined fMRI and DTI study. Neuroimage. 2007;35:1064–1076. doi: 10.1016/j.neuroimage.2006.12.041. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Wakana S, Jiang HY, Nagae-Poetscher LM, van Zijl PCM, Mori S. Fiber tract-based atlas of human white matter anatomy. Radiology. 2004;230:77–87. doi: 10.1148/radiol.2301021640. [DOI] [PubMed] [Google Scholar] · DOI
- Watts DJ, Strogatz SH. Collective dynamics of ‘small-world’ networks. Nature. 1998;393:440–442. doi: 10.1038/30918. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Westbury CF, Zatorre RJ, Evans AC. Quantifying variability in the planum temporale: a probability map. Cereb Cortex. 1999;9:392–405. doi: 10.1093/cercor/9.4.392. [DOI] [PubMed] [Google Scholar] · DOI
- Woods RP, Grafton ST, Holmes CJ, Cherry SR, Mazziotta JC. Automated image registration: I. General methods and intrasubject, intramodality validation. J Comput Assist Tomogr. 1998;22:139–152. doi: 10.1097/00004728-199801000-00027. [DOI] [PubMed] [Google Scholar] · DOI
- Xu DR, Mori S, Solaiyappan M, van Zijl PCM, Davatzikos C. A framework for callosal fiber distribution analysis. Neuroimage. 2002;17:1131–1143. doi: 10.1006/nimg.2002.1285. [DOI] [PubMed] [Google Scholar] · DOI
- Young MP. The organization of neural systems in the primate cerebral cortex. Proc R Soc Lond B Biol Sci. 1993;252:13–18. doi: 10.1098/rspb.1993.0040. [DOI] [PubMed] [Google Scholar] · DOI
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 · 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
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 · see citing works
Large-scale brain networks in cognition: emerging methods and principles
Bressler, S. L., & Menon, V. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.04.004 · Cited by 2,348 · see citing works
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 · see citing works
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 · see citing works
Sex differences in the structural connectome of the human brain
Ingalhalikar, M., Smith, A., Parker, D., Satterthwaite, T. D., Elliott, M. A., Ruparel, K., Hakonarson, H., Gur, R. E., Gur, R. C., & Verma, R. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1316909110 · Cited by 1,223 · see citing works
Network attributes for segregation and integration in the human brain
Sporns, O. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.11.015 · Cited by 1,067 · see citing works
Betzel, R. F., Byrge, L., He, Y., Goñi, J., Zuo, X.-N., & Sporns, O. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.067 · Cited by 807 · see citing works
Self-citationA 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 · see citing works
Liang, X., Zou, Q., He, Y., & Yang, Y. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1214900110 · Cited by 677 · 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
Brain 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 · see citing works
Modeling the impact of lesions in the human brain
Alstott, J., Breakspear, M., Hagmann, P., Cammoun, L., & Sporns, O. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000408 · Cited by 561 · see citing works
The functional architecture of the infant brain as revealed by resting-state fMRI
Fransson, P., Åden, U., Blennow, M., & Lagercrantz, H. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq071 · Cited by 542 · see citing works
Hillebrand, A., Barnes, G. R., Bosboom, J. L., Berendse, H. W., & Stam, C. J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.005 · Cited by 416 · see citing works
Disrupted axonal fiber connectivity in schizophrenia
Zalesky, A., Fornito, A., Seal, M. L., Cocchi, L., Westin, C.-F., Bullmore, E. T., Egan, G. F., & Pantelis, C. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.08.022 · Cited by 439 · see citing works
Networks of anatomical covariance
Evans, A. C. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.054 · Cited by 429 · see citing works
Self-citationWang, J.-H., Zuo, X.-N., Gohel, S., Milham, M. P., Biswal, B. B., & He, Y. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021976 · Cited by 416 · see citing works
The Neonatal Connectome During Preterm Brain Development
van den Heuvel, M. P., Kersbergen, K. J., de Reus, M. A., Keunen, K., Kahn, R. S., Groenendaal, F., de Vries, L. S., & Benders, M. J. N. L. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu095 · Cited by 386 · see citing works
Exploring the network dynamics underlying brain activity during rest
Cabral, J., Kringelbach, M. L., & Deco, G. (2014) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2013.12.005 · Cited by 351 · see citing works
van den Heuvel, M. P., Bullmore, E. T., & Sporns, O. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.03.001 · Cited by 328 · see citing works
Mathematical framework for large-scale brain network modeling in The Virtual Brain
Sanz-Leon, P., Knock, S. A., Spiegler, A., & Jirsa, V. K. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.01.002 · Cited by 356 · see citing works
Zhang, F., Daducci, A., He, Y., Schiavi, S., Seguin, C., Smith, R. E., Yeh, C.-H., Zhao, T., & O’Donnell, L. J. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2021.118870 · Cited by 302 · see citing works
“Specifically, tractography segmentation is performed by extracting streamlines that connect pairs of ROIs.”
BackgroundInfluentialThe parcellation-based connectome: limitations and extensions
de Reus, M. A., & van den Heuvel, M. P. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.053 · Cited by 282 · see citing works
The human connectome in Alzheimer disease — relationship to biomarkers and genetics
Yu, M., Sporns, O., & Saykin, A. J. (2021) · Nature Reviews Neurology · doi:10.1038/s41582-021-00529-1 · Cited by 265 · see citing works
Diffusion tensor imaging for understanding brain development in early life
Qiu, A., Mori, S., & Miller, M. I. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015340 · Cited by 238 · see citing works
Optimally controlling the human connectome: the role of network topology
Betzel, R. F., Gu, S., Medaglia, J. D., Pasqualetti, F., & Bassett, D. S. (2016) · Scientific Reports · doi:10.1038/srep30770 · Cited by 247 · see citing works
Brain anatomical networks in early human brain development
Fan, Y., Shi, F., Smith, J. K., Lin, W., Gilmore, J. H., & Shen, D. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.07.025 · Cited by 225 · see citing works
Development Trends of White Matter Connectivity in the First Years of Life
Yap, P.-T., Fan, Y., Chen, Y., Gilmore, J. H., Lin, W., & Shen, D. (2011) · PLoS ONE · doi:10.1371/journal.pone.0024678 · Cited by 190 · see citing works
Hellyer, P. J., Scott, G., Shanahan, M., Sharp, D. J., & Leech, R. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4648-14.2015 · Cited by 187 · see citing works
Tuladhar, A. M., van Dijk, E., Zwiers, M. P., van Norden, A. G. W., de Laat, K. F., Shumskaya, E., Norris, D. G., & de Leeuw, F.-E. (2016) · Human Brain Mapping · doi:10.1002/hbm.23032 · Cited by 142 · see citing works
Moon, J.-Y., Lee, U., Blain-Moraes, S., & Mashour, G. A. (2015) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1004225 · Cited by 136 · see citing works
The Control of Mimicry by Eye Contact Is Mediated by Medial Prefrontal Cortex
Wang, Y., Ramsey, R., & de C. Hamilton, A. F. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.0845-11.2011 · Cited by 141 · see citing works
Structural connectivity asymmetry in the neonatal brain
Ratnarajah, N., Rifkin-Graboi, A., Fortier, M. V., Chong, Y. S., Kwek, K., Saw, S.-M., Godfrey, K. M., Gluckman, P. D., Meaney, M. J., & Qiu, A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.052 · Cited by 124 · see citing works
Network inefficiencies in autism spectrum disorder at 24 months.
Lewis, J. D., Evans, A. C., Pruett, J. R., Botteron, K., Zwaigenbaum, L., Estes, A., Gerig, G., Collins, L., Kostopoulos, P., McKinstry, R., et al. (2014) · Translational Psychiatry · doi:10.1038/tp.2014.24 · Cited by 110 · see citing works
Self-citationThe brain's connective core and its role in animal cognition
Shanahan, M. (2012) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2012.0128 · Cited by 115 · see citing works
Mapping putative hubs in human, chimpanzee and rhesus macaque connectomes via diffusion tractography
Li, L., Hu, X., Preuss, T. M., Glasser, M. F., Damen, F. W., Qiu, Y., & Rilling, J. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.024 · Cited by 109 · see citing works
Kim, G. H., Jeon, S., Im, K., Kwon, H., Lee, B. H., Kim, G. Y., Jeong, H., Han, N. E., Seo, S. W., Cho, H., et al. (2015) · PLOS ONE · doi:10.1371/journal.pone.0123251 · Cited by 101 · see citing works
Graph theoretical analysis of developmental patterns of the white matter network
Chen, Z., Liu, M., Gross, D. W., & Beaulieu, C. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00716 · Cited by 77 · see citing works
Self-citationChen, Y., Chen, K., Zhang, J., Li, X., Shu, N., Wang, J., Zhang, Z., & Reiman, E. M. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2014.302 · Cited by 67 · see citing works
Development of cortical anatomical properties from early childhood to early adulthood
Nie, J., Li, G., & Shen, D. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.021 · Cited by 70 · see citing works
Liang, X., Connelly, A., & Calamante, F. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.013 · Cited by 48 · see citing works
Lim, H. K., Jung, W. S., & Aizenstein, H. J. (2013) · International Psychogeriatrics · doi:10.1017/s104161021300149x · Cited by 44 · see citing works
Luo, Q., Deng, Z., Qin, J., Wei, D., Cun, L., Qiu, J., Hitchman, G., & Xie, P. (2015) · Scientific Reports · doi:10.1038/srep09710 · Cited by 42 · see citing works
Large-scale, closed-loop interrogation of neural circuits underlying cognition.
Khodagholy, D., Ferrero, J. J., Park, J., Zhao, Z., & Gelinas, J. N. (2022) · Trends in Neurosciences · doi:10.1016/j.tins.2022.10.003 · Cited by 27 · see citing works
Sairanen, V., Kuusela, L., Sipilä, O., Savolainen, S., & Vanhatalo, S. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.061 · Cited by 12 · see citing works
40 Years of diffusion MRI in the brain: From history to emerging frontiers
Le Bihan, D. (2026) · Imaging Neuroscience · doi:10.1162/imag.a.1365
“The language of “white-matter integrity”, “connectivity”, and brain connectome became embedded in contemporary neuroscience in large part because tractography made such concepts empirically tractable ( Gong, et al., 2009; Hagmann et al., 2003; Koch et al., 2002).”
Influential
- Authors
- Gong, G., He, Y., Concha, L., Lebel, C., Gross, D. W., Evans, A. C., & Beaulieu, C.
- Affiliations
- University of Alberta (CA)
- Montreal Neurological Institute and Hospital (CA)
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-06-20
- Volume
- 19
- Issue
- 3
- Pages
- 524-536
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- PMC
- PMC2722790
- OpenAlex
- W2162686834
- Cited by
- 1,112
- References
- 8
- Citations by year
- 2026: 28 · 2025: 33 · 2024: 46 · 2023: 48 · 2022: 67 · 2021: 67 · 2020: 60 · 2019: 70 · 2018: 85 · 2017: 86 · 2016: 69 · 2015: 73 · 2014: 76 · 2013: 101 · 2012: 64
- FWCI
- 35.69
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Cerebral Cortex (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Center for Research Resources (P41RR15241, P41RR015241)
- 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
- structural connectivity, small-world networks, hub regions, bridge connections, association cortex, network resilience, deterministic tractography, graph theory
- MeSH terms
- Adolescent, Adult, Brain Mapping, Cerebral Cortex, Female, Humans, Male, Nerve Net, Neural Pathways, Diffusion Magnetic Resonance Imaging, Young Adult
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