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Small-World Anatomical Networks in the Human Brain Revealed by Cortical Thickness from MRI

He, Yong, Chen, Zhang J., Evans, Alan C.·2007·Cerebral Cortex
DOI 10.1093/cercor/bhl149
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Abstract

An important issue in neuroscience is the characterization for the underlying architectures of complex brain networks. However, little is known about the network of anatomical connections in the human brain. Here, we investigated large-scale anatomical connection patterns of the human cerebral cortex using cortical thickness measurements from magnetic resonance images. Two areas were considered anatomically connected if they showed statistically significant correlations in cortical thickness and we constructed the network of such connections using 124 brains from the International Consortium for Brain Mapping database. Significant short- and long-range connections were found in both intra- and interhemispheric regions, many of which were consistent with known neuroanatomical pathways measured by human diffusion imaging. More importantly, we showed that the human brain anatomical network had robust small-world properties with cohesive neighborhoods and short mean distances between regions that were insensitive to the selection of correlation thresholds. Additionally, we also found that this network and the probability of finding a connection between 2 regions for a given anatomical distance had both exponentially truncated power-law distributions. Our results demonstrated the basic organizational principles for the anatomical network in the human brain compatible with previous functional networks studies, which provides important implications of how functional brain states originate from their structural underpinnings. To our knowledge, this study provides the first report of small-world properties and degree distribution of anatomical networks in the human brain using cortical thickness measurements.

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Research works printed but not linked: 63

  1. Achard, 2006, A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs, J Neurosci, 26, 63, 10.1523/JNEUROSCI.3874-05.2006 · DOI · Paper page
  2. Andrews, 1997, Correlated size variations in human visual cortex, lateral geniculate nucleus, and optic tract, J Neurosci, 17, 2859, 10.1523/JNEUROSCI.17-08-02859.1997 · DOI · Paper page
  3. Barrat, 2004, The architecture of complex weighted networks, Proc Natl Acad Sci USA, 101, 3747, 10.1073/pnas.0400087101 · DOI · Paper page
  4. Batagelj, 1998, Pajek—program for large network analysis, Connections, 21, 47
  5. Bullmore, 1998, Does dysplasia cause anatomical dysconnectivity in schizophrenia?, Schizophr Res, 30, 127, 10.1016/S0920-9964(97)00141-2 · DOI
  6. Collins, 1995, Automatic 3D model-based neuroanatomical segmentation, Hum Brain Mapp, 33, 190, 10.1002/hbm.460030304 · DOI · Paper page
  7. Crick, 1993, Backwardness of human neuroanatomy, Nature, 361, 109, 10.1038/361109a0 · DOI · Paper page
  8. Dougherty, 2005, Functional organization of human occipital-callosal fiber tracts, Proc Natl Acad Sci USA, 102, 7350, 10.1073/pnas.0500003102 · DOI
  9. Eguiluz, 2005, Scale free brain functional networks, Phys Rev Lett, 94, 018102, 10.1103/PhysRevLett.94.018102 · DOI · Paper page
  10. Ferrer, 1995, Transforming growth factor-alpha immunoreactivity in the developing adult brain, Neuroscience, 66, 189, 10.1016/0306-4522(94)00584-R · DOI
  11. Genovese, 2002, Thresholding of statistical maps in functional neuroimaging using the false discovery rate, Neuroimage, 15, 870, 10.1006/nimg.2001.1037 · DOI · Paper page
  12. Hilgetag, 2006, Role of mechanical factors in the morphology of the primate cerebral cortex, PLoS Comput Biol, 2, e22, 10.1371/journal.pcbi.0020022 · DOI · Paper page
  13. Hilgetag, 2000, 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, 355, 91, 10.1098/rstb.2000.0551 · DOI · Paper page
  14. Hofer, 2006, Topography of the human corpus callosum revisited—comprehensive fiber tractography using diffusion tensor magnetic resonance imaging, Neuroimage, 32, 989, 10.1016/j.neuroimage.2006.05.044 · DOI · Paper page
  15. Huang, 2005, DTI tractography based parcellation of white matter: application to the mid-sagittal morphology of corpus callosum, Neuroimage, 26, 195, 10.1016/j.neuroimage.2005.01.019 · DOI · Paper page
  16. Humphries, 2005, The brainstem reticular formation is a small world, not scale-free, network, Proc R Soc Lond B Biol Sci, 273, 503, 10.1098/rspb.2005.3354 · DOI · Paper page
  17. Jiang, 2004, Modulation of functional connectivity during the resting state and the motor task, Hum Brain Mapp, 22, 63, 10.1002/hbm.20012 · DOI
  18. Kaiser, 2004, Modelling the development of cortical networks, Neurocomputing, 58–60, 297, 10.1016/j.neucom.2004.01.059 · DOI
  19. Kamada, 1989, An algorithm for drawing general undirected graphs, Inform Process Lett, 31, 7, 10.1016/0020-0190(89)90102-6 · DOI · Paper page
  20. Kim, 2005, Automated 3-D extraction and evaluation of the inner and outer cortical surfaces using a Laplacian map and partial volume effect classification, Neuroimage, 27, 210, 10.1016/j.neuroimage.2005.03.036 · DOI · Paper page
  21. Lee, 2006, A novel quantitative cross-validation of different cortical surface reconstruction algorithms using MRI phantom, Neuroimage, 31, 572, 10.1016/j.neuroimage.2005.12.044 · DOI · Paper page
  22. Lerch, 2005, Cortical thickness analysis examined through power analysis and a population simulation, Neuroimage, 24, 163, 10.1016/j.neuroimage.2004.07.045 · DOI · Paper page
  23. Lerch, 2005, Focal decline of cortical thickness in Alzheimer's disease identified by computational neuroanatomy, Cereb Cortex, 15, 995, 10.1093/cercor/bhh200 · DOI · Paper page
  24. Lerch, 2006, Mapping anatomical correlations across cerebral cortex (MACACC) using cortical thickness from MRI, Neuroimage, 31, 993, 10.1016/j.neuroimage.2006.01.042 · DOI · Paper page
  25. MacDonald, 2000, Automated 3-D extraction of inner and outer surfaces of cerebral cortex from MRI, Neuroimage, 12, 340, 10.1006/nimg.1999.0534 · DOI · Paper page
  26. Makris, 2005, Segmentation of subcomponents within the superior longitudinal fascicle in humans: a quantitative, in vivo, DT-MRI study, Cereb Cortex, 15, 854, 10.1093/cercor/bhh186 · DOI · Paper page
  27. Maslov, 2002, Specificity and stability in topology of protein networks, Science, 296, 910, 10.1126/science.1065103 · DOI · Paper page
  28. Mazziotta, 2001, A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM), Philos Trans R Soc Lond B Biol Sci, 356, 1293, 10.1098/rstb.2001.0915 · DOI · Paper page
  29. Mechelli, 2005, Structural covariance in the human cortex, J Neurosci, 25, 8303, 10.1523/JNEUROSCI.0357-05.2005 · DOI · Paper page
  30. Micheloyannis, 2006, Using graph theoretical analysis of multi channel EEG to evaluate the neural efficiency hypothesis, Neurosci Lett, 402, 273, 10.1016/j.neulet.2006.04.006 · DOI · Paper page
  31. Milo, 2002, Network motifs: simple building blocks of complex networks, Science, 298, 824, 10.1126/science.298.5594.824 · DOI · Paper page
  32. Mitelman, 2005, Cortical intercorrelations of frontal area volumes in schizophrenia, Neuroimage, 27, 753, 10.1016/j.neuroimage.2005.05.024 · DOI
  33. Narr, 2005, Mapping cortical thickness and gray matter concentration in first episode schizophrenia, Cereb Cortex, 15, 708, 10.1093/cercor/bhh172 · DOI · Paper page
  34. Parent, 1995, Human neuroanatomy
  35. Parker, 2005, Lateralization of ventral and dorsal auditory-language pathways in the human brain, Neuroimage, 24, 656, 10.1016/j.neuroimage.2004.08.047 · DOI · Paper page
  36. Petrides, 2005, Lateral prefrontal cortex: architectonic and functional organization, Philos Trans R Soc Lond B Biol Sci, 2005, 781, 10.1098/rstb.2005.1631 · DOI · Paper page
  37. Robbins, 2004, Tuning and comparing spatial normalization methods, Med Image Anal, 8, 311, 10.1016/j.media.2004.06.009 · DOI
  38. Salvador, 2005, Neurophysiological architecture of functional magnetic resonance images of human brain, Cereb Cortex, 15, 1332, 10.1093/cercor/bhi016 · DOI · Paper page
  39. Salvador, 2005, Undirected graphs of frequency-dependent functional connectivity in whole brain networks, Philos Trans R Soc Lond B Biol Sci, 360, 937, 10.1098/rstb.2005.1645 · DOI · Paper page
  40. Sporns, 2004, Organization, development and function of complex brain networks, Trends Cogn Sci, 8, 418, 10.1016/j.tics.2004.07.008 · DOI · Paper page
  41. Sporns, 2002, Classes of network connectivity and dynamics, Complexity, 7, 28, 10.1002/cplx.10015 · DOI
  42. Sporns, 2000, Theoretical neuroanatomy: relating anatomical and functional connectivity in graphs and cortical connection matrices, Cereb Cortex, 10, 127, 10.1093/cercor/10.2.127 · DOI · Paper page
  43. Sporns, 2004, The small world of the cerebral cortex, Neuroinformatics, 2, 145, 10.1385/NI:2:2:145 · DOI · Paper page
  44. Stam, 2004, Functional connectivity patterns of human magnetoencephalographic recordings: a ‘small-world’ network?, Neurosci Lett, 355, 25, 10.1016/j.neulet.2003.10.063 · DOI · Paper page
  45. Stam, 2007, Small-world networks and functional connectivity in Alzheimer's disease, Cereb Cortex, 17, 92, 10.1093/cercor/bhj127 · DOI · Paper page
  46. Steinmetz, 1994, Discordant brainsurface anatomy in monozygotic twins, N Engl J Med, 331, 951, 10.1056/NEJM199410063311419 · DOI
  47. Stephan, 2000, Computational analysis of functional connectivity between areas of primate cerebral cortex, Philos Trans R Soc Lond B Biol Sci, 355, 111, 10.1098/rstb.2000.0552 · DOI · Paper page
  48. Stephan, 2001, Advanced database methodology for the collation of connectivity data on the Macaque brain (CoCoMac), Philos Trans R Soc Lond B Biol Sci, 356, 1159, 10.1098/rstb.2001.0908 · DOI · Paper page
  49. Strogatz, 2001, Exploring complex networks, Nature, 410, 268, 10.1038/35065725 · DOI · Paper page
  50. Suddath, 1990, Anatomical abnormalities in the brains of monozygotic twins discordant for schizophrenia, N Engl J Med, 322, 789, 10.1056/NEJM199003223221201 · DOI · Paper page
  51. Thompson, 2001, Genetic influences on brain structure, Nat Neurosci, 4, 1253, 10.1038/nn758 · DOI · Paper page
  52. Toga, 2003, Mapping brain asymmetry, Nat Rev Neurosci, 4, 37, 10.1038/nrn1009 · DOI · Paper page
  53. Tononi, 1998, Complexity and coherency: integrating information in the brain, Trends Cogn Sci, 2, 474, 10.1016/S1364-6613(98)01259-5 · DOI · Paper page
  54. Tootell, 2003, Neuroimaging weighs in: humans meet macaques in “primate” visual cortex, J Neurosci, 23, 3981, 10.1523/JNEUROSCI.23-10-03981.2003 · DOI
  55. Tuch, 2005, Q-ball imaging of macaque white matter architecture, Philos Trans R Soc Lond B Biol Sci, 360, 869, 10.1098/rstb.2005.1651 · DOI
  56. Wakana, 2004, Fiber tract-based atlas of human white matter anatomy, Radiology, 2003, 77, 10.1148/radiol.2301021640 · DOI · Paper page
  57. Watkins, 2001, Structural asymmetries in the human brain: a voxel-based statistical analysis of 142 MRI scans, Cereb Cortex, 11, 868, 10.1093/cercor/11.9.868 · DOI · Paper page
  58. Watts, 1998, Collective dynamics of ‘small-world’ networks, Nature, 393, 440, 10.1038/30918 · DOI · Paper page
  59. Woodruff, 1997, Structural brain abnormalities in male schizophrenics reflect fronto-temporal dissociation, Psychol Med, 27, 1257, 10.1017/S0033291797005229 · DOI
  60. Worsley, 2005, Comparing functional connectivity via thresholding correlations and singular value decomposition, Philos Trans R Soc Lond B Biol Sci, 360, 913, 10.1098/rstb.2005.1637 · DOI
  61. Wright, 1999, Supra-regional brain systems and the neuropathology of schizophrenia, Cereb Cortex, 9, 366, 10.1093/cercor/9.4.366 · DOI
  62. Zarei, 2006, Functional anatomy of interhemispheric cortical connections in the human brain, J Anat, 209, 311, 10.1111/j.1469-7580.2006.00615.x · DOI
  63. Zijdenbos, 2002, Automatic “pipeline” analysis of 3-D MRI data for clinical trials: application to multiple sclerosis, IEEE Trans Med Imaging, 21, 1280, 10.1109/TMI.2002.806283 · DOI · Paper page

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Metadata

Authors
He, Y., Chen, Z. J., & Evans, A. C.
Venue
Cerebral Cortex
Publisher
Oxford University Press (OUP)
Published
2007-01-04
Volume
17
Issue
10
Pages
2407-2419
ISSN
  • 1047-3211 (ISSN-L)
  • 1460-2199
DOI
10.1093/cercor/bhl149
OpenAlex
W2133015986
Cited by
1,353
References
15
FWCI
20.57
Type
journal article
Language
en
Open access
closed

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He, Y., Chen, Z. J., & Evans, A. C. (2007). Small-World Anatomical Networks in the Human Brain Revealed by Cortical Thickness from MRI. Cerebral Cortex. https://doi.org/10.1093/cercor/bhl149

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