Can structure predict function in the human brain?

NeuroImage

Volumn 52, Issue 3, 2010, Pages 766-776

  Honey, Christopher J ^a   Thivierge, Jean Philippe ^b   Sporns, Olaf ^c  

^a PRINCETON UNIVERSITY   (United States)

^b NATIONAL RESEARCH COUNCIL CANADA   (Canada)

^c INDIANA UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALZHEIMER DISEASE; BRAIN FUNCTION; COGNITION; COGNITIVE DEFECT; DEPRESSION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; MENTAL PERFORMANCE; NERVE CELL NETWORK; NERVOUS SYSTEM DEVELOPMENT; NEUROANATOMY; NEUROPATHOLOGY; PRIORITY JOURNAL; REVIEW; SCHIZOPHRENIA; STATISTICAL ANALYSIS; STATISTICAL MODEL; VISUAL CORTEX; ANATOMY AND HISTOLOGY; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; BRAIN; PHYSIOLOGY;

BRAIN; HUMANS; MODELS, NEUROLOGICAL; NERVE NET; NEURAL NETWORKS (COMPUTER);

EID: 77954386968     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2010.01.071     Document Type: Review

References (145)

1. Achard S., Bullmore E. Efficiency and cost of economical brain functional networks. PLoS Comput. Biol. 2007, 3:e17.
2. Alstott J., Breakspear M., Hagmann P., Cammoun L., Sporns O. Modeling the impact of lesions in the human brain. PLoS Comput. Biol. 2009, 5:e1000408.
3. Angelucci A., Lebitt J.B., Walton E.J.S., Hipe J.M., Bullier J., et al. Circuits for local and global signal integration in primary visual cortex. J. Neurosci. 2002, 22:8633-8646.
4. Bai F., Zhang Z., Watson D.R., Yu H., Shi Y., et al. Abnormal integrity of association fiber tracts in amnestic mild cognitive impairment. J. Neurol. Sci. 2009, 278:102-106.
5. Bassett D.S., Bullmore E.T. Small-world brain networks. Neuroscientist 2006, 12:512-523.
6. Bassett D.S., Meyer-Lindenberg A., Achard S., Duke T., Bullmore E.T. Adaptive reconfiguration of fractal small-world human brain functional networks. Proc. Natl. Acad. Sci. U. S. A. 2006, 103:19518-19523.
7. Bassett D.S., Bullmore E.T., Verchinksi B.A., Mattay V.S., Weinberger D.R., Meyer-Lindenberg A. Hierarchical organization of human cortical networks in health and schizophrenia. J. Neurosci. 2008, 28:9239-9248.
8. Bassett D.S., Bullmore E.T. Human brain networks in health and disease. Curr. Opin. Neurol. 2009, 22:340-347.
9. Bertschinger N., Natschläger T. Real-time computation at the edge of chaos in recurrent neural networks. Neural Comput. 2004, 16:1413-1436.
10. Binzegger T., Douglas R.J., Martin K.A. Topology and dynamics of the canonical circuit of cat V1. Neural Netw. 2009, 22(8):1071-1078.
11. Bollmann J.H., Engert F. Subcellular topography of visually driven dendritic activity in the vertebrate visual system. Neuron 2009, 61:895-905.
12. Bosking W.H., Zhang Y., Schofield B., Fitzpatrick D. Orientation selectivity and the arrangement of horizontal connections in tree shrew striate cortex. J. Neurosci. 1997, 17:2112-2127.
13. Braitenberg V., Schüz A. Statistics and Geometry of Neuronal Connectivity 1998, Springer, Berlin.
14. Breakspear M. Nonlinear phase desynchronization in human electroencephalographic data. Hum. Brain Mapp. 2002, 15:175-198.
15. Breakspear M., Terry J., Friston K. Modulation of excitatory synaptic coupling facilitates synchronization and complex dynamics in a biophysical model of neuronal dynamics. Network Comput. Neural. Syst. 2003, 14:703-732.
16. Breakspear M., Stam C.J. Dynamics of a neural system with a multiscale architecture. Phil. Trans. Roy. Soc. B. 2005, 360:1051-1074.
17. Breakspear M., Jirsa V. Neuronal dynamics and brain connectivity. Handbook of Brain Connectivity 2007, Springer, Berlin. A.R. McIntosh, V.K. Jirsa (Eds.).
18. Breakspear M., Knock S. Kinetic models of brain activity. Brain Imaging Behav. 2008, 2:270-288.
19. Buckner R.L., Andrews-Hanna J.R., Schacter D.L. The brain's default network: anatomy, function, and relevance to disease. Ann. N.Y. Acad. Sci. 2008, 1124:1-38.
20. Buckner R.L., Sepulcre J., Talukdar T., Krienen F.M., Liu H., et al. Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer's disease. J. Neurosci. 2009, 29:1860-1873.
21. Bullmore E., Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat. Rev. Neurosci. 2009, 10:186-198.
22. Buonomano D.V., Maass W. State-dependent computations: spatiotemporal processing in cortical networks. Nat. Rev. Neurosci. 2009, 10:113-125.
23. Buzsáki G., Geisler C., Henze D.A., Wang X.J. Interneuron diversity series: circuit complexity and axon wiring economy of cortical interneurons. Trends Neurosci. 2004, 27:186-193.
24. Canals S., Beyerlein M., Merkle H., Logothetis N.K. Functional MRI evidence for LTP-induced neural network reorganization. Curr. Biol. 2009, 19:398-403.
25. Castellanos F.X., Margulies D.S., Kelly A.M.C., Uddin L.Q., Ghaffari M., et al. Cingulate-precuneus interactions: a new locus of dysfunction in adult attention-deficit/hyperactivity disorder. Biol. Psychiatry 2008, 63:332-337.
26. Chen Z.J., He Y., Rosa-Neto P., Germann J., Evans A.C. Revealing modular architecture of human brain structural networks by using cortical thickness from MRI. Cereb. Cortex 2008, 18:2374-2381.
27. Chklovskii D.B., Schikorski T., Stevens C.F. Wiring optimization in cortical circuits. Neuron 2002, 34:341-347.
28. Damoiseaux J.S., et al. Consistent resting-state networks across healthy subjects. Proc. Natl. Acad. Sci. U. S. A. 2006, 103:13848-13853.
29. Damoiseaux J.S., Greicius M.D. Greater than the sum of its parts: a review of studies combining structural connectivity and resting-state functional connectivity. Brain Struct. Funct. 2009, 213:525-533.
30. Deco G., Jirsa V., McIntosh A.R., Sporns O., Kötter R. Key role of coupling, delay, and noise in resting brain fluctuations. Proc. Natl. Acad. Sci. U. S. A. 2009, 106:10302-10307.
31. Douglas R.J., Martin K.A.C. Mapping the matrix: the ways of neocortex. Neuron 2007, 56:226-238.
32. Fair D.A., Dosenbach N.U.F., Church J.A., Cohen A.L., Brahmbhatt S., et al. Development of distinct control networks through segregation and integration. Proc. Natl. Acad. Sci. U. S. A. 2007, 104:13507-13512.
33. Fair D.A., Cohen A.L., Dosenbach N.U., Church J.A., Miezin F.M., et al. The maturing architecture of the brain's default network. Proc. Natl. Acad. Sci. U. S. A. 2008, 105:4028-4032.
34. Fair D.A., Cohen A.L., Power J.D., Dosenbach N.U.F., Church J.A., et al. Functional brain networks develop from a "local to distributed" organization. PLoS Comput. Biol. 2009, 5:e1000381.
35. Felleman D.J., van Essen D.C. Distributed hierarchical processing in the primate cerebral cortex. Cereb. Cortex 1991, 1:1-47.
36. Fransson P., Skiold B., Horsch S., Nordell A., Blennow M., et al. Resting-state networks in the infant brain. Proc. Natl. Acad. Sci. U. S. A. 2007, 104:15531-15536.
37. Freeman W. Neurodynamics 2000, Springer Verlag, London, An Exploration in Mesoscopic Brain Dynamics.
38. Freyer F., Aquino K., Robinson P.A., Ritter P., Breakspear M. Bistability and non-Gaussian fluctuations in spontaneous cortical activity. J. Neurosci. 2009, 29:8512-8524.
39. Fries P. A mechanism for cognitive dynamics: neuronal communication through neuronal coherence. Trends Cogn. Sci. 2005, 9:474-480.
40. Friston K.J. Functional and effective connectivity in neuroimaging: a synthesis. Hum. Brain Mapp. 1994, 2:56-78.
41. Garrity A.G., Pearlson G.D., McKiernan K., Lloyd D., Kiehl K.A., Calhoun V.D. Aberrant "default mode" functional connectivity in schizophrenia. Am. J. Psychiatry 2007, 164:450-457.
42. Ghosh A., Rho Y., McIntosh A.R., Kotter R., Jirsa V.K. Noise during rest enables the exploration of the brain's dynamic repertoire. PLoS Comput. Biol. 2008, 4:e1000196.
43. Gilbert C.D., Wiesel T.N. Columnar specificity of intrinsic horizontal and corticocortical connections in cat visual cortex. J. Neurosci. 1983, 9:2432-2442.
44. Gogtay N., Giedd J.N., Lusk L., Hayashi K.M., Greenstein D., et al. Dynamic mapping of human cortical development during childhood through early adulthood. Proc. Natl. Acad. Sci. U. S. A. 2004, 101:8174-8179.
45. Gong G., He Y., Concha L., Lebel C., Gross D.W., et al. Mapping anatomical connectivity patterns of human cerebral cortex using in vivo diffusion tensor imaging tractography. Cereb. Cortex 2009, 19:524-536.
46. Graziano M.S.A., Aflalo T.N. Mapping behavioral repertoire onto the cortex. Neuron 2007, 56:239-251.
47. Greicius M.D. Resting-state functional connectivity in neuropsychiatric disorders. Curr. Opin. Neurol. 2008, 21:424-430.
48. Greicius M.D., Krasnow B., Reiss A.L., Menon V. Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc. Natl. Acad. Sci. U. S. A. 2003, 100:253-258.
49. Greicius M.D., Srivastava G., Reiss A.L., Menon V. Default-mode network activity distinguishes Alzheimer's disease from healthy aging: evidence from functional MRI. Proc. Natl. Acad. Sci. U. S. A. 2004, 101:4637-4642.
50. Greicius M.D., Flores B.H., Memon V., Glover G.H., Solvason H.B., et al. Resting-state functional connectivity in major depression: abnormally increased contributions from subgenual cingulate cortex and thalamus. Biol. Psych. 2007, 62:429-437.
51. Greicius M.D., Supekar K., Menon V., Dougherty R.F. Resting state functional connectivity reflects structural connectivity in the default mode network. Cereb. Cortex 2009, 19:72-78.
52. Hagmann P., Cammoun L., Gigandet X., Meuli R., Honey C.J., et al. Mapping the structural core of human cerebral cortex. PLoS Biol. 2008, 6:e159.
53. Hampson M., Driesen N.R., Skudlarski P., Gore J.C., Constable R.T. Brain connectivity related to working memory performance. J. Neurosci. 2006, 26:13338-13343.
54. Häusler S., Schuch K., Maass W. Motif distribution and computational performance of two data-based cortical microcircuit templates. J. Physiol. (Paris) 2009, 103:73-87.
55. He B.J., Snyder A.Z., Vincent J.L., Epstein A., Shulman G.L., et al. Breakdown of functional connectivity in frontoparietal networks underlies behavioral deficits in spatial neglect. Neuron 2007, 53:905-918.
56. He B.J., Shulman G.L., Snyder A.Z., Corbetta M. The role of impaired neuronal communication in neurological disorders. Curr. Opin. Neurol. 2007, 20:655-660.
57. Hestrin S., Galarreta M. Electrical synapses define networks of neocortical GABAergic neurons. Trends Neurosci. 2005, 28:304-309.
58. Honey C.J., Sporns O. Dynamical consequences of lesions in cortical networks. Hum. Brain Mapp. 2008, 29:802-809.
59. Honey C.J., Kötter R., Breakspear M., Sporns O. Network structure of cerebral cortex shapes functional connectivity on multiple time scales. Proc. Natl. Acad. Sci. U. S. A. 2007, 104:10240-10245.
60. Honey C.J., Sporns O., Cammoun L., Gigandet X., Thiran J.P., et al. Predicting human resting-state functional connectivity from structural connectivity. Proc. Natl. Acad. Sci. U. S. A. 2009, 106:2035-2040.
61. Horton J.C., Adams D.L. The cortical column: a structure without a function. Phil. Trans. R. Soc. B. 2005, 360:837-862.
62. Hubel W. Anatomical demonstration of orientation columns in macaque monkey. J. Comp. Neurol. 1978, 77:361-380.
63. Huttenlocher P.R. Morphometric study of human cerebral cortex development. Neuropsychologia 1990, 28:517-527.
64. Ingber L., Nunez P.L. Multiple scales of statistical physics of the neocortex: application to electroencephalography. Math Comput. Model. 1990, 13:83-95.
65. Izhikevich E.M., Edelman G.M. Large-scale model of mammalian thalamocortical systems. Proc. Natl. Acad. Sci. U. S. A. 2008, 105:3593-3598.
66. Johnston J.M., Vaishnavi S.N., Smyth M.D., Zhang D., He B.J., et al. Loss of resting interhemispheric functional connectivity after complete section of the corpus callosum. J. Neurosci. 2008, 28:6453-6458.
67. Jones T.B., Bandettini P.A., Kenworthy L., Case L.K., Milleville S.C., et al. Sources of group differences in functional connectivity: an investigation applied to autism spectrum disorder. Neuroimage 2009, 49:401-414.
68. Kaiser M., Hilgetag C.C. Edge vulnerability in neural and metabolic networks. Biol. Cybern. 2004, 90:311-317.
69. Kaiser M., Hilgetag C.C. Nonoptimal component placement, but short processing paths, due to long-distance projections in neural systems. PLoS Comput. Biol. 2006, e95:2.
70. Kaiser M., Robert M., Andras P., Young M.P. Simulation of robustness against lesions of cortical networks. Eur. J. Neurosci. 2007, 25:3185-3192.
71. Kenet T., Bibitchkov D., Tsodyks M., Grinvald A., Arieli A. Spontaneously emerging cortical representations of visual attributes. Nature 2003, 425:954-956.
72. Kennedy D.P., Courchesne E. The intrinsic functional organization of the brain is altered in autism. Neuroimage 2008, 39:1877-1885.
73. Kitzbichler M.G., Smith M.L., Christensen S.R., Bullmore E. Broadband criticality of human brain network synchronization. PLoS Comput. Biol. 2009, 5:e1000314.
74. Knock S.A., McIntosh A.R., Sporns O., Kötter R., Hagmann P., Jirsa V.K. The effects of physiologically plausible connectivity structure on local and global dynamics in large scale brain models. J. Neurosci. Methods 2009, 183:86-94.
75. Koch M.A., Norris D.G., Hund-Georgiadis M. An investigation of functional and anatomical connectivity using magnetic resonance imaging. Neuroimage 2002, 16:241-250.
76. Kohn A., Zandvakili A., Smith M.A. Correlations and brain states: from electrophysiology to functional imaging. Curr. Opin. Neurobiol. 2009, 19:434-438.
77. Lichtman J.W., Smith S.J. Seeing circuits assemble. Neuron 2008, 60:441-448.
78. Linkenkaer-Hansen K., Nikouline V.V., Palva J.M., Ilmoniemi R.J. Long-range temporal correlations and scaling behavior in human brain oscillations. J. Neurosci. 2001, 21:1370-1377.
79. Liu Y., Liang M., Zhou Y., He Y., Hao Y., et al. Disrupted small-world networks in schizophrenia. Brain 2008, 131:945-961.
80. Lubenov E.V., Siapas A.G. Hippocampal theta oscillations are travelling waves. Nature 2009, 459:534-539.
81. Maass W., Natschläger T., Markram H. Real-time computing without stable states: a new framework for neural computation based on perturbations. Neural. Comput. 2002, 14:2531-2560.
82. Malach R., Amir Y., Harel M., Grinvald A. Relationship between intrinsic connections and functional architecture revealed by optical imaging and in vivo targeted biocytin injections in primate striate cortex. Proc. Natl. Acad. Sci. 1993, 90:10469-10473.
83. Masuda N., Aihara K. Global and local synchrony of coupled neurons in small-world networks. Biol. Cybern. 2004, 90:302-309.
84. McIntosh A.R., Rajah M.N., Lobaugh N.J. Functional connectivity of the medial temporal lobe relates to learning and awareness. J. Neurosci. 2003, 23:6520-6528.
85. Mesulam M.M. From sensation to cognition. Brain 1998, 121:1013-1052.
86. Meunier D., Achard S., Morcom A., Bullmore E. Age-related changes in modular organization of human brain functional networks. Neuroimage 2009, 44:715-723.
87. Micheloyannis S., Pachou E., Stam C.J., Breakspear M., Bitsios P., et al. Small-world networks and disturbed functional connectivity in schizophrenia. Schizophr. Res. 2006, 87:60-66.
88. Miller K.J., Zanos S., Fetz E.E., den Nijs M., Ojemann J.G. Decoupling the cortical power spectrum reveals real-time representation of individual finger movements in humans. J. Neurosci. 2009, 29:3132-3137.
89. Miller K.J., Weaver K.E., Ojemann J.G. Direct electrophysiological measurement of human default network areas. Proc. Natl. Acad. Sci. U. S. A. 2009, 106:12174-12177.
90. Milo R., Shen-Orr S., Itzkovitz S., Kashtan N., Chklovskii D., et al. Network motifs: simple building blocks of complex networks. Science 2002, 298:824-827.
91. Monk C.S., Peltier S.J., Wiggins J.L., Weng S.J., Carrasco M., et al. Abnormalities of intrinsic functional connectivity in autism spectrum disorders. Neuroimage 2009, 47:764-772.
92. Mortimer D., Feldner J., Vaughn T., Vetter I., Pujic Z., et al. A Bayesian model predicts the response of axons to molecular gradients. Proc. Natl. Acad. Sci. U. S. A. 2009, 106:10296-10301.
93. Mountcastle V.B. The columnar organization of the neocortex. Brain 1997, 120:4701-4722.
94. O'Keefe J., Recce M.L. Phase relationship between hippocampal place units and the EEG theta rhythm. Hippocampus 1993, 317-330.
95. Ostojic S., Brunel N., Hakim V. How connectivity, background activity, and synaptic properties shape the cross-correlation between spike trains. J. Neurosci. 2009, 29:10234-10253.
96. Pakkenberg B., Gundersen H.J.G. Neocortical neuron number in humans: effect of sex and age. J. Comp. Neurol. 1997, 384:312-320.
97. Peters A., Sethares C. Myelinated axons and the pyramidal modules in monkey primary visual cortex. J. Comp. Neurol. 1996, 365:232-255.
98. Ponten S.C., Daffertshofer A., Hillebrand A., Stam C.J. The relationship between structural and functional connectivity: graph theoretical analysis of an EEG neural mass model. NeuroImage. 2009, 10.1016/j.neuroimage.2009.10.049.
99. Prinz A.A., Bucher D., Marder E. Similar network activity from disparate circuit parameters. Nat. Neurosci. 2004, 7:1345-1352.
100. Raichle M.E., MacLeod A.M., Snyder A.Z., Powers W.J., Gusnard D.A., Shulman G.L. A default mode of brain function. Proc. Natl. Acad. Sci. U. S. A. 2001, 98:676-682.
101. Reid A.T., Krumnack A., Wanke E., Kötter R. Optimization of cortical hierarchies with continuous scales and ranges. Neuroimage 2009, 47:611-617.
102. Roopun AK., Kramer MA, Carracedo LM, Kaiser M, Davies CH, Traub RD, Kopell NJ, Whittington MA Period concatenation underlies interactions between gamma and beta rhythms in neocortex. Front. Cell Neurosci. 2008, 2:1. 10.3389/neuro.03.001.2008.
103. Rounis E., Stephan K.E., Lee L., Siebner H.R., Pesenti A., et al. Acute changes in frontoparietal activity after repetitive transcranial magnetic stimulation over the dorsolateral prefrontal cortex in a cued reaction time task. J. Neurosci. 2006, 26:9629-9638.
104. Rubino D., Robbins K.A., Hatsopoulos N.G. Propagating waves mediate information transfer in the motor cortex. Nat. Neurosci. 2006, 9:1549-1557.
105. Rubinov M., Sporns O., van Leeuwen C., Breakspear M. Symbiotic relationship between brain structure and dynamics. BMC Neurosci. 2009, 10:55.
106. Rubinov M., Sporns O. Propagating waves mediate information transfer in the motor cortex. Neuroimage 2010, 52:1063-1073.
107. Scholz J, Klein MC, Behrens TEJ, Johansen-Berg H Training induces changes in white-matter architecture. Nat. Neurosci. 2009, 10.1038/nn.2412.
108. Serre T., Oliva A., Poggio T. A feedforward architecture accounts for rapid categorization. Proc. Natl. Acad. Sci. U. S. A. 2007, 104:6424-6429.
109. Shehzad Z, Kelly AMC, Reiss PT, Gee DG, Gotimer K, et al. The resting brain: unconstrained yet reliable. Cereb. Cortex. 2009, 10.1093/cercor/bhn256.
110. Sholl D.A. Dendritic organization in the neurons of the visual and motor cortices of the cat. J. Anat. 1953, 87:387-406.
111. Skudlarski P., Jagannathan K., Calhoun V.D., Hampson M., Skudlarska B.A., et al. Measuring brain connectivity: diffusion tensor imaging validates resting state temporal correlations. Neuroimage 2008, 43:554-561.
112. Smith S.M., Fox P.T., Miller K.L., Glahn D.C., Fox P.M., et al. Correspondence of the brain's functional architecture during activation and rest. Proc. Natl. Acad. Sci. U. S. A. 2009, 106:13040-13045.
113. Song S., Sjöström P.J., Reigl M., Nelson S., Chklovskii D.B. Highly nonrandom features of synaptic connectivity in local cortical circuits. PLoS Biol. 2005, 3:e68.
114. Sorg C., Riedl V., Mühlau M., Calhoun V.D., Eichele T., et al. Selective changes of resting-state networks in individuals at risk for Alzheimer's disease. Proc. Natl. Acad. Sci. U. S. A. 2007, 104:18760-18765.
115. Sperling R.A., LaViolette P.S., O'Keefe K., O'Brian J., Rentz D.M., et al. Amyloid deposition is associated with impaired network function in older persons without dementia. Neuron 2009, 63:178-188.
116. Sporns O., Tononi G., Edelman G.M. Theoretical neuroanatomy: relating anatomical and functional connectivity in graphs and cortical connection matrices. Cereb. Cortex 2000, 10:127-141.
117. Sporns O., Kötter R. Motifs in brain networks. PLoS Biol. 2004, 2:1910-1918.
118. Sporns O., Chialvo D., Kaiser M., Hilgetag C.C. Organization, development and function of complex brain networks. Trends Cogn. Sci. 2004, 8:418-425.
119. Sporns O., Zwi J. The small world of the cerebral cortex. Neuroinformatics 2004, 2:145-162.
120. Sporns O., Tononi G., Kötter R. The human connectome: a structural description of the human brain. PLoS Comput. Biol. 2005, 1:245-251.
121. Sporns O., Honey C.J., Kötter R. Identification and classification of hubs in brain networks. PLoS ONE 2007, 2:e1049.
122. Stam C.J. Functional connectivity patterns of human magnetoencephalographic recordings: a 'small-world' network?. Neurosci. Lett. 2004, 355:25-28.
123. Stam C.J., de Bruin E.A. Scale-free dynamics of global functional connectivity in the human brain. Hum. Brain Mapp. 2004, 22:97-109.
124. Stam C.J., Jones B.F., Nolte G., Breakspear M., Scheltens P. Small-world networks and functional connectivity in Alzheimer's disease. Cereb. Cortex 2007, 17:92-99.
125. Stepanyants A., Tamás G., Chklovskii D.B. Class-specific features of neuronal wiring. Neuron 2004, 43:251-259.
126. Stephan K.E., Tittgemeyer M., Knösche T.R., Moran R.J., Friston K.J. Tractography-based priors for dynamic causal models. Neuroimage 2009, 47:1628-1638.
127. Supekar K., Musen M., Menon V. Development of large-scale functional brain networks in children. PLoS Biol. 2009, 7:e1000157.
128. Sussillo D., Abbott L.F. Generating coherent patterns of activity from chaotic neural networks. Neuron 2009, 63:544-557.
129. Thivierge J.P., Marcus G.F. The topographic brain: from neural connectivity to cognition. Trends Neurosci. 2007, 30:251-259.
130. Thomson A.M., Bannister A.P. Interlaminar connections in the neocortex. Cereb. Cortex 2003, 13:5-14.
131. Tononi G., Sporns O., Edelman G.M. Measures of degeneracy and redundancy in biological networks. Proc. Natl. Acad. Sci. U. S. A. 1999, 96:3257-3262.
132. Tsodyks M., Kenet T., Grinvald A., Arieli A. Linking spontaneous activity of single cortical neurons and the underlying functional architecture. Science 1999, 286:1943-1946.
133. Tsuda I. Towards an interpretation of dynamic neural activity in terms of chaotic dynamical systems. Behav. Brain Sci. 2001, 24:793-847.
134. Uttley A.M. The probability of neural connexions. Proc. R. Soc. B. 1955, 144:229-240.
135. Van den Heuvel M.P., Mandl R.C.W., Kahn R.S., Hulshoff Pol H.E. Functionally linked resting-state networks reflect the underlying structural connectivity architecture of the human brain. Hum. Brain Mapp. 2009, 30:3127-3141.
136. Van den Heuvel M.P., Stam C.J., Kahn R.S., Hulshoff Pol H.E. Efficiency of functional brain networks and intellectual performance. J. Neurosci. 2009, 29:7619-7624.
137. Van Dijk K.R., Hedden T., Venkataraman A., Evans K.C., Lazar S.W., Buckner R.L. Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. J. Neurophysiol. 2009, 103(1):297-321.
138. Vicente R., Gollo L.L., Mirasso C.R., Fischer I., Pipa G. Dynamical relaying can yield zero time lag neuronal synchrony despite long conduction delays. Proc. Natl. Acad. Sci. U. S. A. 2008, 105:17157-17162.
139. Vincent J.L., Patel G.H., Fox M.D., Snyder A.Z., Baker J.T., et al. Intrinsic functional architecture in the anaesthetized monkey brain. Nature 2007, 447:83-86.
140. Wang K., Liang M., Wang L., Tian L., Zhang X., et al. Altered functional connectivity in early Alzheimer's disease: a resting-state fMRI study. Hum. Brain Mapp. 2007, 28:967-978.
141. Young M.P. Objective analysis of the topological organization of the primate cortical visual system. Nature 1992, 358:152-155.
142. Young P.Y., Hilgetag C.C., Scannell J.W. On imputing function to structure from the behavioural effects of brain lesions. Philos. Trans. R. Soc. Lond., B. Biol. Sci. 2000, 355:147-161.
143. Zeki S.M. Functional specialization in the visual cortex of the rhesus monkey. Nature 1978, 274:423-428.
144. Zeki S., Shipp S. The functional logic of cortical connections. Nature 1988, 335:311-317.
145. Zhang D., Snyder A.Z., Fox M.D., Sansbury M.W., Shimony J.S., et al. Intrinsic functional relations between human cerebral cortex and thalamus. J. Neurophysiol. 2008, 100:1740-1748.