21 Brain Morphological and Functional Networks …
341
52. M.E. Newman, Modularity and community structure in networks. Proc. Natl. Acad. Sci. 103,
8577–8582 (2006)
53. D. Papo, M. Zanin, J.A. Pineda-Pardo, S. Boccaletti, J.M. Buldú, Functional brain networks:
great expectations, hard times and the big leap forward. Philos. Trans. R. Soc. B Biol. Sci. 369,
20130525 (2014)
54. H.-J. Park, K. Friston, Structural and functional brain networks: from connections to cognition.
Science 342, 1238411 (2013)
55. J.D. Power et al., Functional network organization of the human brain. Neuron 72, 665–78
(2011)
56. M.E. Raichle, D.A. Gusnard, Appraising the brain’s energy budget. Proc. Natl. Acad. Sci. 99,
10237–10239 (2002)
57. C. Reveley et al., Superficial white matter fiber systems impede detection of long-range cortical
connections in diffusion mr tractography. Proc. Nat. Acad. Sci. 112, E2820–E2828 (2015)
58. Y.-A. Rho, R.A. McIntosh, V.K. Jirsa, Synchrony of two brain regions predicts the blood oxygen
level dependent activity of a third. Brain connectivity 1, 73–80 (2011)
59. P. Ritter, M. Schirner, A.R. McIntosh, V.K. Jirsa, The virtual brain integrates computational
modeling and multimodal neuroimaging. Brain Connectivity 3, 121–145 (2013)
60. M. Rubinov, O. Sporns, Complex network measures of brain connectivity: uses and interpretations. NeuroImage 52, 1059–1069 (2010)
61. G. Sanabria-Diaz et al., Surface area and cortical thickness descriptors reveal different attributes
of the structural human brain networks. Neuroimage 50, 1497–1510 (2010)
62. J. Seidlitz et al., Morphometric similarity networks detect microscale cortical organization and
predict inter-individual cognitive variation. Neuron 97, 231–247 (2018)
63. O. Sporns, Network analysis, complexity, and brain function. Complexity 8, 56–60 (2002)
64. O. Sporns, Structure and function of complex brain networks. Dialogues clin. Neurosci. 15,
247 (2013)
65. O. Sporns, R.F. Betzel, Modular brain networks. Annu. Rev. Psychol. 67, 613–640 (2016)
66. C.J. Stam, Modern network science of neurological disorders. Nat. Rev. Neurosci. 15, 683–695
(2014)
67. H. Tost, E. Bilek, A. Meyer-Lindenberg, Brain connectivity in psychiatric imaging genetics.
Neuroimage 62, 2250–2260 (2012)
68. N.B. Turk-Browne, Functional interactions as big data in the human brain. Science 342, 580–
584 (2013)
69. B. Tzourio-Mazoyer et al., Automated anatomical labeling of activations in SPM using a
macroscopic anatomical parcellation of the MNI MRI single-subject brain. NeuroImage 15,
273–289 (2002)
70. S.L. Valk et al., Structural plasticity of the social brain: differential change after socio-affective
and cognitive mental training. Sci. Adv. 3, e1700489 (2017)
71. M.P. van den Heuvel, C.J. Stam, M. Boersma, H.H. Pol, Small-world and scale-free organization
of voxel-based resting-state functional connectivity in the human brain. Neuroimage 43, 528–
539 (2008)
72. M.P. van den Heuvel, L.H. Scholtens, L.F. Barrett, C.C. Hilgetag, M.A. de Reus, Bridging
cytoarchitectonics and connectomics in human cerebral cortex. J. Neurosci. 35, 13943–13948
(2015)
73. F. Váša et al., Adolescent tuning of association cortex in human structural brain networks.
Cereb. Cortex 28, 281–294 (2017)
74. V. Vuksanovi´ c, Cortical thickness and functional networks modules by cortical lobes. Neuroscience423, 172–176 (2019)
75. V. Vuksanovi´ c, P. Hövel, Dynamic changes in network synchrony reveal resting-state functional
networks. Chaos25, 023116 (2015)
76. V. Vuksanovi´ c, P. Hövel, Role of structural inhomogeneities in the resting-state brain dynamics.
submitted
77. V. Vuksanovi´ c, R. Staff, T. Ahearn, A. Murray, W. Claude, Cortical thickness and surface
area networks in healthy aging, alzheimer’s disease and behavioral variant fronto-temporal
dementia. Int. J. Neur. Sys. (2019), (in press)
341
52. M.E. Newman, Modularity and community structure in networks. Proc. Natl. Acad. Sci. 103,
8577–8582 (2006)
53. D. Papo, M. Zanin, J.A. Pineda-Pardo, S. Boccaletti, J.M. Buldú, Functional brain networks:
great expectations, hard times and the big leap forward. Philos. Trans. R. Soc. B Biol. Sci. 369,
20130525 (2014)
54. H.-J. Park, K. Friston, Structural and functional brain networks: from connections to cognition.
Science 342, 1238411 (2013)
55. J.D. Power et al., Functional network organization of the human brain. Neuron 72, 665–78
(2011)
56. M.E. Raichle, D.A. Gusnard, Appraising the brain’s energy budget. Proc. Natl. Acad. Sci. 99,
10237–10239 (2002)
57. C. Reveley et al., Superficial white matter fiber systems impede detection of long-range cortical
connections in diffusion mr tractography. Proc. Nat. Acad. Sci. 112, E2820–E2828 (2015)
58. Y.-A. Rho, R.A. McIntosh, V.K. Jirsa, Synchrony of two brain regions predicts the blood oxygen
level dependent activity of a third. Brain connectivity 1, 73–80 (2011)
59. P. Ritter, M. Schirner, A.R. McIntosh, V.K. Jirsa, The virtual brain integrates computational
modeling and multimodal neuroimaging. Brain Connectivity 3, 121–145 (2013)
60. M. Rubinov, O. Sporns, Complex network measures of brain connectivity: uses and interpretations. NeuroImage 52, 1059–1069 (2010)
61. G. Sanabria-Diaz et al., Surface area and cortical thickness descriptors reveal different attributes
of the structural human brain networks. Neuroimage 50, 1497–1510 (2010)
62. J. Seidlitz et al., Morphometric similarity networks detect microscale cortical organization and
predict inter-individual cognitive variation. Neuron 97, 231–247 (2018)
63. O. Sporns, Network analysis, complexity, and brain function. Complexity 8, 56–60 (2002)
64. O. Sporns, Structure and function of complex brain networks. Dialogues clin. Neurosci. 15,
247 (2013)
65. O. Sporns, R.F. Betzel, Modular brain networks. Annu. Rev. Psychol. 67, 613–640 (2016)
66. C.J. Stam, Modern network science of neurological disorders. Nat. Rev. Neurosci. 15, 683–695
(2014)
67. H. Tost, E. Bilek, A. Meyer-Lindenberg, Brain connectivity in psychiatric imaging genetics.
Neuroimage 62, 2250–2260 (2012)
68. N.B. Turk-Browne, Functional interactions as big data in the human brain. Science 342, 580–
584 (2013)
69. B. Tzourio-Mazoyer et al., Automated anatomical labeling of activations in SPM using a
macroscopic anatomical parcellation of the MNI MRI single-subject brain. NeuroImage 15,
273–289 (2002)
70. S.L. Valk et al., Structural plasticity of the social brain: differential change after socio-affective
and cognitive mental training. Sci. Adv. 3, e1700489 (2017)
71. M.P. van den Heuvel, C.J. Stam, M. Boersma, H.H. Pol, Small-world and scale-free organization
of voxel-based resting-state functional connectivity in the human brain. Neuroimage 43, 528–
539 (2008)
72. M.P. van den Heuvel, L.H. Scholtens, L.F. Barrett, C.C. Hilgetag, M.A. de Reus, Bridging
cytoarchitectonics and connectomics in human cerebral cortex. J. Neurosci. 35, 13943–13948
(2015)
73. F. Váša et al., Adolescent tuning of association cortex in human structural brain networks.
Cereb. Cortex 28, 281–294 (2017)
74. V. Vuksanovi´ c, Cortical thickness and functional networks modules by cortical lobes. Neuroscience423, 172–176 (2019)
75. V. Vuksanovi´ c, P. Hövel, Dynamic changes in network synchrony reveal resting-state functional
networks. Chaos25, 023116 (2015)
76. V. Vuksanovi´ c, P. Hövel, Role of structural inhomogeneities in the resting-state brain dynamics.
submitted
77. V. Vuksanovi´ c, R. Staff, T. Ahearn, A. Murray, W. Claude, Cortical thickness and surface
area networks in healthy aging, alzheimer’s disease and behavioral variant fronto-temporal
dementia. Int. J. Neur. Sys. (2019), (in press)