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Volumn 36, Issue 2, 2012, Pages 2137-2145

Using computational models to relate structural and functional brain connectivity

Author keywords

Brain disease; Computational modelling; Functional connectivity; Graph theory; Structural connectivity

Indexed keywords

ARTICLE; BRAIN ELECTROPHYSIOLOGY; BRAIN FUNCTION; CELL POPULATION; CORRELATION ANALYSIS; ELECTROENCEPHALOGRAM; FUNCTIONAL CONNECTIVITY; MATHEMATICAL MODEL; NERVE CELL; NEUROIMAGING; OSCILLATION; POPULATION DYNAMICS; PRIORITY JOURNAL; STATISTICAL ANALYSIS; STRUCTURAL CONNECTIVITY; WILSON COWAN MODEL;

EID: 84864011851     PISSN: 0953816X     EISSN: 14609568     Source Type: Journal    
DOI: 10.1111/j.1460-9568.2012.08081.x     Document Type: Article
Times cited : (61)

References (32)
  • 1
    • 68449088228 scopus 로고    scopus 로고
    • Human brain networks in health and disease
    • Bassett, D.S. & Bullmore, E.T. (2009) Human brain networks in health and disease. Curr. Opin. Neurobiol., 22, 340-347.
    • (2009) Curr. Opin. Neurobiol. , vol.22 , pp. 340-347
    • Bassett, D.S.1    Bullmore, E.T.2
  • 2
    • 77954534490 scopus 로고    scopus 로고
    • Connecting mean field models of neural activity to EEG and fMRI data
    • 2, SI)
    • Bojak, I., Oostendorp, T.F., Reid, A.T. & Kotter, R. (2010) Connecting mean field models of neural activity to EEG and fMRI data. Brain Topogr., 23 (2, SI), 139-149.
    • (2010) Brain Topogr. , vol.23 , pp. 139-149
    • Bojak, I.1    Oostendorp, T.F.2    Reid, A.T.3    Kotter, R.4
  • 3
    • 60549103853 scopus 로고    scopus 로고
    • Complex brain networks: graph theoretical analysis of structural and functional systems
    • Bullmore, E. & Sporns, O. (2009) Complex brain networks: graph theoretical analysis of structural and functional systems. Nat. Rev. Neurosci., 10, 186-198.
    • (2009) Nat. Rev. Neurosci. , vol.10 , pp. 186-198
    • Bullmore, E.1    Sporns, O.2
  • 4
    • 84859736998 scopus 로고    scopus 로고
    • Phase models and oscillators with time delayed coupling
    • Campbell, S.A. & Kobelevskiy, I. (2012) Phase models and oscillators with time delayed coupling. Discrete Contin. Dyn. Syst. 8, 2653-2673.
    • (2012) Discrete Contin. Dyn. Syst. , vol.8 , pp. 2653-2673
    • Campbell, S.A.1    Kobelevskiy, I.2
  • 6
    • 84994000511 scopus 로고    scopus 로고
    • On the influence of amplitude on the connectivity between phases
    • doi: 103389/fninf201100006 [online]
    • Daffertshofer, A. & van Wijk, B.C.M. (2011) On the influence of amplitude on the connectivity between phases. Front. Neuroinform., 5, 6, doi: 10.3389/fninf.2011.00006 [online].
    • (2011) Front. Neuroinform. , vol.5 , pp. 6
    • Daffertshofer, A.1    van Wijk, B.C.M.2
  • 7
    • 78650339790 scopus 로고    scopus 로고
    • Emerging concepts for the dynamical organization of resting-state activity in the brain
    • Deco, G., Jirsa, V.K. & McIntosh, A.R. (2011) Emerging concepts for the dynamical organization of resting-state activity in the brain. Nat. Rev. Neurosci., 12, 43-56.
    • (2011) Nat. Rev. Neurosci. , vol.12 , pp. 43-56
    • Deco, G.1    Jirsa, V.K.2    McIntosh, A.R.3
  • 9
    • 55449107481 scopus 로고    scopus 로고
    • Noise during rest enables the exploration of the brain's dynamic repertoire
    • Ghosh, A., Rho, Y., McIntosh, A.R., Kötter, R. & Jirsa, V.K. (2008) Noise during rest enables the exploration of the brain's dynamic repertoire. PLoS Comput. Biol., 4, e1000196.
    • (2008) PLoS Comput. Biol. , vol.4
    • Ghosh, A.1    Rho, Y.2    McIntosh, A.R.3    Kötter, R.4    Jirsa, V.K.5
  • 11
    • 78650180896 scopus 로고    scopus 로고
    • Functional connectivity in resting-state fMRI: is linear correlation sufficient?
    • Hlinka, J., Palus, M., Vejmelka, M., Mantini, D. & Corbetta, M. (2011a) Functional connectivity in resting-state fMRI: is linear correlation sufficient? NeuroImage, 54, 2218-2225.
    • (2011) NeuroImage , vol.54 , pp. 2218-2225
    • Hlinka, J.1    Palus, M.2    Vejmelka, M.3    Mantini, D.4    Corbetta, M.5
  • 12
    • 84864018928 scopus 로고    scopus 로고
    • Inferring coupling structure from dynamics in complex systems: consequences for graph-theoretical analysis
    • In Thurner, S. & Szell, M. (Eds), 11th European Conference on Complex Systems, Vienna. Löcker Verlag, Vienna 156.
    • Hlinka, J., Hartman, D., Vejmelka, M. & Paluš, M. (2011b) Inferring coupling structure from dynamics in complex systems: consequences for graph-theoretical analysis. In Thurner, S. & Szell, M. (Eds), ECCS'11 Book of Abstracts. 11th European Conference on Complex Systems, Vienna. Löcker Verlag, Vienna, pp. 156.
    • (2011) ECCS'11 Book of Abstracts
    • Hlinka, J.1    Hartman, D.2    Vejmelka, M.3    Paluš, M.4
  • 13
    • 34547219105 scopus 로고    scopus 로고
    • Network structure of cerebral cortex shapes functional connectivity on multiple time scales
    • Honey, C.J., Kotter, R., Breakspear, M. & Sporns, O. (2007) Network structure of cerebral cortex shapes functional connectivity on multiple time scales. Proc. Nat. Acad. Sci. USA, 104, 10240-10245.
    • (2007) Proc. Nat. Acad. Sci. USA , vol.104 , pp. 10240-10245
    • Honey, C.J.1    Kotter, R.2    Breakspear, M.3    Sporns, O.4
  • 14
    • 77954386968 scopus 로고    scopus 로고
    • Can structure predict function in the human brain?
    • Honey, C.J., Thivierge, J.-P. & Sporns, O. (2010) Can structure predict function in the human brain? NeuroImage, 52, 766-776.
    • (2010) NeuroImage , vol.52 , pp. 766-776
    • Honey, C.J.1    Thivierge, J.-P.2    Sporns, O.3
  • 16
    • 44349168786 scopus 로고    scopus 로고
    • Network 'Small-World-Ness': a quantitative method for determining canonical network equivalence
    • Humphries, M.D. & Gurney, K. (2008) Network 'Small-World-Ness': a quantitative method for determining canonical network equivalence. PLoS ONE, 3, e0002051.
    • (2008) PLoS ONE , vol.3
    • Humphries, M.D.1    Gurney, K.2
  • 17
    • 0029374946 scopus 로고
    • Electroencephalogram and visual evoked potential generation in a mathematical model of coupled cortical columns
    • Jansen, B.H. & Rit, V.G. (1995) Electroencephalogram and visual evoked potential generation in a mathematical model of coupled cortical columns. Biol. Cybern., 73, 357-366.
    • (1995) Biol. Cybern. , vol.73 , pp. 357-366
    • Jansen, B.H.1    Rit, V.G.2
  • 18
    • 6344245918 scopus 로고    scopus 로고
    • Online retrieval, processing, and visualization of primate connectivity data from the CoCoMac database
    • Kotter, R. (2004) Online retrieval, processing, and visualization of primate connectivity data from the CoCoMac database. Neuroinformatics, 2, 127-144.
    • (2004) Neuroinformatics , vol.2 , pp. 127-144
    • Kotter, R.1
  • 20
    • 79952434630 scopus 로고    scopus 로고
    • Bifurcations and state changes in the human alpha rhythm: theory and experiment
    • In SteynRoss, D.A. & SteynRoss, M. (Eds), Springer, NY
    • Liley, D.T.J., Bojak, I., Dafilis, M.P., van Veen, L., Frascoli, F. & Foster, B.L. (2010) Bifurcations and state changes in the human alpha rhythm: theory and experiment. In SteynRoss, D.A. & SteynRoss, M. (Eds), Modeling Phase Transitions in the Brain. Springer, NY, pp. 117-145.
    • (2010) Modeling Phase Transitions in the Brain , pp. 117-145
    • Liley, D.T.J.1    Bojak, I.2    Dafilis, M.P.3    van Veen, L.4    Frascoli, F.5    Foster, B.L.6
  • 22
    • 0037012880 scopus 로고    scopus 로고
    • Specificity and stability in topology of protein networks
    • Maslov, S. & Sneppen, K. (2002) Specificity and stability in topology of protein networks. Science, 296, 910-913.
    • (2002) Science , vol.296 , pp. 910-913
    • Maslov, S.1    Sneppen, K.2
  • 23
    • 0034300367 scopus 로고    scopus 로고
    • Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients
    • Mormann, F., Lehnertz, K., David, P. & Elger, C. (2000) Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients. Physica D, 144, 358-369.
    • (2000) Physica D , vol.144 , pp. 358-369
    • Mormann, F.1    Lehnertz, K.2    David, P.3    Elger, C.4
  • 24
    • 77954385460 scopus 로고    scopus 로고
    • Complex network measures of brain connectivity: uses and interpretations
    • Rubinov, M. & Sporns, O. (2010) Complex network measures of brain connectivity: uses and interpretations. NeuroImage, 52, 1059-1069.
    • (2010) NeuroImage , vol.52 , pp. 1059-1069
    • Rubinov, M.1    Sporns, O.2
  • 29
    • 84892566412 scopus 로고    scopus 로고
    • The non-random brain: efficiency, economy, and complex dynamics
    • Sporns, O. (2011) The non-random brain: efficiency, economy, and complex dynamics. Front. Comput. Neurosci., 5, doi: 10.3389/fncom.2011.00005 [online].
    • (2011) Front. Comput. Neurosci. , vol.5
    • Sporns, O.1
  • 30
    • 33845742477 scopus 로고    scopus 로고
    • Small-world networks and functional connectivity in Alzheimer's disease
    • Stam, C.J., Jones, B.F., Nolte, G., Breakspear, M. & Scheltens, P. (2007) Small-world networks and functional connectivity in Alzheimer's disease. Cereb. Cortex, 17, 92-99.
    • (2007) Cereb. Cortex , vol.17 , pp. 92-99
    • Stam, C.J.1    Jones, B.F.2    Nolte, G.3    Breakspear, M.4    Scheltens, P.5
  • 31
    • 0032482432 scopus 로고    scopus 로고
    • Collective dynamics of 'small-world' networks
    • Watts, D. & Strogatz, S. (1998) Collective dynamics of 'small-world' networks. Nature, 393, 440-442.
    • (1998) Nature , vol.393 , pp. 440-442
    • Watts, D.1    Strogatz, S.2
  • 32
    • 0015260274 scopus 로고
    • Excitatory and inhibitory interactions in localized populations of model neurons
    • Wilson, H.R. & Cowan, J.D. (1972) Excitatory and inhibitory interactions in localized populations of model neurons. Biophys. J., 12, 1-24.
    • (1972) Biophys. J. , vol.12 , pp. 1-24
    • Wilson, H.R.1    Cowan, J.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.