Imaging structural and functional connectivity: Towards a unified definition of human brain organization?

Current Opinion in Neurology

Volumn 21, Issue 4, 2008, Pages 393-403

  Guye, Maxime ^a,c,d   Bartolomei, Fabrice ^b,c,d   Ranjeva, Jean Philippe ^a,c,d  

^a University of Aix Marseille   (France)

^b INSERM   (France)

^c Faculte de Medecine   (France)

^d AIX MARSEILLE UNIVERSITY   (France)

Author keywords

Brain connectivity; fMRI; Graph theory; Small world networks; Tractography

Indexed keywords

AGING; ALZHEIMER DISEASE; ANISOTROPY; ARTIFACT; BRAIN DEVELOPMENT; CAUSAL MODELING; COGNITION; COGNITIVE DEFECT; COMPUTATIONAL FLUID DYNAMICS; COST; DIAGNOSTIC ACCURACY; DIFFUSION MAGNETIC RESONANCE TRACTOGRAPHY; DIFFUSION TENSOR IMAGING; ENERGY CONSUMPTION; EPILEPSY; FUNCTIONAL BRAIN CONNECTIVITY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; IN VIVO STUDY; MENTAL DISEASE; METHODOLOGY; MOLECULAR DYNAMICS; MULTIPLE SCLEROSIS; NERVE CELL NETWORK; NERVE CELL PLASTICITY; NERVE FIBER; NEUROIMAGING; NEUROLOGIC DISEASE; NEUROPHYSIOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY; REVIEW; SIGNAL NOISE RATIO; SIGNAL PROCESSING; SPATIAL MEMORY; STRUCTURAL EQUATION MODELING; VALIDATION STUDY; BRAIN; BRAIN MAPPING; DIFFUSION WEIGHTED IMAGING; INSTRUMENTATION; MENTAL FUNCTION; NERVE TRACT; NEUROSCIENCE; PHYSIOLOGY;

BRAIN; BRAIN MAPPING; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; MAGNETIC RESONANCE IMAGING; MENTAL PROCESSES; NERVE NET; NEURAL PATHWAYS; NEUROSCIENCES;

EID: 52049091838     PISSN: 13507540     EISSN: None     Source Type: Journal    
DOI: 10.1097/wco.0b013e3283065cfb     Document Type: Review

References (127)

1. Koch MA, Norris DG, Hund-Georgiadis M. An investigation of functional and anatomical connectivity using magnetic resonance imaging. Neuroimage 2002; 16:241-250.
2. Hamandi K, Powell HW, Laufs H, et al.Combined EEG-fMRI and tractography to visualise propagation of epileptic activity. J Neurol Neurosurg Psychiatry 2008; 79:594-597.
3. Cohen MX, Elger CE, Weber B. Amygdala tractography predicts functional connectivity and learning during feedback-guided decision-making. Neuroimage 2008; 39:1396-1407.
4. Smith SM, Johansen-Berg H, Jenkinson M, et al. Acquisition and voxelwise analysis of multisubject diffusion data with tract-based spatial statistics. Nat Protoc 2007; 2:499-503.
5. Wedeen VJ, Hagmann P, Tseng WY, et al. Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging. Magn Reson Med 2005; 54:1377-1386.
6. Tuch DS. Q-ball imaging. Magn Reson Med 2004; 52:1358-1372.
7. Conturo TE, Lori NF, Cull TS, et al. Tracking neuronal fiber pathways in the living human brain. Proc Natl Acad Sci USA 1999; 96:10422-10427.
8. 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.
9. Ozarslan E, Shepherd TM, Vemuri BC, et al. Resolution of complex tissue microarchitecture using the diffusion orientation transform (DOT). Neuroimage 2006; 31:1086-1103.
10. Jones DK, Pierpaoli C. Confidence mapping in diffusion tensor magnetic resonance imaging tractography using a bootstrap approach. Magn Reson Med 2005; 53:1143-1149.
11. Lazar M, Alexander AL. Bootstrap white matter tractography (BOOT-TRAC). Neuroimage 2005; 24:524-532.
12. Whitcher B, Tuch DS, Wisco JJ, et al. Using the wild bootstrap to quantify uncertainty in diffusion tensor imaging. Hum Brain Mapp 2008; 29:346-362.
13. Lu Y, Aldroubi A, Gore JC, et al. Improved fiber tractography with Bayesian tensor regularization. Neuroimage 2006; 31:1061-1074.
14. Tournier JD, Calamante F, Connelly A. Robust determination of the fibre orientation distribution in diffusion MRI: nonnegativity constrained super-resolved spherical deconvolution. Neuroimage 2007; 35:1459-1472.
15. Berman JI, Chung S, Mukherjee P, et al. Probabilistic streamline Q-ball tractography using the residual bootstrap. Neuroimage 2008; 39:215-222.
16. Jaermann T, De Zanche N, Staempfli P, et al. Preliminary experience with visualization of intracortical fibers by focused high-resolution diffusion tensor imaging. AJNR Am J Neuroradiol 2008; 29:146-150.
17. Behrens TE, Woolrich MW, Jenkinson M, et al. Characterization and propagation of uncertainty in diffusion-weighted MR imaging. Magn Reson Med 2003; 50:1077-1088.
18. 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.
19. Parker GJ, Stephan KE, Barker GJ, et al. Initial demonstration of in vivo tracing of axonal projections in the macaque brain and comparison with the human brain using diffusion tensor imaging and fast marching tractography. Neuroimage 2002; 15:797-809.
20. Staempfli P, Jaermann T, Crelier GR, et al. Resolving fiber crossing using advanced fast marching tractography based on diffusion tensor imaging. Neuroimage 2006; 30:110-120.
21. Tuch DS, Wisco JJ, Khachaturian MH, et al. Q-ball imaging of macaque white matter architecture. Philos Trans R Soc Lond B Biol Sci 2005; 360:869-879.
22. Croxson PL, Johansen-Berg H, Behrens TE, et al. Quantitative investigation of connections of the prefrontal cortex in the human and macaque using probabilistic diffusion tractography. J Neurosci 2005; 25:8854-8866.
23. Dauguet J, Peled S, Berezovskii V, et al. Comparison of fiber tracts derived from in-vivo DTI tractography with 3D histological neural tract tracer reconstruction on a macaque brain. Neuroimage 2007; 37:530-538.
24. Tomassini V, JbabdiS, Klein JC, et al. Diffusion-weighted imaging tractography-based parcellation of the human lateral premotor cortex identifies dorsal and ventral subregions with anatomical and functional specializations. J Neurosci 2007; 27:10259-10269.
25. Klein JC, Behrens TE, Robson MD, et al. Connectivity-based parcellation of human cortex using diffusion MRI: establishing reproducibility, validity and observer independence in BA 44/45 and SMA/pre-SMA. Neuroimage 2007; 34:204-211.
26. Johansen-Berg H, Behrens TE, Sillery E, et al. Functional-anatomical validation and individual variation of diffusion tractography-based segmentation of the human thalamus. Cereb Cortex 2005; 15:31-39.
27. Boorman ED, O'Shea J, Sebastian C, et al. Individual differences in white-matter microstructure reflect variation in functional connectivity during choice. Curr Biol 2007; 17:1426-1431.
28. Behrens TE, Jenkinson M, Robson MD, et al. A consistent relationship between local white matter architecture and functional specialisation in medial frontal cortex. Neuroimage 2006; 30:220-227.
29. Lehericy S, Ducros M, Van de Moortele PF, et al. Diffusion tensor fiber tracking shows distinct corticostriatal circuits in humans. Ann Neurol 2004; 55:522-529.
30. ThottakaraP, LazarM, Johnson SC, Alexander AL. Application of Brodmann's area templates for ROI selection in white matter tractography studies. Neuroimage 2006; 29:868-878.
31. Guye M, Parker GJ, Symms M, et al. Combined functional MRI and tractography to demonstrate the connectivity of the human primary motor cortex in vivo. Neuroimage 2003; 19:1349-1360.
32. Ciccarelli O, Parker GJ, Toosy AT, et al. From diffusion tractography to quantitative white matter tract measures: a reproducibility study. Neuroimage 2003; 18:348-359.
33. Wakana S, Caprihan A, Panzenboeck MM, et al. Reproducibility of quantitative tractography methods applied to cerebral white matter. Neuroimage 2007; 36:630-644.
34. Heiervang E, Behrens TE, Mackay CE, et al. Between session reproducibility and between subject variability of diffusion MR and tractography measures. Neuroimage 2006; 33:867-877.
35. Clayden JD, Bastin ME, Storkey AJ. Improved segmentation reproducibility in group tractography using a quantitative tract similarity measure. Neuroimage 2006; 33:482-492.
36. Friston KJ, Frith CD, Liddle PF, Frackowiak RS. Functional connectivity: the principal-component analysis of large (PET) data sets. J Cereb Blood Flow Metab 1993; 13:5-14.
37. Marrelec G, Krainik A, Duffau H, et al. Partial correlation for functional brain interactivity investigation in functional MRI. Neuroimage 2006;32:228-237.
38. Cordes D, Haughton VM, Arfanakis K, et al. Mapping functionally related regions of brain with functional connectivity MR imaging. AJNR Am J Neuroradiol 2000; 21:1636-1644.
39. van de Ven VG, Formisano E, Prvulovic D, et al. Functional connectivity as revealed by spatial independent component analysis of fMRI measurements during rest. Hum Brain Mapp 2004; 22:165-178.
40. McKeown MJ, Makeig S, Brown GG, et al. Analysis of fMRI data by blind separation into independent spatial components. Hum Brain Mapp 1998; 6:160-188.
41. Friston KJ, Frith CD, Frackowiak RS. Principal component analysis learning algorithms: a neurobiological analysis. Proc Biol Sci 1993; 254:47-54.
42. McKeown MJ, Jung TP, Makeig S, et al. Spatially independent activity patterns in functional MRI data during the stroop color-naming task. Proc Natl Acad Sci U S A 1998; 95:803-810.
43. Friston KJ, Buechel C, Fink GR, et al. Psychophysiological and modulatory interactions in neuroimaging. Neuroimage 1997; 6:218-229.
44. Kim J, Horwitz B. Investigating the neural basis for fMRI-based functional connectivity in a blocked design: application to interregional correlations and psycho-physiological interactions. Magn Reson Imaging 2008 [Epub ahead of print].
45. McIntosh AR, Gonzalez-Lima F. Network interactions among limbic cortices, basal forebrain, and cerebellum differentiate a tone conditioned as a Pavlovian excitor or inhibitor: fluorodeoxyglucose mapping and covariance structural modeling. J Neurophysiol 1994; 72:1717-1733.
46. Bullmore E, Horwitz B, Honey G, et al. How good is good enough in path analysis of fMRI data? Neuroimage 2000; 11:289-301.
47. Mechelli A, Penny WD, Price CJ, et al. Effective connectivity and intersubject variability: using a multisubject network to test differences and commonalities. Neuroimage 2002; 17:1459-1469.
48. Stephan KE, Harrison LM, Kiebel SJ, et al. Dynamic causal models of neural system dynamics: current state and future extensions. J Biosci 2007; 32:129-144.
49. Kiebel SJ, Kloppel S, Weiskopf N, Friston KJ. Dynamic causal modeling: a generative model of slice timing in fMRI. Neuroimage 2007;34:1487-1496.
50. Marreiros AC, Kiebel SJ, Friston KJ. Dynamic causal modelling for fMRI: a two-state model. Neuroimage 2008; 39:269-278.
51. Goebel R, RoebroeckA, Kim DS, Formisano E. Investigating directed cortical interactions in time-resolved fMRI data using vector autoregressive modeling and Granger causality mapping. Magn Reson Imaging 2003; 21:1251-1261.
52. Zheng X, Rajapakse JC. Learning functional structure from fMR images. Neuroimage 2006; 31:1601-1613.
53. Rajapakse JC, Zhou J. Learning effective brain connectivity with dynamic Bayesian networks. Neuroimage 2007; 37:749-760.
54. Marrelec G, Horwitz B, Kim J, et al. Using partial correlation to enhance structural equation modeling of functional MRI data. Magn Reson Imaging 2007; 25:1181-1189.
55. He BJ, Shulman GL, Snyder AZ, Corbetta M. The role of impaired neuronal communication in neurological disorders. CurrOpin Neurol 2007; 20:655-660.
56. Raichle ME, Snyder AZ. A default mode of brain function: a brief history of an evolving idea. Neuroimage 2007; 37:1083-1090. (discussion 1097-1099).
57. Greicius MD, Krasnow B, Reiss AL, Menon V. Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc Natl Acad Sci USA 2003; 100:253-258.
58. Damoiseaux JS, Rombouts SA, Barkhof F, et al. Consistent resting-state networks across healthy subjects. Proc Natl Acad Sci USA 2006; 103:13848-13853.
59. Vincent JL, Snyder AZ, Fox MD, et al. Coherent spontaneous activity identifies a hippocampal-parietal memory network. J Neurophysiol 2006; 96:3517-3531.
60. De Luca M, Beckmann CF, De Stefano N, et al. fMRI resting state networks define distinct modes of long-distance interactions in the human brain. Neuroimage 2006; 29:1359-1367.
61. Fox MD, Snyder AZ, Vincent JL, et al. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc Natl Acad Sci USA 2005; 102:9673-9678.
62. Dosenbach NU, Fair DA, Miezin FM, et al. Distinct brain networks for adaptive and stable task control in humans. Proc Natl Acad Sci USA 2007; 104:11073-11078.
63. He BJ, Snyder AZ, Vincent JL, et al. Breakdown of functional connectivity in frontoparietal networks underlies behavioral deficits in spatial neglect. Neuron 2007; 53:905-918.
64. Mantini D, Perrucci MG, Del Gratta C, et al. Electrophysiological signatures of resting state networks in the human brain. Proc Natl Acad Sci USA 2007; 104:13170-13175.
65. BucknerRL, Vincent JL. Unrest at rest: default activity and spontaneous network correlations. Neuroimage 2007; 37:1091-1096. (discussion 1097-1099).
66. Vincent JL, Patel GH, Fox MD, et al. Intrinsic functional architecture in the anaesthetized monkey brain. Nature 2007; 447:83-86.
67. Fox MD, Snyder AZ, Vincent JL, Raichle ME. Intrinsic fluctuations within cortical systems account for intertrial variability in human behavior. Neuron 2007; 56:171-184.
68. Fair DA, Dosenbach NU, Church JA, et al. Development of distinct control networks through segregation and integration. Proc Natl Acad Sci USA 2007; 104:13507-13512.
69. Schlosser RG, Wagner G, Sauer H. Assessing the working memory network: studies with functional magnetic resonance imaging and structural equation modeling. Neuroscience 2006; 139:91-103.
70. Au Duong MV, Boulanouar K, Audoin B, et al. Modulation of effective connectivity inside the working memory network in patients at the earliest stage of multiple sclerosis. Neuroimage 2005; 24:533-538.
71. Addis DR, Moscovitch M, McAndrews MP. Consequences of hippocampal damage across the autobiographical memory network in left temporal lobe epilepsy. Brain 2007; 130 (Pt 9):2327-2342.
72. Audoin B, Guye M, Reuter F, et al. Structure of WM bundles constituting the working memory system in early multiple sclerosis: a quantitative DTI tractography study. Neuroimage 2007; 36:1324-1330.
73. Eluvathingal TJ, Hasan KM, Kramer L, et al. Quantitative diffusion tensor tractography of association and projection fibers in normally developing children and adolescents. Cereb Cortex 2007; 17:2760-2768.
74. Giorgio A, Watkins KE, Douaud G, et al. Changes in white matter micro-structure during adolescence. Neuroimage 2008; 39:52-61.
75. Andrews-Hanna JR, Snyder AZ, Vincent JL, et al. Disruption of large-scale brain systems in advanced aging. Neuron 2007; 56:924-935.
76. Achard S, Bullmore E. Efficiency and cost of economical brain functional networks. PLoS Comput Biol 2007; 3:e17.
77. Guye M, Ranjeva JP, Bartolomei F, et al. What is the significance of interictal water diffusion changes in frontal lobe epilepsies? Neuroimage 2007; 35:28-37.
78. Powell HW, Parker GJ, Alexander DC, et al. Abnormalities of language networks in temporal lobe epilepsy. Neuroimage 2007; 36:209-221.
79. Yogarajah M, Duncan JS. Diffusion-based magnetic resonance imaging and tractography in epilepsy. Epilepsia 2008; 49:189-200.
80. Waites AB, Briellmann RS, Saling MM, et al. Functional connectivity networks are disrupted in left temporal lobe epilepsy. Ann Neurol 2006; 59:335-343.
81. LaufsH, Hamandi K, Salek-Haddadi A, et al. Temporal lobe interictal epileptic discharges affect cerebral activity in 'default mode' brain regions. Hum Brain Mapp 2007; 28:1023-1032.
82. Gotman J, GrovaC, BagshawA, et al. Generalized epileptic discharges show thalamocortical activation and suspension of the default state of the brain. Proc Natl Acad Sci USA 2005; 102:15236-15240.
83. Lowe MJ, Horenstein C, Hirsch JG, et al. Functional pathway-defined MRI diffusion measures reveal increased transverse diffusivity of water in multiple sclerosis. Neuroimage 2006; 32:1127-1133.
84. Lowe MJ, Phillips MD, Lurito JT, et al. Multiple sclerosis: low-frequency temporal blood oxygen level-dependent fluctuations indicate reduced functional connectivity initial results. Radiology 2002; 224:184-192.
85. Ranjeva JP, Audoin B, Au Duong MV, et al. Structural and functional surrogates of cognitive impairment at the very early stage of multiple sclerosis. J Neurol Sci 2006; 245:161-167.
86. Au Duong MV, Audoin B, Boulanouar K, et al. Altered functional connectivity related to white matter changes inside the working memory network at the very early stage of MS. J Cereb Blood Flow Metab 2005; 25:1245-1253.
87. Cader S, Cifelli A, Abu-Omar Y, et al. Reduced brain functional reserve and altered functional connectivity in patients with multiple sclerosis. Brain 2006; 129 (Pt 2):527-537.
88. Rocca MA, Pagani E, Absinta M, et al. Altered functional and structural connectivities in patients with MS: a 3-T study. Neurology 2007; 69:2136-2145.
89. Catani M. Diffusion tensor magnetic resonance imaging tractography in cognitive disorders. Curr Opin Neurol 2006; 19:599-606.
90. Sorg C, Riedl V, Muhlau M, et al. Selective changes of resting-state networks in individuals at riskfor Alzheimer's disease. Proc Natl Acad Sci USA 2007; 104:18760-18765.
91. Wang K, Jiang T, Liang M, et al. Discriminative analysis of early Alzheimer's disease based on two intrinsically anticorrelated networks with resting-state fMRI. IntConf Med Image Comput Comput Assist Interv 2006; 9 (Pt 2):340-347.
92. He Y, Wang L, Zang Y, et al. Regional coherence changes in the early stages of Alzheimer's disease: a combined structural and resting-state functional MRI study. Neuroimage 2007; 35:488-500.
93. Fellgiebel A, Schermuly I, Gerhard A, et al. Functional relevant loss of long association fibre tracts integrity in early Alzheimer's disease. Neuropsychologia 2007 [Epub ahead of print].
94. Sonty SP, Mesulam MM, Weintraub S, et al. Altered effective connectivity within the language network in primary progressive aphasia. J Neurosci 2007; 27:1334-1345.
95. Whitford TJ, Grieve SM, Farrow TF, et al. Volumetric white matter abnormalities in first-episode schizophrenia: a longitudinal, tensor-based morphometry study. Am J Psychiatry 2007; 164:1082-1089.
96. Zhou Y, Shu N, Liu Y, et al. Altered resting-state functional connectivity and anatomical connectivity of hippocampus in schizophrenia. Schizophr Res 2008; 100:120-132.
97. Zhou Y, Liang M, Jiang T, et al. Functional dysconnectivity of the dorsolateral prefrontal cortex in first-episode schizophrenia using resting-state fMRI. Neurosci Lett 2007; 417:297-302.
98. Fakra E, Salgado-Pineda P, Delaveau P, et al. Neural bases of different cognitive strategies for facial affect processing in schizophrenia. Schizophr Res 2008; 100:191-205.
99. McIntosh AM, Moorhead TW, Job D, et al. The effects of a neuregulin 1 variant on white matter density and integrity. Mol Psychiatry 2007 [Epub ahead of print].
100. Just MA, Cherkassky VL, Keller TA, et al. Functional and anatomical cortical underconnectivity in autism: evidence from an FMRI study of an executive function task and corpus callosum morphometry. Cereb Cortex 2007; 17:951-961.
101. Greicius MD, Flores BH, Menon V, et al. Resting-state functional connectivity in major depression: abnormally increased contributions from subgenual cingulate cortex and thalamus. Biol Psychiatry 2007; 62:429-437.
102. Grefkes C, Nowak DA, Eickhoff SB, et al. Cortical connectivity after subcortical stroke assessed with functional magnetic resonance imaging. Ann Neurol 2007; 63:236-246.
103. Bassett DS, Bullmore E. Small-world brain networks. Neuroscientist 2006; 12:512-523.
104. Sporns O, Chialvo DR, Kaiser M, Hilgetag CC. Organization, development and function of complex brain networks. Trends Cogn Sci 2004; 8:418-425.
105. Reijneveld JC, Ponten SC, Berendse HW, Stam CJ. The application of graph theoretical analysis to complex networks in the brain. Clin Neurophysiol 2007; 118:231 7-2331.
106. 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.
107. Aron AR, BehrensTE, Smith S, et al. Triangulating a cognitive control network using diffusion-weighted magnetic resonance imaging (MRI) and functional MRI. J Neurosci 2007; 27:3743-3752.
108. Watts DJ, Strogatz SH. Collective dynamics of 'small-world' networks. Nature 1998; 393:440-442.
109. Barabasi AL, Albert R. Emergence of scaling in random networks. Science 1999; 286:509-512.
110. Sporns O, Zwi JD. The small world of the cerebral cortex. Neuroinformatics 2004; 2:145-162.
111. 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 2005; 360:937-946.
112. Achard S, Salvador R, Whitcher B, et al. A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs. J Neurosci 2006; 26:63-72.
113. Kaiser M, Martin R, Andras P, Young MP. Simulation of robustness against lesions of cortical networks. Eur J Neurosci 2007; 25:3185-3192.
114. 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.
115. Iturria-Medina Y, Canales-Rodriguez EJ, Melie-Garcia L, et al. Characterizing brain anatomical connections using diffusion weighted MRI and graph theory. Neuroimage 2007; 36:645-660.
116. Hagmann P, Kurant M, Gigandet X, et al. Mapping human whole-brain structural networks with diffusion MRI. PLoS ONE 2007; 2:e597.
117. Jbabdi S, Woolrich MW, Andersson JL, Behrens TE. A Bayesian framework for global tractography. Neuroimage 2007; 37:116-129.
118. Lee L, Friston K, Horwitz B. Large-scale neural models and dynamic causal modelling. Neuroimage 2006; 30:1243-1254.
119. Ioannides AA. Dynamic functional connectivity. Curr Opin Neurobiol 2007; 17:161-170.
120. Bassett DS, Meyer-Lindenberg A, Achard S, et al. Adaptive reconfiguration of fractal small-world human brain functional networks. Proc Natl Acad Sci USA 2006; 103:19518-19523.
121. Stam CJ, Jones BF, Nolte G, et al. Small-world networks and functional connectivity in Alzheimer's disease. Cereb Cortex 2007; 17:92-99.
122. Bartolomei F, Bosma I, Klein M, et al. Disturbed functional connectivity in brain tumour patients: evaluation by graph analysis of synchronization matrices. Clin Neurophysiol 2006; 117:2039-2049.
123. Rubinov M, Knock SA, Stam CJ, et al. Small-world properties of nonlinear brain activity in schizophrenia. Hum Brain Mapp 2007 [Epub ahead of print].
124. Ponten SC, Bartolomei F, Stam CJ. Small-world networks and epilepsy: graph theoretical analysis of intracerebrally recorded mesial temporal lobe seizures. Clin Neurophysiol 2007; 118:918-927.
125. Micheloyannis S, Vourkas M, Tsirka V, et al. The influence of ageing on complex brain networks: a graph theoretical analysis. Hum Brain Mapp 2007 [Epub ahead of print].
126. Catani M, Allin MP, Husain M, et al. Symmetries in human brain language pathways correlate with verbal recall. Proc Natl Acad Sci U S A 2007; 104:17163-17168.
127. O'Shea J, Johansen-Berg H, Trief D, et al. Functionally specific reorganization in human premotor cortex. Neuron 2007; 54:479-490.