Anatomical Brain Networks on the Prediction of Abnormal Brain States

Brain Connectivity

Volumn 3, Issue 1, 2013, Pages 1-21

  Iturria Medina, Yasser ^a  

^a CUBAN NEUROSCIENCE CENTER   (Cuba)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85016068714     PISSN: 21580014     EISSN: 21580022     Source Type: Journal    
DOI: 10.1089/brain.2012.0122     Document Type: Review

References (208)

1. Achard S, Bassett D.S., Meyer-Lindenberg A, Bullmore ET. 2008. Fractal connectivity of long memory networks. Phys Rev E Stat Nonlin Soft Matter Phys 77:036104.
2. Achard S, Salvador R, Whitcher B, Suckling J, Bullmore ET. 2006. A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs. J Neurosci 26:63-72.
3. Alexander D.C., Hubbard P.L., Hall M.G., et al. 2010. Orientationally invariant indices of axon diameter and density from diffusion MRI. Neuroimage 52:1374-1389.
4. Almendinger S, Lovato L, Fukaura H, Hafler D, O'Connor K. 2010. Characterization of the myelin specific autoantibodies in acute disseminated encephalomyelitis. Clin Immunol 135:S81.
5. Amaral L.A., Scala A, Barthelemy M, Stanley HE. 2000. Classes of small-world networks. Proc Natl Acad Sci U S A 97:11149-11152.
6. Assaf Y, Blumenfeld-Katzir T, Yovel Y, Basser PJ. 2008. AxCaliber: a method for measuring axon diameter distribution from diffusion MRI. Magn Reson Med 59:1347-1354.
7. Axer H, Axer M, Krings T, Keyserlingk DGv. 2001. Quantitative estimation of 3-D fiber course in gross histological sections of the human brain using polarized light. J Neurosci Meth 105:121-131.
8. Axer H, Keyserlingk DGv. 2000. Mapping of fiber orientations in human internal capsule by means of polarized light and confocal scanning laser microscopy. J Neurosci Meth 94:165-175.
9. Axer M, Amunts K, Grãssel D, et al. 2011. A novel approach to the human connectome: ultra-high resolution mapping of fiber tracts in the brain. Neuroimage 54:1091-1101.
10. Axer M, Dammers J, Grããel D, Amunts K, Pietrzyk U, Zilles K. 2008. Nerve fiber mapping in histological sections of the human brain by means of polarized light. Neuroimage 41(Suppl. 1):92.
11. Barabãsi A.L., Albert R. 1999. Emergence of scaling in random networks. Science 286:509-512.
12. Bar-Shir A, Duncan I.D., Cohen Y. 2009. QSI and DTI of excised brains of the myelin-deficient rat. Neuroimage 48:109-116.
13. Basser P.J., Mattiello J, LeBihan D. 1994. Estimation of the effective self-diffusion tensor from the NMR spin echo. J Magn Reson B 103:247-254.
14. Basser P.J., Pajevic S, Pierpaoli C, Duda J, Aldroubi A. 2000. In vivo fiber tractography using DT-MRI data. Magn Reson Med 44:625-632.
15. Bassett D.S., Brown J.A., Deshpande V, Carlson J.M., Grafton ST. 2010a. Conserved and variable architecture of human white matter connectivity. Neuroimage 54:1262-1279.
16. Bassett D.S., Bullmore ET. 2009. Human brain networks in health and disease. Curr Opin Neurol 22:340-347.
17. Bassett D.S., Greenfield D.L., Meyer-Lindenberg A, Weinberger D.R., Moore S.W., Bullmore ET. 2010b. Efficient physical embedding of topologically complex information processing networks in brains and computer circuits. PLoS Comput Biol 6:e1000748.
18. Bassett D.S., 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.
19. Bastiani M, Goebel R, Shah N.J., Roebroeck A. 2012. Human cortical connectome reconstruction from diffusion weighted MRI: the effect of tractography algorithm. NeuroImage 62:1732-1749.
20. Behrens JBH, Robson TEJ, Drobnjak M.D., Rushworth I, Brady MFS, Smith J.M., Higham S.M., Matthews DJ. 2004. Changes in connectivity profiles define functionally distinct regions in human medial frontal cortex. Proc Natl Acad Sci U S A 101:13335-13340.
21. Behrens T.E., Johansen-Berg H, Woolrich M.W., Smith S.M., Wheeler-Kingshott C.A., Boulby P.A., Barker G.J., Sillery E.L., Sheehan K, Ciccarelli O, Thompson A.J., Brady J.M., Matthews PM. 2003b. Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging. Nat Neurosci 6:750-757.
22. Behrens TEJ, Berg H.J., Jbabdi S, Rushworth MFS, and Woolrich MW. 2007. Probabilistic diffusion tractography with multiple fibre orientations: what can we gain? Neuroimage 34:144-155.
23. Behrens TEJ, Woolrich M.W., Jenkinson M, Johansen-Berg H, Nunes R.G., Clare S, Matthews P.M., Brady J.M., Smith SM. 2003a. Characterization and propagation of uncertainty in diffusion-weighted MR imaging. Magn Reson Med 50:1077-1088.
24. Biernaskie J, Corbett D. 2001. Enriched rehabilitative training promotes improved forelimb motor function and enhanced dendritic growth after focal ischemic injury. J. Neurosci. 21:5272-5280.
25. Bishop CM. 2006. Pattern Recognition and Machine Learning. Singapore: Springer.
26. Blondel V.D., Guillaume J-L, Lambiotte R, Lefebvre E. 2008. Fast unfolding of communities in large networks. J Stat Mech P10008.
27. Brodmann K. 1909. Vergleichende Lokalisationslehre der Grosshirnrinde in ihren Prinzipien dargestellt auf Grund des Zellenbaues, Barth, Leipzig. Thomas, Springfield, I.L., 1960, pp. 201-230.
28. Brosseau C. 1998. Polarized Lightâa Statistical Optics Approach. New York, NY: Wiley.
29. Bullmore E, Sporns O. 2009. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci 10:186-198.
30. Burns GAPC, Young MP. 2000. Analysis of the connectional organisation of neural systems associated with the hippocampus in rats Philos Trans R Soc Lond B Biol Sci 355:55-70.
31. Buzsãki G, Geisler C, Henze D.A., Wang XJ. 2004. Interneuron diversity series: circuit complexity and axon wiring economy of cortical interneurons. Trends Neurosci 27:186-193.
32. Cajal SR. 1889a. Conexiãn general de los elementos nerviosos. La Medicina Prãctica. Madrid, octubre.
33. Cajal SR. 1889b. Nuevas aplicaciones del mãtodo de coloraciãn de Golgi. Gaceta Mãdica Catalana.
34. Cajal SR. 1891. Sobre la existencia de bifurcaciones y colaterales en los nervios sensitivos craneales y sustancia blanca del cerebro. Gaceta Sanitaria de Barcelona, abril.
35. Cajal SR. 1892. Observaciones anatãmicas sobre la corteza cerebral y asta de Ammon. Actas de la Sociedad Espaãola de Historia Natural. Segunda serie, tomo I, diciembre.
36. Canales-Rodrãguez E.J., Iturria-Medina Y, Alemãn-Gãmez Y, Melie-Garcãa L. 2010b. Deconvolution in diffusion spectrum imaging. Neuroimage 50:136-149.
37. Canales-Rodrãguez E.J., Lin C.P., Iturria-Medina Y, Yeh C.H., Cho K.H., Melie-Garcãa L. 2010a. Diffusion orientation transform revisited. Neuroimage 49:1326-1339.
38. Canales-Rodrãguez E.J., Melie-Garcãa L, Iturria-Medina Y. 2009. Mathematical description of q-Space in spherical coordinates: exact q-ball imaging. Magn Reson Med 61:1350-1367.
39. Cercignani M, Inlgese M, Pagani E, Comi G, Filippi M. 2001. Mean diffusivity and fractional anisotropy histograms of patients with multiple sclerosis. Am J Neuroradiol 22:952-958.
40. Chen Z.J., 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 18:2374-2381.
41. Chenevert T.L., Brunberg J.A., Pipe JG. 1990. Anisotropic diffusion within human whitematter: demonstration with NMR techniques in vivo. Radiology 177:401-405.
42. Cherniak C, Mokhtarzada Z, Rodriguez-Esteban R, Changizi K. 2004. Global optimization of cerebral cortex layout. Proc Natl Acad Sci U S A 101:1081-1086.
43. Conturo T.E., Lori N.F., Cull T.S., Akbudak E, Snyder A.Z., Shimony J.S., McKinstry R.C., Burton H, Raichle ME. 1999. Tracking neuronal fiber pathways in the living human brain. Proc Natl Acad Sci U S A 96:10422-10427.
44. Crofts J.J., Higham DJ. 2009. A weighted communicability measure applied to complex brain networks. J R Soc Interface 6:411-414.
45. Crofts J.J., Higham D.J., Bosnell R, Jbabdi S, Matthews P.M., Behrens T.E., Johansen-Berg H. 2011. Network analysis detects changes in the contralesional hemisphere following stroke. Neuroimage 54:161-169.
46. Dancause N, Barbay S, Frost S.B., Plautz E.J., Chen D, Zoubina EV. 2005. Extensive cortical rewiring after brain injury. J Neurosci 25:10167-10179.
47. Davatzikos C, Bhatt P, Shaw L.M., Batmanghelich K.N., Trojanowski JQ. 2011. Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification. Neurobiol Aging 32:2322.e19-2322.e27.
48. Davatzikos C, Fan Y, Wu X, Shen D, Resnick SM. 2008. Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging. Neurobiol Aging 29:514-523.
49. De Vico Fallani F, Astolfi L, Cincotti F, Mattia D, Marciani M.G., Salinari S, et al. 2007. Cortical functional connectivity networks in normal and spinal cord injured patients: evaluation by graph analysis. Hum Brain Mapp 28:1334-1346.
50. Dell'Acqua F, Rizzo G, Scifo P, Clarke R.A., Scotti G, Fazio F. 2007. A model-based deconvolution approach to solve fiber crossing in diffusion-weighted MR imaging. IEEE Trans Biomed Eng 54:462-472.
51. Dosenbach NUF, Nardos B, Cohen A.L., Fair D.A., Power J.D., Church J.A., Nelson S.M., Wig G.S., Vogel A.C., Lessov-Schlaggar C.N., Barnes K.A., Dubis J.W., Feczko E, Coalson R.S., Pruett J.R., Barch D.M., Petersen S.E., Schlaggar BL. 2010. Prediction of individual brain maturity using fMRI. Science 329:1358-1361.
52. Duarte-Carvajalino J.M., Jahanshad N, Lenglet C, McMahon K.L., de Zubicaray G.I., Martin N.G., Wright M.J., Thompson P.M., Sapiro G. 2012. Hierarchical topological network analysis of anatomical human brain connectivity and differences related to sex and kinship. Neuroimage 59:3784-3804.
53. Eguãluz V.M., Chialvo D.R., Cecchi G.A., Baliki M, Apkarian AV. 2005. Scale-free brain functional networks. Phys Rev Lett 94:018102.
54. Erdås P, Rãnyi A. 1960. On the evolution of random graphs. Publications of the Mathematical Institute of the Hungarian Academy of Sciences 5:17-61. www.renyi.hu/∼p_erdos/1961-15.pdf
55. Estrada E, Hatano N. 2008. Communicability in complex networks. Phys Rev E 77:036111.
56. Fabene P.F., Bentivoglio M. 1998. 1898-1998: Camillo Golgi and “the Golgi”: one hundred years of terminological clones. Brain Res Bull 47:195-198.
57. Fan Y, Batmanghelich N, Clark C.M., Davatzikos C, the Alzheimer's Disease Neuroimaging Initiative. 2008. Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline. Neuroimage 39:1731-1743.
58. Felleman D.J., van Essen DC. 1991. Distributed hierarchical processing in the primate cerebral cortex. Cereb Cortex 1:1-47.
59. Ferrarini L, et al. 2008. Hierarchical functional modularity in the resting-state human brain. Hum Brain Mapp 30:2220-2223.
60. Filippi M, Agosta F. 2010. Imaging biomarkers in multiple sclerosis. J Magn Reson Imaging 31:770-788.
61. Fonteijn H.M., Modat M, Clarkson M.J., Barnes J, Lehmann M, Hobbs N.Z., Scahill R.I., Tabrizi S.J., Ourselin S, Fox N.C., Alexander DC. 2012. An event-based model for disease progression and its application in familial Alzheimer's disease and Huntington's disease. Neuroimage 60, 1880-1889.
62. Fornito A, Bullmore ET. 2012. Connectomic intermediate phenotypes for psychiatric disorders. Front Psychiatry 3:32.
63. Fornito A, Zalesky A, Bassett D.S., Meunier D, Ellison-Wright I, Yucel M, Wood S.J., Shaw K, O'Connor J, Nertney D, Mowry B.J., Pantelis C, Bullmore ET. 2011. Genetic influences on cost-efficient organization of human cortical functional networks. J Neurosci 31:3261-3270.
64. Frost B, Diamond MI. 2010. Prion-like mechanisms in neurodegenerative diseases. Nat Rev Neurosci 11:155-159.
65. Gilbert EN. 1959. Random graphs. Ann Math Stat 30:1141-1144.
66. Gong G, Rosa-Neto P, Carbonell F, Chen Z.J., He Y, Evans AC. 2009. Age- and gender-related differences in the cortical anatomical network. J Neurosci 29:15684-15693.
67. Gudden B von. 1870. Experimental untersuchungen über das peripherische und centrale Nervensystem. Archiv für Psychiatrie und Nervenkrankheiten, Berlin, 2: 693-723.
68. Guye M, Bettus G, Bartolomei F, Cozzone PJ. 2010. Graph theoretical analysis of structural and functional connectivity MRI in normal and pathological brain networks. MAGMA 23:409-421.
69. Hagmann P. 2005. From diffusion MRI to brain connectomics. PhD Thesis, in Signal Processing Institute, Lausanne: Ecole Polytechnique Fãdãrale de Lausanne (EPFL), p. 127.
70. Hagmann P, Cammoun L, Gigandet X, Meuli R, Honey C.J., Wedeen V.J., Sporns O. 2008. Mapping the structural core of human cerebral cortex. PLoS Biol 6:e159.
71. Hagmann P, Kurant M, Gigandet X, Thiran P, Wedeen V.J., Meuli R, Thiran JP. 2007. Mapping human whole-brain structural networks with diffusion MRI. PLoS ONE 2:e597.
72. Harvey RJ. 2003. The prevalence and causes of dementia in people under the age of 65 years. J Neurol Neurosurg Psychiatry 74:1206-1209.
73. Higham D.J., Kalna G, Kibble M. 2007. Spectral clustering and its use in bioinformatics. J Comput Appl Math 204:25-37.
74. Hilgetag C.C., Burns G.A., O'Neill M.A., Scannell J.W., Young MP. 2000. Anatomical connectivity defines the organization of clusters of cortical areas in the macaque monkey and the cat. Phil Trans R Soc B 355:91-110.
75. Hilgetag C.C., Kaiser M. 2007. Organization and function of complex cortical networks. In: beim Graben P, Zhou C, Thiel M, Kurths J (eds.) Super-Computational Neuroscience: Complex Networks in Brain Dynamics. Lecture Notes in Physics, Berlin: Springer.
76. Hinne M, Heskes T, Beckmann C.F., van Gerven MAJ. 2012. Bayesian inference of structural brain networks. Neuroimage 66C:543-552.
77. Irimia A, Chambers M.C., Torgerson C.M., Van Horn JD. 2012. Circular representation of human cortical networks for subject and population-level connectomic visualization. NeuroImage 60:1340-1351.
78. Iturria-Medina Y. 2004. From diffusion images to the anatomical brain connectivity. Diploma Thesis, at Superior Institute for Applied Nuclear Technologies and Sciences, Cuba.
79. Iturria-Medina Y, Pãrez Fernãndez A, Morris D.M., Canales-Rodrãguez E.J., Haroon H.A., Garcãa Pentãn L, Augath M, Galãn Garcãa L, Logothetis N, Parker GJM, Melie-Garcãa L. 2011a. Brain hemispheric structural efficiency and interconnectivity rightward asymmetry in human and non-human primates. Cereb Cortex 21:56-67.
80. Iturria-Medina Y, Pãrez Fernãndez A, Valdãs Hernãndez P, Lorna Garcãa Pentãn, Canales-Rodrãguez E.J., Melie-Garcia L, Lage Castellanos A, Ontivero Ortega M. 2011b. Automated discrimination of brain pathological state attending to complex structural brain network properties: the shiverer mutant mouse case. PLOS One 6:e19071.
81. Iturria-Medina Y, Roberto C, Sotero, Erick J, Canales-Rodrãguez, Yasser Alemãn-Gãmez, Lester Melie-Garcãa. 2008. Studying the human brain anatomical network via diffusion-weighted MRI and graph theory. Neuroimage 40:1064-1076.
82. Iturria-Medina YEJ, Canales-Rodrãguez L, Meliã-Garcãa P.A., Valdãs-Hernãndez, Martãnez-Montes E, Alemãn-Gãmez A, and Bornot JM. 2007. Characterizing brain anatomical connections using diffusion weighted MRI and graph theory. Neuroimage 36:645-660.
83. Jbabdi S, Johansen-Berg H. 2011. Tractography: where do we go from here? Brain Connect 1:169-183.
84. Jbabdi S, Woolrich M.W., Andersson J.L., Behrens TE. 2007. A Bayesian framework for global tractography. Neuroimage 37:116-129.
85. Jbabdi S, Woolrich M.W., Behrens TEJ. 2009. Multiple-subjects connectivity based parcellation using hierarchical Dirichlet process mixture models. Neuroimage 44:373-384.
86. Jellinger K.A., Attems J. 2010. Prevalence of dementia disorders in the oldest-old: an autopsy study. Acta Neuropathol 119:421-433.
87. Jing Li, Burkhard C, Wunsche. 2005. An Analysis of Algorithms for In Vivo Fiber Tractography Using DW-MRI Data. Image and Vision Computing New Zealand - IVCNZ. www.cs.uky.edu/51E68551-D0FC-43D0-8AFB-FF8D7126A29A/ForceRequestingFullContent/51E68551-D0FC-43D0-8AFB-FF8D7126A29A/∼jzhang/pub/MRI/ji1.pdf
88. Johansen-Berg H, Behrens TE. 2009. Diffusion MRI from Quantitative Measurement to In Vivo Neuroanatomy. Elsevier Press.
89. Johansen-Berg H, Rushworth M.F., Bogdanovic M.D., Kischka U, Wimalaratna S, Matthews PM. 2002. The role of ipsilateral premotor cortex in hand movement after stroke. Proc Natl Acad Sci U S A 99:14518-14523.
90. Jones CT. 2003. Childhood autoimmune neurologic diseases of the central nervous system. Neurol Clin 21:745-764.
91. Jones D.K., Knãsche T.R., Turner R. 2012. White matter integrity, fiber count, and other fallacies: the do's and don'ts of diffusion MRI. Neuroimage, in press. DOI: 10.1016/j.neuroimage.2012.06.081; [Epub ahead of print].
92. Jones D.K., Simmons A, Williams S.C., Horsfield MA. 1999. Non-invasive assessment of axonal fiber connectivity in the human brain via diffusion tensor MRI. Magn Reson Med 42:37.
93. Kaiser M, Hilgetag CC. 2006. Nonoptimal component placement, but short processing paths, due to longdistance projections in neural systems. PLoS Comput Biol 2:e95.
94. Kobayashi M, Sato T, Sato A, Imamura T. 2009. Oldest-old dementia in a Japanese memory clinic. Brain and Nerve 61:972-978.
95. Kãbbert C, Apps R, Bechmann I, Lanciego J.L., Mey J, et al. 2000. Current concepts in neuroanatomical tracing. Prog Neurobiol 62:327-351.
96. Kondor R.I., Lafferty J. Diffusion Kernels on Graphs and Other Discrete Structures. In Proceedings of the 19th International Conference on Machine Learning, Sydney, Australia 2002, pp. 315-322.
97. Kãtter R, Sommer F. 2000. Global relationship between anatomical connectivity and activity propagation in the cerebral cortex. Philos Trans R Soc B 355:127-134.
98. Kãtter R, Stephan KE. 2003. Network participation indices: characterizing component roles for information processing in neural networks. Neural Netw 16: 1261-1275.
99. Kukull W.A., Higdon R, Bowen J.D., McCormick W.C., Teri L, Schellenberg G.D., van Belle G, Jolley L, Larson EB. 2002. Dementia and Alzheimer disease incidence: a prospective cohort study. Arch Neurol 59:1737-1746.
100. Landman B.S., Russo RL. 1971. On a pin versus block relationship for partitions of logic graphs. IEEE Trans on Comput C-20:1469-1479.
101. Latora V, Marchiori M. 2001. Efficient behavior of small-world networks. Phys Rev Lett 87:198701.
102. Laughlin S.B., Sejnowski TJ. 2003. Communication in neuronal networks. Science 301:1870-1874.
103. Lazar M, Weinstein D.M., Tsuruda J.S., Hasan K.M., Arfanakis K, et al. 2003. White matter tractography using diffusion tensor deflection. Hum Brain Mapp 18:306-321.
104. Le Bihan D, Breton E. 1985. Imagerie de diffusion in vivo par rãsonance magnãtiquenuclãaire. C R Acad Sc Paris T 301:1109-1112.
105. Le Bihan D, Breton E, Lallemand D, Grenier P, Cabanis E, Laval Jeantet M. 1986. MR Imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. Radiology 161:401-407.
106. Li K, Guo L, Faraco C, Zhu D, Deng D, Zhang T, Jiang X, Zhang D, Chen H, Hu H, et al. 2010. Individualized ROI optimization via maximization of group-wise consistency of structural and functional profiles. Adv Neural Inf Process Syst 23:1369-1377.
107. Li Y.H., Liu Y, Li J, Qin W, Li K.C., Yu C.S., Jiang TZ. 2009. Brain anatomical network and intelligence. PLoS Comput Biol 5:e1000395.
108. Liang Z, Zeng J, Liu S, Ling X, Xu A, Yu J. 2007. A prospective study of secondary degeneration following subcortical infarction using diffusion tensor imaging. J Neurol Neurosurg Psychiatry 78:581-586.
109. Lo C.Y., He Y, Lin CP. 2011. Graph theoretical analysis of human brain structural networks. Rev Neurosci 22:551-563.
110. Lotze M, Markert J, Hoppe PSJ, Plewnia C, Gerloff C. 2006. The role of multiple contralesional motor areas for complex hand movements after internal capsular lesion. J Neurosci 26:6096-6102.
111. Mazziotta J.C., Toga A.W., Evans A, Fox P, Lancaster J. 1995. A probabilistic atlas of the human brain: theory and rationale for its development. The International Consortium for Brain Mapping (ICBM). Neuroimage 2:89-101.
112. McDonald W.I., Compston A, Edan G, Goodkin D, Hartung H.P., et al. 2001. Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the Diagnosis of Multiple Sclerosis. Ann Neurol 50:121-127.
113. Meringer M. 1999. Fast generation of regular graphs and construction of cages. J Graph Theory 30:137-146.
114. Meunier D, Lambiotte R, Bullmore ET. 2010. Modular and hierarchically modular organization of brain networks. Front Neurosci 4:200.
115. Meunier D, Lambiotte R, Fornito A, Ersche K.D., Bullmore ET. 2009. Hierarchical modularity in human brain functional networks. Front Neuroinform 3:37.
116. Milgram S. 1967. The small-world problem. Psychol Today 1:61-67.
117. Milos R, Shen-Orr S, Itzkovitz S, Kashan N, Chklovskii D, Alon U. 2002. Network motifs: simple building blocks of complex networks. Science 298:824-827.
118. Misra C, Fan Y, Davatzikos C. 2009. Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: results from ADNI. Neuroimage 44:1414-1422.
119. Mori S, Crain B.J., Chacko V.P., van Zijl PC. 1999. Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging. Ann Neurol 45:265-269.
120. Morris D.M., Embleton K.V., Parker GJM. 2008. Probabilistic fibre tracking: differentiation of connections from chance events. Neuroimage 42:1329-1339.
121. Morrison PJ. 2010. Accurate prevalence and uptake of testing for Huntington's disease. Lancet Neurol 9:1147.
122. Newman MEJ. 2004. Fast algorithm for detecting community structure in networks. Phys Rev E 69:066133.
123. Newman MEJ. 2006. Modularity and community structure in networks. Proc Natl Acad Sci U S A 103:8577-8582.
124. Onnela J.P., Saramaki J, Kertesz J, Kaski K. 2005. Intensity and coherence of motifs in weighted complex networks Phys Rev E Stat Nonlin Soft Matter Phys 71:065103.
125. Ormerod I.E., Miller D.H., McDonald W.I., du Boulay E.P., Rudge P, Kendall B.E., et al. 1987. The role of NMR imaging in the assessment of multiple sclerosis and isolated neurological lesions. A quantitative study. Brain 110(Pt 6):1579-1616.
126. Ãzarslan E, Shepherd T.M., Vemuri B.C., Blackband S.J., Mareci TH. 2006. Resolution of complex tissue microarchitecture using the diffusion orientation transform (DOT). Neuroimage 31:1086-1103.
127. Parker G.J., Alexander DC. 2003. Probabilistic Monte Carlo based mapping of cerebral connections utilising whole-brain crossing fibre information. Inf Process Med Imaging 18:684-695.
128. Parker G.J., Haroon H.A., Wheeler-Kingshott CA. 2003. A framework for a streamline-based probabilistic index of connectivity (PICo) using a structural interpretation of MRI diffusion measurements. J Magn Reson Imaging 18:242-254.
129. Pierpaoli C, Barnett A, Pajevic S, Chen R, Penix L.R., Virta A, Basser P. 2001. Water diffusion changes in Wallerian degeneration and their dependence on white matter architecture. Neuroimage 13:1174-1185.
130. Pierpaoli C, Jezzard P, Basser P.J., Barnett A, Di CG. 1996. Diffusion tensor MR imaging of the human brain. Radiology 201:637-648.
131. Plassman B.L., Langa K.M., Fisher G.G., Heeringa S.G., Weir D.R., Ofstedal M.B., Burke J.R., Hurd M.D., Potter G.G., Rodgers W.L., et al. 2007. Prevalence of dementia in the United States: the aging, demographics, and memory study. Neuroepidemiology 29:125-132.
132. Raj A, Chen Y. 2011. The wiring economy principle: connectivity determines anatomy in the human brain. PLoS ONE 6:e14832.
133. Raj A, Kuceyeski A, Weiner M. 2012. A network diffusion model of disease progression in dementia. Neuron 73:1204-1215.
134. Ratnavalli E, Brayne C, Dawson K, Hodges JR. 2002. The prevalence of frontotemporal dementia. Neurology 58:1615-1621.
135. Ravasz E, Barabãsi AL. 2003. Hierarchical organization in complex networks. Phys Rev E Stat Nonlin Soft Matter Phys 67:026112.
136. Robinson E.C., Hammers A, Ericsson A, Edwards A.D., Rueckert D. 2010. Identifying population differences in whole-brain structural networks: a machine learning approach. Neuroimage 50:910-919.
137. Rubinov M, Sporns O. 2010. Complex network measures of brain connectivity: uses and interpretations. Neuroimage 52:1059-1069.
138. Salvador R, et al. 2005. Neurophysiological architecture of functional magnetic resonance images of human brain. Cereb Cortex 15:1332-1342.
139. Savadjiev P, Campbell JSW, Descoteaux M, Deriche R, Pike G.B., Siddiqi K. 2008. Labeling of ambiguous sub-voxel fibre bundle configurations in high angular resolution diffusion MRI. Neuroimage 41:58-68.
140. Savadjiev P, Campbell JSW, Pike G.B., Siddiqi K. 2006. 3D curve inference for diffusion MRI regularization and fibre tractog-raphy. Med Image Anal 10:799-813.
141. Scannell J.W., Blakemore C, Young MP. 1995. Analysis of connectivity in the cat cerebral cortex. J Neurosci 15:1463-1483.
142. Scannell J.W., et al. 1999. The connectional organization of the cortico-thalamic system of the cat. Cereb Cortex 9:277-299.
143. Schaechter J.D., Fricker Z.P., Perdue K.L., Helmer K.G., Vangel M.G., Greve DN. 2009. Microstructural status of ipsilesional and contralesional corticospinal tract correlates with motor skill in chronic stroke patients. Hum Brain Mapp 30:3461-3474.
144. Scheuner G, Hutschenreiter J. 1972. Polarisationsmikroskopie in der Histophysik. Leipzig: VEB Georg Thieme.
145. Schmahmann J.D., Pandya DN. 2006. Fiber Pathways of the Brain. New York, NY: Oxford University Press.
146. Schwarz A, Gozzi A, Bifone A. 2008. Community structure and modularity in networks of correlated brain activity. Magn Reson Imaging 26:914-920.
147. Sherbondy A.J., Dougherty R.F., Ananthanarayanan R, Modha D.S., Wandell BA. 2009. Think global, act local; projectome estimation with BlueMatter. Med Image Comput Comput Assist Interv 12:861-868.
148. Sherbondy A.J., Dougherty R.F., Ben-Shachar M, Napel S, Wandell BA. 2008. Con-Track: finding the most likely pathways between brain regions using diffusion tractography. J Vis 8:11-16.
149. Shu N, Liu Y, Li K, Duan Y, Wang J, Yu C, 2011. Diffusion tensor tractography reveals disrupted topological efficiency in white matter structural networks in multiple sclerosis. Cereb Cortex 21:2565-2577.
150. Simon HD. 1991. Partitioning of unstructured problems for parallel processing. Comput Syst Eng 2:135-148.
151. Skudlarski P, Jagannathan K, Anderson K, Stevens M.C., Calhoun V.D., Skudlarska B.A., Pearlson G. 2010. Brain connectivity is not only lower but different in schizophrenia: a combined anatomical and functional approach. Biol Psychiatry 68:61-69.
152. Smith S.M., Jenkinson M, Woolrich M.W., Beckmann C.F., Behrens T.E., Johansen-Berg H, et al. 2004. Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 23 (Suppl 1):S208-S219.
153. Sotero R.C., Trujillo-Barreto N.J., Iturria-Medina Y. 2005. Validating neural mass models with anatomically constrained coupling. Presented at the 11th Annual Meeting of the Organization for Human Brain Mapping, June 12-16, 2005, Toronto, Ontario, Canada. Available on CD-Rom in Neuroimage, Vol. 26, No.1.
154. Sotero R.C., Trujillo-Barreto N.J., Iturria-Medina Y, Carbonell F, Jimãnez JC. 2007. Realistically coupled neural mass models can generate EEG rhythms. Neural Comput 19:478-512.
155. Sotiropoulos S.N., Behrens TEJ, Jbabdi S. 2012. Ball and rackets: inferring fiber fanning from diffusion-weighted MRI. Neuroimage 60:1412-1425.
156. Sporns O. 2010. Networks of the Brain. MIT Press.
157. Sporns O. 2011a. From simple graphs to the connectome: networks in neuroimaging. Neuroimage DOI:10.1016/j.neuroimage.2011.08.085; [Epub ahead of print].
158. Sporns O. 2011b. The non-random brain: efficiency, economy, and complex dynamics. Front Comput Neurosci 5:5.
159. Sporns O, Honey C.J., Kãtter R. 2007. Identification and classification of hubs in brain networks. PLoS ONE 2:e1049.
160. Sporns O, Kãtter R. 2004. Motifs in brain networks. PLoS Biol 2:1910-1918.
161. 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.
162. Sporns O, Tononi G, Kãtter R. 2005. The human connectome: a structural description of the human brain. PLoS Comput Biol 1:e42.
163. Sporns O, Zwi J. 2004. The small-world of the cerebral cortex. Neuroinformatics 2:145-162.
164. Stam CJ. 2004. Functional connectivity patterns of human magnetoencephalographic recordings: a small-world network? Neurosci Lett 355:25-28.
165. Supekar K, Menon V, Rubin D, et al. 2008. Network analysis of intrinsic functional brain connectivity in Alzheimer's disease. PLoS Comput Biol 4:e1000100.
166. Stephan K.E., Hilgetag C.C., Burns GAPC, O'Neill M.A., Young M.P., Kãtter R. 2000. Computational analysis of functional connectivity between areas of primate cerebral cortex. Philos Trans R Soc Lond B Biol Sci 355:111-126.
167. Toga A, Thompson P, Susumu M, Amunts K, Zilles K. 2006. Towards multi modal atlases of the human brain. Nat Rev Neurosci 7:952-966.
168. Tononi G, Sporns O, Edelman GM. 1992. Reentry and the problem of integrating multiple cortical areas: simulation of dynamic integration in the visual system. Cereb Cortex 2:310-335.
169. 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 U S A 91:5033-5037.
170. Tononi G, Sporns O, Edelman GM. 1996. A complexity measure for selective matching of signals by the brain. Proc Natl Acad Sci U S A 93:3422-3427.
171. Tononi G, Sporns O, Edelman GM. 1999. Measures of degeneracy and redundancy in biological networks. Proc Natl Acad Sci U S A 96:3257-3262.
172. Tournier J.D., Calamante F, Connelly A. 2007. Robust determination of the fibre orientation distribution in diffusion MRI: non-negativity constrained super-resolved spherical deconvolution. Neuroimage 35:1459-1472.
173. Tournier J.D., Calamante F, Gadian D.G., Connelly A. 2004. Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution. Neuroimage 23:1176-1185.
174. Travers J, Milgram S. 1969. An experimental study of the small world problem. Sociometry 32:425-443.
175. Tuch DS. 2004. Q-ball imaging. Magn Reson Med 52:1358-1372.
176. Tuch D.S., Reese T.G., Wiegell M.R., Makris N, Belliveau J.W., Wedeen VJ. 2002a. High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity. Magn Reson Med 48:577-582.
177. Tuch DS. 2002b. MRI of complex tissue structure. PhD Thesis, Harvard University and Massachusetts Institute of Technology.
178. Tyszka J.M., Readhead C, Bearer E.L., Pautler R.G., Jacobs RE. 2006. Statistical diffusion tensor histology reveals regional dysmyelination effects in the shiverer mouse mutant. Neuroimage 29:1058-1065.
179. van den Heuvel M.P., Mandl R.C., Stam C.J., Kahn R.S., Hulshoff Pol HE. 2010. Aberrant frontal and temporal complex network structure in schizophrenia: a graph theoretical analysis. J Neurosci 30:15915-15926.
180. Verstraete E, Veldink J.H., Mandl R.C., van den Berg L.H., van den Heuvel MP. 2011. Impaired structural motor connectome in amyotrophic lateral sclerosis. PLoS One 6:e24239.
181. Vesalius, Andreas. 1544. On the Fabric of the Human Body, translated by WF Richardson and JB Carman. 5 vols. San Francisco and Novato: Norman Publishing, 1998-2009.
182. Waller A. 1850. Experiments on the section of the glossopharyngeal and hypoglossal nerves of the frog, and observations of the alterations produced thereby in the structure of their primitive fibres. Philos Trans R Soc 140:423-429.
183. Wang L, Yu C.S., Chen H, Qin W, He Y, et al. 2010. Dynamic functional reorganization of the motor execution network after stroke. Brain 133:1224-1238.
184. Wang L, Zhu C, He Y, Zang Y, Cao Q, Zhang H, Zhong Q, Wang Y. 2009. Altered small-world brain functional networks in children with attention-deficit/hyperactivity disorder. Hum Brain Mapp 30:638-649.
185. Wang Q, Su T.P., Zhou Y, Chou K.H., Chen I.Y., Jiang T, et al. 2012. Anatomical insights into disrupted small-world networks in schizophrenia. Neuroimage 59:1085-1093.
186. Watts D.J., Strogatz SH. 1998. Collective dynamics of “small-world” networks. Nature 393:440-442.
187. Wedeen V.J., Hagmann P, Tseng W.I., Reese T.G., Weisskoff RM. 2005. Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging. Magn Reson Med 54:1377-1386.
188. Wedeen V.J., Wang R.P., Schmahmann J.D., Benner T, Tseng W.Y., Dai G, Pandya D.N., Hagmann P, D'Arceuil H, de Crespigny AJ. 2008. Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers. Neuroimage 41:1267-77.
189. Wee C.Y., Yap P.T., Zhang D, Denny K, Browndyke J.N., Potter G.G., Welsh-Bohmer K.A., Wang L, Shen D. 2012. Identification of MCI individuals using structural and functional connectivity networks. Neuroimage 59:2045-2056.
190. Wee C.Y., Yap P.T., Li W, Denny K, Browndyke J.N., Potter G.G., Welsh-Bohmer, K.A., Wang L, Shen D. 2011. Enriched white matter connectivity networks for accurate identification of MCI patients. Neuroimage 54:1812-1822.
191. Weinstein D, Kindlmann G, Lundberg E. 1999. Tensorlines: Advection-Diffusion Based Propagation Through Diffusion Tensor Fields. Proceedings In IEEE Visualization '99, pp. 249-254.
192. Wen W, He Y, Sachdev P. 2011. Structural brain networks and neuropsychiatric disorders. Curr Opin Psychiatry 24:219-225.
193. White J.G., Southgate E, Thomson J.N., Brenner S. 1986. The structure of the nervous system of the nematode Caenorhabditis elegans. Phil Trans R Soc Lond B 314:1-340.
194. Gigandet X, Hagmann P, Kurant M, Cammoun L, Meuli R, Thiran JP. 2008. Estimating the confidence level of white matter connections obtained with MRI tractography. PLoS One 3:e4006.
195. Xia M, He Y. 2011. Magnetic resonance imaging and graph theoretical analysis of complex brain networks in neuropsychiatric disorders. Brain Connect 1:349-365.
196. Young MP. 1992. Objective analysis of the topological organization of the primate cortical visual system. Nature 358:152-155.
197. Young MP. 1993. The organization of neural systems in the primate cerebral cortex. Proc R Soc Lond B 252:13-18.
198. Yu S, Huang D, Singer W, Nikolic D. 2008. A small world of neuronal synchrony. Cereb Cortex 18:2891-2901.
199. Zalesky A, Cocchi L, Fornito A, Murray M.M., Bullmore ET. 2012. Connectivity differences in brain networks. Neuroimage 60:1055-1062.
200. Zalesky A, Fornito A, Bullmore ET. 2010b. Network-based statistic: identifying differences in brain networks. Neuroimage 53:1197-1207.
201. Zalesky A, Fornito A, Harding I.H., Cocchi L, Yücel M, Pantelis C, Bullmore ET. 2010a. Whole-brain anatomical networks: does the choice of nodes matter? Neuroimage 50:970-983.
202. Zalesky A, Fornito A, Seal M.L., Cocchi L, Westin C-F, Bullmore E.T., Egan G.F., Pantelis C. 2011. Disrupted axonal fiber connectivity in schizophrenia. Biol Psychiatry 69:80-89.
203. Zhang H, Schneider T, Wheeler-Kingshott C.A., Alexander DC. 2012. NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain. Neuroimage 61:1000-1016.
204. Zhang T, Guo L, Li K, Jing C, Hu X, Cui G, Li L, Liu T. 2011. Predicting functional cortical ROIs via DTI-derived fiber shape models. Cereb Cortex 22:854-864.
205. Zhou J, Gennatas E.D., Kramer J.H., Miller B.L., Seeley WW. 2012. Predicting regional neurodegeneration from the healthy brain functional connectome. Neuron 73:1216-1227.
206. Zhu D, et al. 2012. DICCCOL: Dense Individualized and Common Connectivity-Based Cortical Landmarks. Cereb Cortex, DOI:10.1093/cercor/bhs072; [Epub ahead of print].
207. Zhu D, Li K, Faraco C, Deng F, Zhang D, Jiang X, Chen H, Guo L, Miller S, Liu T. 2011a. Discovering dense and consistent landmarks in the brain. Inf Process Med Imaging 22:97-110.
208. Zhu D, Li K, Faraco C, Deng F, Zhang D, Jiang X, Chen H, Guo L, Miller L, Liu T. 2011b. Optimization of functional brain ROIs via maximization of consistency of structural connectivity profiles. Neuroimage 59:1382-1393.