Identification and classification of hubs in brain networks

PLoS ONE

Volumn 2, Issue 10, 2007, Pages

  Sporns, Olaf ^a   Honey, Christopher J ^a   Kötter, Rolf ^b,c  

^a INDIANA UNIVERSITY   (United States)

^b RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

^c HEINRICH HEINE UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BRAIN CORTEX; BRAIN FUNCTION; BRAIN REGION; CAT; COGNITION; CONTROLLED STUDY; FUNCTIONAL ANATOMY; MACACA; NERVE CELL NETWORK; NERVE FIBER; NEUROSCIENCE; NONHUMAN; PROTEIN MOTIF; RELIABILITY; ALGORITHM; ANIMAL; AUDIOVISUAL EQUIPMENT; BIOLOGICAL MODEL; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; HISTOLOGY; NERVE TRACT; PHYSIOLOGY; PROTEIN ANALYSIS; SPECIES DIFFERENCE; STATISTICAL MODEL;

MAMMALIA;

ALGORITHMS; ANIMALS; BRAIN; BRAIN MAPPING; CATS; CEREBRAL CORTEX; COMPUTER SIMULATION; MACACA; MODELS, ANATOMIC; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NERVE NET; NEURAL PATHWAYS; PROTEIN INTERACTION MAPPING; SPECIES SPECIFICITY;

EID: 38349140387     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0001049     Document Type: Article

References (70)

1. Felleman DJ, Van Essen DC (1991) Distributed hierarchical processing in the primate cerebral cortex. Cereb Cortex 1: 1-47.
2. Scannell JW, Burns GAPC, Hilgetag CC, O'Neil MA, Young MP (1999) The connectional organization of the cortico-thalamic system of the cat. Cereb Cortex 9: 277-299.
3. Lewis JW, Van Essen DC (2000) Mapping of architectonic subdivisions in the macaque monkey, with emphasis on parieto-occipital cortex. J Comp Neurol 428: 79-111.
4. Sporns O, Chialvo D, Kaiser M, Hilgetag CC (2004) Organization, development and function of complex brain networks. Trends Cogn Sci 8: 418-425.
5. Sporns O (2002) Graph theory methods for the analysis of neural connectivity patterns. In: Kötter R, ed (2002) Neuroscience Databases. Boston: Klüwer. pp 171-186.
6. Hilgetag CC, Kötter R, Stephan KE, Sporns O (2002) Computational methods for the analysis of brain connectivity. In: Ascoli GA, ed (2002) Computational Neuroanatomy-Principles and Methods. Totowa: Humana Press. pp 295-335.
7. Hilgetag CC, Burns GAPC, O'Neill MA, Scannell JW, Young MP (2000) Anatomical connectivity defines the organization of clusters of cortical areas in the macaque monkey and the cat. Phil Trans R Soc Lond B 355: 91-110.
8. Sporns O, Tononi G, Edelman GM (2000) Theoretical neuroanatomy: Relating anatomical and functional connectivity in graphs and cortical connection matrices. Cereb Cortex 10: 127-141.
9. Stephan KE, Hilgetag CC, Burns GAPC, O'Neill MA, Young MP et al (9000) Computational analysis of functional connectivity between areas of primate cerebral cortex. Phil Trans Roy Soc Lond B 355: 111-126.
10. Sporns O, Zwi J (2004) The small world of the cerebral cortex. Neuroinformatics 2: 145-162.
11. Bassett DS, Bullmore E (2006) Small-world brain networks. The Neuroscientist 12: 512-523.
12. Tononi G, Edelman GM, Sporns O (1998) Complexity and coherency: Integrating information in the brain. Trends Cogn Sci 2: 474-484.
13. Friston KJ (2002) Beyond phrenology: what can neuroimaging tell us about distributed circuitry?. Annu Rev Neurosci 25: 221-250.
14. Sporns O (2006) Small-world connectivity, motif composition, and complexity of fractal neuronal connections. BioSystems 85: 55-64.
15. Kaiser M, Hilgetag CC (2006) Nonoptimal component placement, but short processing paths, due to long-distance projections in neural systems. PLoS Comput. Biol. 2: 805-815.
16. Buzsaki G, Geisler C, Henze DA, Wang XJ (2004) Interneuron diversity series: Circuit complexity and axon wiring economy of cortical interneurons. Trends Neurosci 27: 186-193.
17. Masuda N, Aihara K (2004) Global and local synchrony of coupled neurons in small-world networks. Biol. Cybern 90: 302-309.
18. Passingham RE, Stephan KE, Kötter R (2002) The anatomical basis of functional localization in the cortex. Nature Rev Neurosci 3: 606-616.
19. Köter R, Stephan KE (2003) Network participation indices: Characterizing component roles for information processing in neural networks. Neural Networks 16: 1261-1275.
20. Sporns O, Kötter R (2004) Motifs in brain networks. PLoS Biology 2: 1910-1918.
21. Achard S, Salvador R, Whitcher B, Suckling J, Bullmore E (2006) A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs. J Neurosci 26: 63-72.
22. Bassett DS, Meyer-Lindenberg A, Achard S, Duke T, Bullmore E (2006) Adaptive reconfiguration of fractal small-world human brain functional networks. Proc. Natl. Acad. Sci. U S A 103: 19518-19523.
23. Achard S, Bullmore E (2007) Efficiency and cost of economical brain functional networks. PLoS Comput. Biol. 3: e17.
24. Honey CJ, Köter R, Breakspear M, Sporns O (2007) Network structure of cerebral cortex shapes functional connectivity on multiple time scales. Proc Natl Acad Sci U S A 104: 10240-10245.
25. Milo R, Shen-Orr S, Itzkovitz S, Kashtan N, Chklovskii D, et al. (2002) Network motifs: simple building blocks of complex networks. Science 298: 824-827.
26. Milo R, Itzkovitz S, Kashtan N, Levitt R, Shen-Orr S, et al. (2004) Superfamilies of evolved and designed networks. Science 303: 1538-1542.
27. Wasserman S, Faust K (1994) Social Natwork Analysis: Methods and Applications. Cambridge Univ. Press.
28. Guimera R, Amaral LAN (2005) Functional cartography of complex metabolic networks. Nature 433: 895-900.
29. Stephan KE, Kamper L, Bozkurt A, Burns GA, Young MP, et al. (2001) Advanced database methodology for the collation of the connectivity data on the macaque brain (CoCoMac). Philos Trans R Soc Lond B Biol Sci. 356: 1159-1186.
30. Köter R (2004) Online retrieval, processing, and visualization of primate connectivity data from the CoCoMac database. Neuroinformatics 2: 127-144.
31. Köter R, Wanke E (2005) Mapping brains without coordinates. Phil. Trans. R. Soc. Lond. B 360: 751-766.
32. Van Essen DC, Dickson J, Harwell J, Hanlon D, Anderson CH, et al. (2001) An integrated software system for surface-based analyses of cerebral cortex. J Amer Med Inform Assoc 8: 443-359.
33. Watts DJ, Strogatz SH (1998) Collective dynamics of 'small-world' networks. Nature 393: 440-442.
34. Humphries MD, Gurney K, Prescott TJ (2006) The brainstem reticular formation is a small-world, not scale-free, network. Proc Roy Soc B Biol Sci 273: 503-511.
35. Maslov S, Sneppen K (2002) Specificity and stability in topology of protein networks. Science 296: 910-913.
36. Artzy-Randrup Y, Fleishman SJ, Ben-Tal N, Stone L (2004) Comment on "Network motifs: Simple building blocks of complex networks" and "Super-families of evolved and designed networks". Science 305: 1107c.
37. Freeman LC (1977) A set of measures of centrality based on betweenness. Sociometry 40: 35-41.
38. Freeman LC (1979) Centrality in social networks: Conceptual clarification. Social Networks 1: 215-239.
39. Latora V, Marchiori M (2001) Efficient behavior of small-world networks. Phys. Rev, Lett. 87 (19): 198701-198704.
40. Gleich D (2006) MatlabBGL. Accessed via http://www.stanford.edu/~dgleich/ programs/matlab_bgl/.
41. Newman MEJ (2006) Modularity and community structure in networks. Proc. Natl. Acad. Sci. USA 103: 8577-8582.
42. Guimera R, Sales-Pardo M, Amaral LAN (2007) Classes of complex networks defined by role-to-role connectivity profiles. Nature Physics 3: 63-69.
43. Stein BE, Meredith MA (1993) The merging of the senses. Cambridge: MIT Press.
44. Mesulam MM (1998) From sensation to cognition. Brain 121: 1013-1052.
45. Wallace MT, Ramachandran R, Stein BE (2004) A revised view of sensory cortical parcellation. Proc Natl Acad, Sci U S A 101: 2167-2172
46. Kaiser M, Hilgetag CC (2004) Edge vulnerability in neural and metabolic networks. Biol Cybern 90: 311-317.
47. Kaiser M, Robert M, Andras P, Young MP (2007) Simulation of robustness against lesions of cortical networks. Eur J Neurosci 25: 3185-3192.
48. Schiller PH, Lee K (1991) The role of primate extrastriate area V4 in vision. Science 251: 1251-1253.
49. Schiller PH (1995) Effect of lesions in visual cortical area V4 on the recognition of transformed objects. Nature 376: 342-344.
50. De Weerd P, Desimone R, Ungerleider L (2003) Generalized deficits in visual selective attention after V4 and TEO lesions in macaques. Eur J. Neurosci. 18: 1671-1691.
51. Goldman-Rakic PS (1996) The prefrontal landscape: implications of functional architecture for understanding human mentation and the central executive. Philos Trans R Soc Lond B Biol Sci 351: 1445-1453.
52. Quintana J, Fuster JM (1999) From perception to action: temporal integrative functions of prefrontal and parietal neurons. Cereb Cortex. 9: 213-221.
53. Fuster JM (1997) The Prefrontal Cortex (Third Edition), Philadelphia: Lippincott-Raven.
54. Miller EK, Cohen JD (2001) An integrative theory of prefrontal cortex function. Annu Rev Neurosci. 24: 167-202.
55. Sakai K, Rowe JB, Passingham RE (2002) Active maintenance in prefrontal area 46 creates distractor-resistant memory. Nature Neurosci 5: 479-484.
56. Leon MI, Shadlen MN (1999) Effect of expected reward magnitude on the response of neurons in the dorsolateral prefrontal cortex of the macaque. Neuron 24: 415-425.
57. Sommer MA, Wurtz RH (2001) Frontal eye field sends delay activity related to movement, memory, and vision to the superior colliculus. J Neurophysiol 85: 1673-1685.
58. Vezoli J, Falchier A, Jouve B, Knoblauch K, Young M, et al. (2004) Quantitative analysis of connectivity in the visual cortex: Extracting function from structure. Neuroscientist 10: 476-482.
59. Striedter GF (2005). Principles of Brain Evolution. Sunderland, MA. Sinauer.
60. Heintz N (2004) Gene Expression Nervous System Atlas (GENSAT). Nature Neurosci 7: 483.
61. Wickersham IR, Finke S, Conzelmann KK, Callaway EM (2007) Retrograde neuronal tracing with a deletion-mutant rabies virus. Nature Methods 4: 47-49.
62. Dodt H-U, Leischner U, Schierloh A, Jahrling N, Mauch CP, et al. (2007) Ultramicroscopy: Three-dimensional visualization of neuronal networks in the whole mouse brain. Nature Methods 4: 331-336.
63. LeBihan D (2003) Looking into the functional architecture of the brain with diffusion MRL Nature Rev Neurosci 4: 469-480.
64. Hagmann P, Kurant M, Gigandet X, Thiran P, Wedeen V, et al. (2007) Mapping networks of structural connectivity in the brain with diffusion MRI. PLoS ONE 2: e597.
65. Sporns O, Tononi G, Kötter R (2005) The human connectome: A structural description of the human brain. PLoS Comput Biol 1: 245-251.
66. Kasthuri N, Lichtman JW (2007)The rise of the 'projectome'. Nature Methods 4: 307-308.
67. Da Costa L, Sporns O (2006) Hierarchical features of large-scale cortical connectivity. Eur Phys J B 48: 567-573.
68. Itturia-Medina Y, Canales-Rodriguez EJ, Melia-Garcia L, Valdes-Hernandez PA, Martinez-Montes E, et al. (2007) Characterizing brain anatomical connections using diffusion weighted MRI and graph theory. NeuroImage 36: 645-660.
69. Batagelj B, Mrvar A (1998) Pajek-Program for Large Network Analysis. Connections 21: 47-57.
70. Kamada T, Kawai S (1989) An algorithm for drawing general undirected graphs. Inf Proc Lett 31: 7-15.