21 Brain Morphological and Functional Networks …
339
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2. J. Ashburner, K.J. Friston, Diffeomorphic registration using geodesic shooting and gaussnewton optimisation. NeuroImage 55, 954–967 (2011)
3. D.S. Bassett et al., Hierarchical organization of human cortical networks in health and
schizophrenia. J. Neurosci. 28, 9239–9248 (2008)
4. D.S. Bassett, E.T. Bullmore, Small-world brain networks. Neuroscientist 12, 512–523 (2006)
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6. D.S. Bassett, A. Meyer-Lindenberg, D.R. Weinberger, R. Coppola, E. Bullmore, Cognitive
fitness of cost-efficient brain functional networks. Proc. Natl. Acad. Sci. U.S.A. 106, 11747–
11752 (2009)
7. M.A. Bertolero, B.T. Yeo, M. Desposito, The modular and integrative functional architecture
of the human brain. Proc. Nat. Acad. Sci.112, E6798–E6807 (2015)
8. R.F. Betzel et al., The modular organization of human anatomical brain networks: accounting
for the cost of wiring. Netw. Neurosci. 1, 42–68 (2017)
9. J. Boyke, J. Driemeyer, C. Gaser, C. Büchel, A. May, Training-induced brain structure changes
in the elderly. J. Neurosci. 28, 7031–7035 (2008)
10. M. Breakspear, S. Heitmann, A. Daffertshofer, Generative models of cortical oscillations:
neurobiological implications of the kuramoto model. Front. Hum. Neurosci. 4, (2010)
11. M. Breakspear, S. Heitmann, A. Daffertshofer, Generative models of cortical oscillations:
neurobiological implications of the Kuramoto model. Front. Hum. Neurosci. 4, 1–14 (2010)
12. R.L. Buckner et al., Cortical hubs revealed by intrinsic functional connectivity: mapping,
assessment of stability, and relation to alzheimer’s disease. J. Neurosci. 29, 1860–1873 (2009)
13. E.T. Bullmore, D.S. Bassett, Brain graphs: graphical models of the human brain connectome.
Annu. Rev. Clin. psychol. 7, 113–140 (2011)
14. E.T. Bullmore, O. Sporns, Complex brain networks: graph theoretical analysis of structural
and functional systems. Nat. Rev. Neurosci. 10, 186–198 (2009)
15. C.T. Butts, Revisiting the foundations of network analysis. science 325, 414–416 (2009)
16. V.D. Calhoun, R. Miller, G. Pearlson, T. Adalı, The chronnectome: time-varying connectivity
networks as the next frontier in fmri data discovery. Neuron 84, 262–274 (2014)
17. M. Catani, M.T. de Schotten, D. Slater, F. Dell’Acqua, Connectomic approaches before the
connectome. Neuroimage 80, 2–13 (2013)
18. M.S. Cetin et al., Multimodal classification of schizophrenia patients with meg and fmri data
using static and dynamic connectivity measures. Fron. Neurosci. 10, 466 (2016)
19. C.-H. Chen et al., Genetic topography of brain morphology. Proc. Nat. Acad. Sci. 110, 17089–
17094 (2013)
20. Z.J. Chen, Y. He, P. Rosa-Neto, J. Germann, A.C. Evans, Revealing modular architecture
of human brain structural networks by using cortical thickness from mri. Cereb. Cortex 18,
2374–2381 (2008)
21. N.A. Crossley et al., Cognitive relevance of the community structure of the human brain
functional coactivation network. Proc. Natl. Acad. Sci. 110, 11583–11588 (2013)
22. O. David, D. Cosmelli, K.J. Friston, Evaluation of different measures of functional connectivity
using a neural mass model. Neuroimage 21, 659–673 (2004)
23. G. Deco, V.K. Jirsa, A.R. McIntosh, O. Sporns, R. Kötter, Key role of coupling, delay, and
noise in resting brain fluctuations. Proc. Natl. Acad. Sci. U.S.A. 106, 10302–10307 (2009).
http://www.pnas.org/content/106/25/10302.full.pdf+html
24. G. Deco, V.K. Jirsa, A.R. McIntosh, Emerging concepts for the dynamical organization of
resting-state activity in the brain. Nat. Rev. Neurosci. 12, 43–56 (2011)
25. R.S. Desikan et al., An automated labeling system for subdividing the human cerebral cortex
on mri scans into gyral based regions of interest. Neuroimage 31, 968–980 (2006)
339
References
1. A. Alexander-Bloch, J.N. Giedd et al., Imaging structural co-variance between human brain
regions. Nat. Rev. Neurosci 14, 322 (2013)
2. J. Ashburner, K.J. Friston, Diffeomorphic registration using geodesic shooting and gaussnewton optimisation. NeuroImage 55, 954–967 (2011)
3. D.S. Bassett et al., Hierarchical organization of human cortical networks in health and
schizophrenia. J. Neurosci. 28, 9239–9248 (2008)
4. D.S. Bassett, E.T. Bullmore, Small-world brain networks. Neuroscientist 12, 512–523 (2006)
5. D.S. Bassett, E.T. Bullmore, Human brain networks in health and disease. Curr. Opin. Neurol.
22, 340–347 (2009)
6. D.S. Bassett, A. Meyer-Lindenberg, D.R. Weinberger, R. Coppola, E. Bullmore, Cognitive
fitness of cost-efficient brain functional networks. Proc. Natl. Acad. Sci. U.S.A. 106, 11747–
11752 (2009)
7. M.A. Bertolero, B.T. Yeo, M. Desposito, The modular and integrative functional architecture
of the human brain. Proc. Nat. Acad. Sci.112, E6798–E6807 (2015)
8. R.F. Betzel et al., The modular organization of human anatomical brain networks: accounting
for the cost of wiring. Netw. Neurosci. 1, 42–68 (2017)
9. J. Boyke, J. Driemeyer, C. Gaser, C. Büchel, A. May, Training-induced brain structure changes
in the elderly. J. Neurosci. 28, 7031–7035 (2008)
10. M. Breakspear, S. Heitmann, A. Daffertshofer, Generative models of cortical oscillations:
neurobiological implications of the kuramoto model. Front. Hum. Neurosci. 4, (2010)
11. M. Breakspear, S. Heitmann, A. Daffertshofer, Generative models of cortical oscillations:
neurobiological implications of the Kuramoto model. Front. Hum. Neurosci. 4, 1–14 (2010)
12. R.L. Buckner et al., Cortical hubs revealed by intrinsic functional connectivity: mapping,
assessment of stability, and relation to alzheimer’s disease. J. Neurosci. 29, 1860–1873 (2009)
13. E.T. Bullmore, D.S. Bassett, Brain graphs: graphical models of the human brain connectome.
Annu. Rev. Clin. psychol. 7, 113–140 (2011)
14. E.T. Bullmore, O. Sporns, Complex brain networks: graph theoretical analysis of structural
and functional systems. Nat. Rev. Neurosci. 10, 186–198 (2009)
15. C.T. Butts, Revisiting the foundations of network analysis. science 325, 414–416 (2009)
16. V.D. Calhoun, R. Miller, G. Pearlson, T. Adalı, The chronnectome: time-varying connectivity
networks as the next frontier in fmri data discovery. Neuron 84, 262–274 (2014)
17. M. Catani, M.T. de Schotten, D. Slater, F. Dell’Acqua, Connectomic approaches before the
connectome. Neuroimage 80, 2–13 (2013)
18. M.S. Cetin et al., Multimodal classification of schizophrenia patients with meg and fmri data
using static and dynamic connectivity measures. Fron. Neurosci. 10, 466 (2016)
19. C.-H. Chen et al., Genetic topography of brain morphology. Proc. Nat. Acad. Sci. 110, 17089–
17094 (2013)
20. Z.J. Chen, Y. He, P. Rosa-Neto, J. Germann, A.C. Evans, Revealing modular architecture
of human brain structural networks by using cortical thickness from mri. Cereb. Cortex 18,
2374–2381 (2008)
21. N.A. Crossley et al., Cognitive relevance of the community structure of the human brain
functional coactivation network. Proc. Natl. Acad. Sci. 110, 11583–11588 (2013)
22. O. David, D. Cosmelli, K.J. Friston, Evaluation of different measures of functional connectivity
using a neural mass model. Neuroimage 21, 659–673 (2004)
23. G. Deco, V.K. Jirsa, A.R. McIntosh, O. Sporns, R. Kötter, Key role of coupling, delay, and
noise in resting brain fluctuations. Proc. Natl. Acad. Sci. U.S.A. 106, 10302–10307 (2009).
http://www.pnas.org/content/106/25/10302.full.pdf+html
24. G. Deco, V.K. Jirsa, A.R. McIntosh, Emerging concepts for the dynamical organization of
resting-state activity in the brain. Nat. Rev. Neurosci. 12, 43–56 (2011)
25. R.S. Desikan et al., An automated labeling system for subdividing the human cerebral cortex
on mri scans into gyral based regions of interest. Neuroimage 31, 968–980 (2006)