Brain graphs: Graphical models of the human brain connectome

Annual Review of Clinical Psychology

Volumn 7, Issue , 2011, Pages 113-140

  Bullmore, Edward T ^a   Bassett, Danielle S ^b  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

connectivity; connectome; network; neuroimaging; systems; topological

Indexed keywords

ARTICLE; BRAIN GRAPH; ELECTROPHYSIOLOGY; GEOMETRY; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; STATISTICAL MODEL;

ANIMALS; BRAIN; HUMANS; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; NERVE NET; NEURAL NETWORKS (COMPUTER);

EID: 79953664777     PISSN: 15485943     EISSN: None     Source Type: Book Series    
DOI: 10.1146/annurev-clinpsy-040510-143934     Document Type: Article

References (146)

1. Achard S, Bassett DS,Meyer-Lindenberg A, Bullmore E. 2008. Fractal connectivity of longmemory networks. Phys. Rev. E 77:036104
2. Achard S, Bullmore E. 2007. Efficiency and cost of economical brain functional networks. PLoS Comput. Biol. 3:e17
3. 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 (Pubitemid 43090914)
4. Albert R, Barabási AL. 2002. Statistical mechanics of complex networks. Rev. Mod. Phys. 74:47-98
5. Alexander-Bloch A, Gogtay N, Meunier D, Birn R, Clasen L, et al. 2010. Disrupted modularity and local connectivity of brain functional networks in childhood-onset schizophrenia. Front. Syst. Neurosci. 4:147
6. Attwell D, Laughlin SB. 2001. An energy budget for signalling in the grey matter of the brain. J. Cereb. Blood Flow Metab. 21:1133-45 (Pubitemid 32947479)
7. Baccalá LA, Sameshima K. 2001. Partial directed coherence: a new concept in neural structure determination. Biol. Cybern. 84:463-74 (Pubitemid 33605196)
8. Barabási AL. 2009. Scale-free networks: a decade and beyond. Science 325:412-13
9. Barabási AL, Albert R. 1999. Emergence of scaling in random networks. Science 286:509-12
10. Barnes A, Bullmore ET, Suckling J. 2009. Endogenous human brain dynamics recover slowly following cognitive effort. PLoS One 4:e6626
11. Bassett DS, Bullmore E, Meyer-Lindenberg A, Weinberger DR, Coppola R. 2009. Cognitive fitness of costefficient brain functional networks. Proc. Natl. Acad. Sci. USA 106:11747-52
12. Bassett DS, Bullmore ET. 2006. Small-world brain networks. Neuroscientist 12:512-23 (Pubitemid 44657966)
13. Bassett DS, Bullmore ET. 2009. Human brain networks in health and disease. Curr. Opin. Neurol. 22:340-47
14. Bassett DS, Bullmore ET, Verchinski BA, Mattay VS, Weinberger DR, Meyer-Lindenberg A. 2008. Hierarchical organization of human cortical networks in health and schizophrenia. J. Neurosci. 28:9239-48
15. Bassett DS,Greenfield DL,Meyer-Lindenberg A,WeinbergerDR, Moore SW, Bullmore ET. 2010. Efficient physical embedding of topologically complex information processing networks in brains and computer circuits. PLoS Comput. Biol. 6:e1000748
16. 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. USA 103:19518-23 (Pubitemid 46026063)
17. Bernasconi C, König P. 1999. On the directionality of cortical interactions studied by structural analysis of electrophysiological recordings. Biol. Cybern. 81:199-210 (Pubitemid 129538437)
18. Blondel VD, Guillaume JL, Lambiotte R, Lefebvre E. 2008. Fast unfolding of communities in large networks. J. Stat. Mech. 10:P10008
19. Bollobás B. 1985. Random Graphs. Cambridge, UK: Cambridge Univ. Press
20. Broder A, Kumar R, Maghoul F, Raghavan P, Rajagopalan S, et al. 2000. Graph structure in theWeb. Comput. Netw. 33:309-20
21. Budiechel C, Friston KJ. 1997. Modulation of connectivity in visual pathways by attention: cortical interactions evaluated with structural equation modelling and fMRI. Cereb. Cortex 7:768-78 (Pubitemid 27505813)
22. Buckner RL, Sepulcre J, Taludkar T, Krienen FM, Liu H, et al. 2009. Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer's disease. J. Neurosci. 29:1860-73
23. BullmoreE, Fadili J, Maxim V, Sendur L, Whitcher B, et al. 2004. Wavelets and functional magnetic resonance imaging of the human brain. Neuroimage 23:S234-49 (Pubitemid 39421722)
24. Bullmore E, Suckling J, Overmeyer S, Rabe-Hesketh S, Taylor E, Brammer M. 1999. Global, voxel, and cluster tests, by theory and permutation, for a difference between two groups of structural MR images of the brain. IEEE Trans. Med. Imaging 18:32-42
25. Bullmore ET, Barnes A, Bassett DS, Fornito A, Kitzbichler MJ, et al. 2009. Generic aspects of complexity in brain imaging data and other biological systems. Neuroimage 47:1125-34
26. Bullmore ET, Sporns O. 2009. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat. Rev. Neurosci. 10:186-98
27. Butts CT. 2008. Social network analysis: a methodological introduction. Asian J. Soc. Psychol. 11:13-41
28. Butts CT. 2009. Revisiting the foundations of network analysis. Science 325:414-16
29. Catani M, ffytche DH. 2005. The rises and falls of disconnection syndromes. Brain 128:2224-39 (Pubitemid 41407963)
30. Chen BL, Hall DH, Chklovskii DB. 2006. Wiring optimization can relate neuronal structure and function. Proc. Natl. Acad. Sci. USA 103:4723-28
31. Chen R, Herskovits EH. 2007. Graphical model-based multivariate analysis of functional magnetic resonance data. Neuroimage 35:635-47 (Pubitemid 46400538)
32. Chen ZJ, He Y, Rosa-Neto P, Germann J, Evans AC. 2008. Revealing modular architecture of human brain structural networks by using cortical thickness from MRI. Cereb. Cortex 18:2374-81
33. Cheyne D, Bakhtazad L, GaetzW. 2006. Spatiotemporal mapping of cortical activity accompanying voluntary movements using an event-related beamforming approach. Hum. Brain Mapp. 27:213-29
34. Costa LF, Rodrigues FA, Travieso G, Villas Boas PR. 2007. Characterization of complex networks: a survey of measurements. Adv. Phys. 56:167-242 (Pubitemid 46504905)
35. Courchesne E, Pierce K. 2005. Why the frontal cortex in autism might be talking only to itself: local overconnectivity but long-distance disconnection. Curr. Opin. Neurobiol. 15:225-30 (Pubitemid 41569273)
36. Crucitti P, Latora V, Porta S. 2006. Centrality measures in spatial networks of urban streets. Phys. Rev. E Stat.Nonlin. Soft Matter Phys. 73:036125
37. David O, Cosmelli D, Friston KJ. 2004. Evaluation of different measures of functional connectivity using a neural mass model. Neuroimage 21:659-73 (Pubitemid 38229928)
38. de Haan W, Pijnenburg YA, Strijers RL, Van DerMade Y, Van Der FlierWM, et al. 2009. Functional neural network analysis in frontotemporal dementia and Alzheimer's disease using EEG and graph theory. BMC Neurosci. 10:101
39. de Vico Fallani F, Astolfi L, Cincotti F, Mattia D, la Rocca D, et al. 2009. Evaluation of the brain network organization fromEEGsignals: a preliminary evidence in stroke patient. Anat. Rec. (Hoboken) 292:2023-31
40. de Vico Fallani F, Astolfi L, Cincotti F, Mattia D, Marciani MG, et al. 2008a. Cortical network dynamics during foot movements. Neuroinformatics 6:23-34
41. de Vico Fallani F, Sinatra R, Astolfi L, Mattia D, Cincotti F, et al. 2008b. Community structure of cortical networks in spinal cord injured patients. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2008:3995-98
42. Dehaene S, Naccache L. 2001. Towards a cognitive neuroscience of consciousness: basic evidence and a workspace framework. Cognition 79:1-37 (Pubitemid 32054795)
43. Deuker L, Bullmore ET, Smith M, Christensen S, Nathan PJ, et al. 2009. Reproducibility of graph metrics of human brain functional networks. Neuroimage 47:1460-68
44. Eguíluz VM, Chialvo DR, Cecchi GA, Baliki M, Apkarian AV. 2005. Scale-free brain functional networks. Phys. Rev. Lett. 94:018102
45. Erdös P, Rényi A. 1959. On random graphs: I. Publ. Math. 6:290-97
46. Fair DA, Schlaggar BL, Cohen AL, Miezin FM, Dosenbach NU, et al. 2007. A method for using blocked and event-related fMRI data to study "resting state" functional connectivity. Neuroimage 35:396-405
47. Fodor JA. 1983. The Modularity of Mind. Cambridge, MA: MIT Press
48. Freeman LC. 1977. A set of measures of centrality based on betweenness. Sociometry 40:35-41
49. FristonK. 1994. Functional and effective connectivity in neuroimaging: a synthesis. Hum. BrainMapp. 2:56-78 (Pubitemid 124000442)
50. Friston KJ, Frith CD. 1995. Schizophrenia: a disconnection syndrome? Clin. Neurosci. 3:89-97
51. Friston KJ, Harrison L, Penny W. 2003. Dynamic causal modelling. Neuroimage 19:1273-302 (Pubitemid 37025831)
52. Genovese CR, Lazar NA,Nichols T. 2002. Thresholding of statistical maps in functional neuroimaging using the false discovery rate. Neuroimage 15:870-78 (Pubitemid 34852500)
53. Gong G, He Y, Concha L, Lebel C, Gross DW, et al. 2008. Mapping anatomical connectivity patterns of human cerebral cortex using in vivo diffusion tensor imaging tractography. Cereb. Cortex 19:524-36
54. Gong G, Rosa-Neto P, Carbonell F, Chen ZJ, He Y, Evans AC. 2009. Age- and gender-related differences in the cortical anatomical network. J. Neurosci. 29:15684-93
55. GuimeraR, Sales-PardoM, AmaralLA. 2007. Classes of complex networks defined by role-to-role connectivity profiles. Nat. Phys. 3:63-69
56. Hagmann P, Cammoun L, Gigandet X, Gerhard S, Ellen Grant P, et al. 2010. MR connectomics: principles and challenges. J. Neurosci. Methods. Epub ahead of print
57. Hagmann P, Cammoun L, Gigandet X, Meuli R, Honey CJ, et al. 2008. Mapping the structural core of human cerebral cortex. PLoS Biol. 6:e159
58. He Y, Chen ZJ, Evans AC. 2007. Small-world anatomical networks in the human brain revealed by cortical thickness from MRI. Cereb. Cortex 17:2407-19 (Pubitemid 47517476)
59. He Y, Chen ZJ, Evans AC. 2008. Structural insights into aberrant topological patterns of large-scale cortical networks in Alzheimer's disease. J. Neurosci. 28:4756-66
60. He Y, Dagher A, Chen Z, Charil A, Zijdenbos A, et al. 2009a. Impaired small-world efficiency in structural cortical networks in multiple sclerosis associated with white matter lesion load. Brain 132:3366-79
61. He Y, Dagher A, Chen Z, Charil A, Zijdenbos A, et al. 2009b. Uncovering intrinsic modular organization of spontaneous brain activity in humans. PLoS One 4:e5226
62. Hilgetag CC, Burns GA, 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. Philos. Trans. R. Soc. London B Biol. Sci. 355:91-110 (Pubitemid 30096137)
63. HoneyC, Sporns O. 2008. Dynamical consequences of lesions in cortical networks. Hum. BrainMapp. 29:802-9 (Pubitemid 351813081)
64. Honey C, Sporns O, Cammoun L, Gigandet X, Thiran JP, et al. 2009. Predicting human resting-state functional connectivity from structural connectivity. Proc. Natl. Acad. Sci. USA 106:2035-40
65. Horstmann MT, Bialonski S, Noennig N, Mai H, Prusseit J, et al. 2010. State dependent properties of epileptic brain networks: comparative graph-theoretical analyses of simultaneously recorded EEG and MEG. Clin. Neurophysiol. 121:172-85
66. Humphries MD, Gurney K, Prescott TJ. 2006. The brainstem reticular formation is a small-world, not scale-free, network. Proc. Biol. Sci. B 273:503-11 (Pubitemid 46780559)
67. Iturria-Medina Y, Canales-Rodríguez EJ, Melie-García L, Valdés-Hernández PA, Martínez-Montes E, et al. 2007. Characterizing brain anatomical connections using diffusion weighted MRI and graph theory. Neuroimage 36:645-60 (Pubitemid 46915496)
68. Kaiser M, Hilgetag CC. 2006. Non-optimal component placement, but short processing paths, due to longdistance projections in neural systems. PLoS Comput. Biol. 2:e95
69. Kenny S, Andric M, Boker SM, Neale MC, Wilde M, Small SL. 2009. Parallel workflows for data-driven structural equation modeling in functional neuroimaging. Front. Neuroinformatics 3:34
70. KitzbichlerMG, SmithML, Christensen SR, Bullmore E. 2009. Broadband criticality of human brain network synchronization. PLoS Comput. Biol. 5:e1000314
71. Knock SA, McIntosh AR, Sporns O, Kötter R, Hagmann P, Jirsa VK. 2009. The effects of physiologically plausible connectivity structure on local and global dynamics in large scale brain models. J. Neurosci. Methods 183:86-94
72. Kowalik ZJ, Elbert T. 1994. Changes of chaoticness in spontaneous EEG/MEG. Integr. Physiol. Behav. Sci.29:270-82
73. Latora V, Marchiori M. 2001. Efficient behavior of small-world networks. Phys. Rev. Lett. 87:198701
74. Latora V, Marchiori M. 2003. Economic small-world behavior in weighted networks. Eur. Phys. J. B 32:249-263 (Pubitemid 41201142)
75. Lee JH, Durand R, Gradinaru V, Zhang F, Goshen I, et al. 2010. Global and local fMRI signals driven by neurons defined optogenetically by type and wiring. Nature 465:788-92
76. Leicht EA, Newman MEJ. 2008. Community structure in directed networks. Phys. Rev. Lett. 100:118703
77. Leistedt SJ,CoumansN,DumontM, Lanquart JP, StamCJ, Linkowski P. 2009. Altered sleep brain functional connectivity in acutely depressed patients. Hum. Brain Mapp. 30:2207-19
78. Lerch JP, Worsley K, Shaw GP, Greenstein DK, Lenroot RK, et al. 2006. Mapping anatomical correlations across cerebral cortex (MACACC) using cortical thickness from MRI. Neuroimage 31:993-1003 (Pubitemid 43851317)
79. Liu Y, Liang M, Zhou Y, He Y, Hao Y, et al. 2008. Disrupted small-world networks in schizophrenia. Brain 131:945-61 (Pubitemid 351499423)
80. Li Y, Liu Y, Li J, Qin W, Li K, et al. 2009. Brain anatomical networks and intelligence. PLoS Comput. Biol. 5:e1000395
81. Lohmann G, Margulies DS, Horstmann A, Pleger B, Lepsien J, et al. 2010. Eigenvector centrality mapping for analyzing connectivity patterns in fMRI data of the human brain. PLoS One 5:e10232
82. Lynall ME, Bassett DS, Kerwin RW, McKenna PJ, Kitzbichler M, et al. 2010. Functional connectivity and brain networks in schizophrenia. J. Neurosci. 30:9477-87
83. Maslov S, Sneppen K. 2002. Specificity and stability in topology of protein networks. Science 296:910-13 (Pubitemid 34464896)
84. Mechelli A, Friston KJ, Frackowiak RS, Price CJ. 2005. Structural covariance in the human cortex. J. Neurosci. 25:8303-10 (Pubitemid 41292125)
85. Meunier D, Achard S,Morcom A, Bullmore E. 2008. Age-related changes in modular organization of human brain functional networks. Neuroimage 44:715-23
86. Meunier D, Lambiotte R, Fornito A, Ersche KD, Bullmore ET. 2009. Hierarchical modularity in human brain functional networks. Front. Neuroinformatics 3:37
87. Micheloyannis S, Pachou E, Stam CJ, BreakspearM, Bitsios P, et al. 2006. Small-world networks and disturbed functional connectivity in schizophrenia. Schizophr. Res. 87:60-66 (Pubitemid 44428137)
88. Micheloyannis S, Vourkas M, Tsirka V, Karakonstantaki E, Kanatsouli K, Stam CJ. 2009. The influence of ageing on complex brain networks: a graph theoretical analysis. Hum. Brain Mapp. 30:200-8
89. Murphy K, Birn RM,Handwerker DA, Jones TB, Bandettini PA. 2009. The impact of global signal regression on resting state correlations: Are anti-correlated networks introduced? Neuroimage 44:893-905
90. NewmanMEJ. 2006. Modularity and community structure in networks. Proc.Natl. Acad. Sci. USA103:8577-82 (Pubitemid 43878062)
91. Niven JE, Laughlin SB. 2008. Energy limitation as a selective pressure on the evolution of sensory systems. J. Exp. Biol. 211:1792-804 (Pubitemid 351964926)
92. Oldham MC, Horvath S, Geschwind DH. 2006. Conservation and evolution of gene coexpression networks in human and chimpanzee brains. Proc. Natl. Acad. Sci. USA 103:17973-78 (Pubitemid 44852270)
93. Palva JM, Monto S, Kulashekar S, Palva S. 2010a. Neuronal synchrony reveals working memory networks and predicts individual memory capacity. Proc. Natl. Acad. Sci. USA 107:7580-85
94. Palva S,Monto S, Palva JM. 2010b. Graph properties of synchronized cortical networks during visual working memory maintenance. Neuroimage 49:3257-68
95. Park CH, Kim SY, Kim YH, Kim K. 2008. Comparison of the small-world topology between anatomical and functional connectivity in the human brain. Physica A 387:5958-62
96. Poldrack RA, Fletcher PC, Henson RN, Worsley KJ, Brett M, Nichols TE. 2008. Guidelines for reporting an fMRI study. Neuroimage 40:409-14
97. Ponten SC, Bartolomei F, Stam CJ. 2007. Small-world networks and epilepsy: graph theoretical analysis of intracerebrally recorded mesial temporal lobe seizures. Clin. Neurophysiol. 118:918-27 (Pubitemid 46349824)
98. Ponten SC, Douw L, Bartolomei F, Reijneveld JC, Stam CJ. 2009. Indications for network regularization during absence seizures: weighted and unweighted graph theoretical analyses. Exp. Neurol. 217:197-204
99. Raj A,Mueller SG, Young K, Laxer KD, Weiner M. 2010. Network-level analysis of cortical thickness of the epileptic brain. Neuroimage 52:1302-13
100. Richiardi J, Eryilmaz H, Schwartz S, Vuilleumier P, Van De Ville D. 2010. Decoding brain states from fMRI connectivity graphs. Neuroimage. Epub ahead of print
101. Robinson PA, Henderson JA, Matar E, Riley P, Gray RT. 2009. Dynamical reconnection and stability constraints on cortical network architecture. Phys. Rev. Lett. 103:108104
102. Rubinov M, Knock SA, Stam CJ, Micheloyannis S, Harris AWF, et al. 2009. Small-world properties of nonlinear brain activity in schizophrenia. Hum. Brain Mapp. 30:403-16
103. Rubinov M, Sporns O. 2010. Complex network measures of brain connectivity: uses and interpretations. Neuroimage 52:1059-69
104. Salvador R, Martínez A, Pomarol-Clotet E, Gomar J, Vila F, et al. 2008. A simple view of the brain through a frequency-specific functional connectivity measure. Neuroimage 39:279-89 (Pubitemid 350110534)
105. Salvador R, Suckling J, Coleman MR, Pickard JD, Menon D, Bullmore E. 2005a. Neurophysiological architecture of functional magnetic resonance images of human brain. Cereb. Cortex 15:1332-42
106. Salvador R, Suckling J, Schwarzbauer C, Bullmore E. 2005b. Undirected graphs of frequency-dependent functional connectivity in whole brain networks. Philos. Trans. R. Soc. London B Biol. Sci. 360:937-46 (Pubitemid 41672855)
107. Scannell JW, Blakemore C, Young MP. 1995. Analysis of connectivity in the cat cerebral cortex. J. Neurosci. 15:1463-83
108. Scannell JW, Burns GA, Hilgetag CC, O'Neil MA, Young MP. 1999. The connectional organization of the cortico-thalamic system of the cat. Cereb. Cortex 9:277-99 (Pubitemid 29231233)
109. Schmitt JE, Lenroot RK,Wallace GL,Ordaz S, Taylor KN, et al. 2008. Identification of genetically mediated cortical networks: a multivariate study of pediatric twins and siblings. Cereb. Cortex 18:1737-47 (Pubitemid 352019905)
110. Schwarz AJ, Gozzi A, Bifone A. 2009. Community structure in networks of functional connectivity: resolving functional organization in the rat brain with pharmacological MRI. Neuroimage 47:302-11
111. Shu N, Liu Y, Li J, Li Y, Yu C, Jiang T. 2009. Altered anatomical network in early blindness revealed by diffusion tensor tractography. PLoS One 4:e7228
112. Simon H. 1962. The architecture of complexity. Proc. Am. Philos. Soc. 106:467-82
113. Skudlarski P, Jagnnathan K, Calhoun VD, Hampson M, Skudlarski BA, Pearlson G. 2008. Measuring brain connectivity: Diffusion tensor imaging validates resting state temporal correlations. Neuroimage 43:554-61
114. Smit DJ, Stam CJ, Posthuma D, Boomsma DI, de Geus EJ. 2008. Heritability of "small-world" networks in the brain: a graph theoretical analysis of resting-state EEG functional connectivity. Hum. Brain Mapp. 29:1368-78
115. Smith SM, Miller KL, Salimi-Khorshidi G, Webster M, Beckmann CF. 2010. Network modeling methods for fMRI. Neuroimage. Epub ahead of print
116. Sporns O. 2010. Networks of the Brain. Cambridge, MA: MIT Press
117. Sporns O, Chialvo DR, Kaiser M, Hilgetag CC. 2004. Organization, development and function of complex brain networks. Trends Cogn. Sci. 8:418-25 (Pubitemid 39179905)
118. Sporns O, Honey CJ, Kotter R. 2007. Identification and classification of hubs in brain networks. PLoS One 2:e1049
119. Sporns O, Tononi G, Kötter R. 2005. The human connectome: a structural description of the human brain. PLoS Comput. Biol. 1:e42
120. Stam CJ. 2004. Functional connectivity patterns of human magnetoencephalographic recordings: a "smallworld" network? Neurosci. Lett. 355:25-28 (Pubitemid 38077176)
121. Stam CJ, Jones BF, Nolte G, Breakspear M, Scheltens P. 2007a. Small-world networks and functional connectivity in Alzheimer's disease. Cereb. Cortex 17:92-99 (Pubitemid 44973898)
122. Stam CJ, Nolte G, Daffertshofer A. 2007b. Phase lag index: assessment of functional connectivity from multichannel EEG and MEG with diminished bias from common sources. Hum. Brain Mapp. 28:1178-93 (Pubitemid 350077482)
123. Strogatz SH. 2001. Exploring complex networks. Nature 410:268-76 (Pubitemid 32216604)
124. Supekar K,Menon V, Rubin D,Musen M, GreiciusMD. 2008. Network analysis of intrinsic functional brain connectivity in Alzheimer's disease. PLoS Comput. Biol. 4:e1000100
125. Tononi G, Sporns O, Edelman GM. 1994. A measure for brain complexity: relating functional segregation and integration in the nervous system. Proc. Natl. Acad. Sci. USA 91:5033-37 (Pubitemid 24177786)
126. Tzourio-Mazoyer N, Landeau B, Papathanassiou D, Crivello F, Etard O, et al. 2002. Automated anatomical labelling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI singlesubject brain. Neuroimage 15:273-79
127. van Dellen E, Douw L, Baayen JC, Heimans JJ, Ponten SC, et al. 2009. Long-term effects of temporal lobe epilepsy on local neural networks: a graph theoretical analysis of corticography recordings. PLoS One 4:e8081
128. van den Heuvel MP, Stam CJ, Boersma M, Hulshoff Pol HE. 2008. Small-world and scale-free organization of voxel-based resting-state functional connectivity in the human brain. Neuroimage 43:528-39
129. van den Heuvel MP, Stam CJ, Kahn RS, Hulshoff Pol HE. 2009. Efficiency of functional brain networks and intellectual performance. J. Neurosci. 29:7619-24
130. Van Dijk KRE, Hedden T, Venkataraman A, Evans KC, Lazar SW, Buckner RL. 2010. Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. J. Neurophysiol. 103:297-321
131. Vrba J, Robinson SE. 2001. Signal processing in magnetoencephalography. Methods 25:249-71 (Pubitemid 34135432)
132. Wang J, Zuo X, He Y. 2009. Parcellation-dependent small-world brain functional networks: a resting-state fMRI study. Hum. Brain Mapp. 30:1511-23
133. Wang J, Zuo X, He Y. 2010. Graph-based network analysis of resting-state functional MRI. Front. Syst. Neurosci. 4:16
134. Wang L, Zhu C, He Y, Zang Y, Cao Q, et al. 2008. Altered small-world brain functional networks in children with attention-deficit/hyperactivity disorder. Hum. Brain Mapp. 30:638-49
135. Watts DJ, Strogatz SH. 1998. Collective dynamics of "small- world" networks. Nature 393:440-42
136. Weissenbacher A, Kasess C, Gerstl F, Lanzenberger R, Moser E,Windischberger C. 2009. Correlations and anticorrelations in resting-state functional connectivityMRI: a quantitative comparison of preprocessing strategies. Neuroimage 47:1408-16
137. White JG, Southgate E, Thomson JN, Brenner S. 1986. The structure of the nervous system of the nematode Caenorhabditis elegans. Philos. Trans. R. Soc. London B 314:1-340
138. Whitfield-Gabrieli S, Thermenos HW,Milanovic S, Tsuang MT, Faraone SV, et al. 2009. Hyperactivity and hyperconnectivity of the default network in schizophrenia and in first-degree relatives of persons with schizophrenia. Proc. Natl. Acad. Sci. USA 106:1279-84
139. Wright IC, Sharma T, Ellison ZR,McGuire PK, Friston KJ, et al. 1999. Supraregional brain systems and the neuropathology of schizophrenia. Cereb. Cortex 9:366-78 (Pubitemid 29337173)
140. Yoon JH, Minzenberg MJ, Ryan Walter BS, Wendelken C, Ragland JD, Carter CS. 2008. Association of dorsolateral prefrontal cortex dysfunction with disrupted coordinated brain activity in schizophrenia: relationship with impaired cognition, behavioral disorganization, and global function. Am. J. Psychiatry 165:1006-14
141. Young MP. 1992. Objective analysis of the topological organization of the primate cortical visual system. Nature 358:152-55
142. YoungMP. 1993. The organization of neural systems in the primate cerebral cortex. Proc. Biol. Sci. 252:13-18 (Pubitemid 23136280)
143. Yu S, Huang D, SingerW, Nikolic D. 2008. A small world of neuronal synchrony. Cereb. Cortex 18:2891-901
144. Zalesky A, Fornito A. 2009. A DTI-derived measure of cortico-cortical connectivity. IEEE Trans. Med. Imag. 28:1023-36
145. Zalesky A, Fornito A, Bullmore E. 2010a. Network-based statistic: identifying differences in brain networks. Neuroimage 53:1197-207
146. Zalesky A, Fornito A, Harding IH, Cocchi L, Yücel M, et al. 2010b. Whole-brain anatomical networks: Does the choice of nodes matter? Neuroimage 50:970-83