메뉴 건너뛰기




Volumn 12, Issue 8, 2016, Pages

Modeling of Large-Scale Functional Brain Networks Based on Structural Connectivity from DTI: Comparison with EEG Derived Phase Coupling Networks and Evaluation of Alternative Methods along the Modeling Path

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; COMPUTATION THEORY; LOCKS (FASTENERS); MAGNETIC RESONANCE IMAGING; NEURAL NETWORKS; NEURONS; TENSORS;

EID: 84988912067     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1005025     Document Type: Article
Times cited : (85)

References (101)
  • 1
    • 29444432367 scopus 로고    scopus 로고
    • Coherent spontaneous activity accounts for trial-to-trial variability in human evoked brain responses
    • 16341210,.; ():
    • Fox MD, Snyder AZ, Zacks JM, Raichle ME, Coherent spontaneous activity accounts for trial-to-trial variability in human evoked brain responses. Nature neuroscience. 2006;9(1):23–25. doi: 10.1038/nn161616341210
    • (2006) Nature neuroscience , vol.9 , Issue.1 , pp. 23-25
    • Fox, M.D.1    Snyder, A.Z.2    Zacks, J.M.3    Raichle, M.E.4
  • 2
    • 0029767876 scopus 로고    scopus 로고
    • Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses
    • 8791593,.; ():
    • Arieli A, Sterkin A, Grinvald A, Aertsen A, Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses. Science. 1996;273(5283):1868–1871. doi: 10.1126/science.273.5283.18688791593
    • (1996) Science , vol.273 , Issue.5283 , pp. 1868-1871
    • Arieli, A.1    Sterkin, A.2    Grinvald, A.3    Aertsen, A.4
  • 3
    • 0027328657 scopus 로고
    • A novel slow (<1 Hz) oscillation of neocortical neurons in vivo: depolarizing and hyperpolarizing components
    • 8340806,.; ():
    • Steriade M, Nunez A, Amzica F, A novel slow (<1 Hz) oscillation of neocortical neurons in vivo: depolarizing and hyperpolarizing components. The Journal of Neuroscience. 1993;13(8):3252–3265. 8340806
    • (1993) The Journal of Neuroscience , vol.13 , Issue.8 , pp. 3252-3265
    • Steriade, M.1    Nunez, A.2    Amzica, F.3
  • 4
    • 0030571575 scopus 로고    scopus 로고
    • State-dependent fluctuations of low-frequency rhythms in corticothalamic networks
    • Contreras D, Steriade M, State-dependent fluctuations of low-frequency rhythms in corticothalamic networks. Neuroscience. 1996;76(1):25–38. doi: 10.1016/S0306-4522(96)00392-2
    • (1996) Neuroscience , vol.76 , Issue.1 , pp. 25-38
    • Contreras, D.1    Steriade, M.2
  • 5
    • 0033151585 scopus 로고    scopus 로고
    • Spatiotemporal analysis of local field potentials and unit discharges in cat cerebral cortex during natural wake and sleep states
    • 10341257,.; ():
    • Destexhe A, Contreras D, Steriade M, Spatiotemporal analysis of local field potentials and unit discharges in cat cerebral cortex during natural wake and sleep states. The Journal of Neuroscience. 1999;19(11):4595–4608. 10341257
    • (1999) The Journal of Neuroscience , vol.19 , Issue.11 , pp. 4595-4608
    • Destexhe, A.1    Contreras, D.2    Steriade, M.3
  • 6
    • 0029166541 scopus 로고
    • Functional connectivity in the motor cortex of resting human brain using echo-planar MRI
    • 8524021,.; ():
    • Biswal B, Yetkin FZ, Haughton VM, Hyde JS, Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magnetic resonance in medicine. 1995;34(4):537–541. doi: 10.1002/mrm.19103404098524021
    • (1995) Magnetic resonance in medicine , vol.34 , Issue.4 , pp. 537-541
    • Biswal, B.1    Yetkin, F.Z.2    Haughton, V.M.3    Hyde, J.S.4
  • 8
    • 79955480798 scopus 로고    scopus 로고
    • Measuring functional connectivity using MEG: methodology and comparison with fcMRI
    • 21352925,..; ():
    • Brookes MJ, Hale JR, Zumer JM, Stevenson CM, Francis ST, Barnes GR, et al. Measuring functional connectivity using MEG: methodology and comparison with fcMRI. Neuroimage. 2011;56(3):1082–1104. doi: 10.1016/j.neuroimage.2011.02.05421352925
    • (2011) Neuroimage , vol.56 , Issue.3 , pp. 1082-1104
    • Brookes, M.J.1    Hale, J.R.2    Zumer, J.M.3    Stevenson, C.M.4    Francis, S.T.5    Barnes, G.R.6
  • 9
    • 84861574104 scopus 로고    scopus 로고
    • Large-scale cortical correlation structure of spontaneous oscillatory activity
    • 22561454,.; ():
    • Hipp JF, Hawellek DJ, Corbetta M, Siegel M, Engel AK, Large-scale cortical correlation structure of spontaneous oscillatory activity. Nature neuroscience. 2012;15(6):884–890. doi: 10.1038/nn.310122561454
    • (2012) Nature neuroscience , vol.15 , Issue.6 , pp. 884-890
    • Hipp, J.F.1    Hawellek, D.J.2    Corbetta, M.3    Siegel, M.4    Engel, A.K.5
  • 10
    • 84888022527 scopus 로고    scopus 로고
    • Intrinsic coupling modes: multiscale interactions in ongoing brain activity
    • 24267648,.; ():
    • Engel AK, Gerloff C, Hilgetag CC, Nolte G, Intrinsic coupling modes: multiscale interactions in ongoing brain activity. Neuron. 2013;80(4):867–886. doi: 10.1016/j.neuron.2013.09.03824267648
    • (2013) Neuron , vol.80 , Issue.4 , pp. 867-886
    • Engel, A.K.1    Gerloff, C.2    Hilgetag, C.C.3    Nolte, G.4
  • 12
    • 57749172272 scopus 로고    scopus 로고
    • Resting-state functional connectivity reflects structural connectivity in the default mode network
    • 18403396,.; ():
    • Greicius MD, Supekar K, Menon V, Dougherty RF, Resting-state functional connectivity reflects structural connectivity in the default mode network. Cerebral cortex. 2009;19(1):72–78. doi: 10.1093/cercor/bhn05918403396
    • (2009) Cerebral cortex , vol.19 , Issue.1 , pp. 72-78
    • Greicius, M.D.1    Supekar, K.2    Menon, V.3    Dougherty, R.F.4
  • 14
    • 54149112120 scopus 로고    scopus 로고
    • Measuring brain connectivity: diffusion tensor imaging validates resting state temporal correlations
    • 18771736,.; ():
    • Skudlarski P, Jagannathan K, Calhoun VD, Hampson M, Skudlarska BA, Pearlson G, Measuring brain connectivity: diffusion tensor imaging validates resting state temporal correlations. Neuroimage. 2008;43(3):554–561. doi: 10.1016/j.neuroimage.2008.07.06318771736
    • (2008) Neuroimage , vol.43 , Issue.3 , pp. 554-561
    • Skudlarski, P.1    Jagannathan, K.2    Calhoun, V.D.3    Hampson, M.4    Skudlarska, B.A.5    Pearlson, G.6
  • 16
    • 48349097292 scopus 로고    scopus 로고
    • Mapping the structural core of human cerebral cortex
    • 18597554,..; ():.
    • Hagmann P, Cammoun L, Gigandet X, Meuli R, Honey CJ, Wedeen VJ, et al. Mapping the structural core of human cerebral cortex. PLoS Biol. 2008;6(7):e159. doi: 10.1371/journal.pbio.006015918597554
    • (2008) PLoS Biol , vol.6 , Issue.7 , pp. e159
    • Hagmann, P.1    Cammoun, L.2    Gigandet, X.3    Meuli, R.4    Honey, C.J.5    Wedeen, V.J.6
  • 18
    • 84920151533 scopus 로고    scopus 로고
    • EEG functional connectivity is partially predicted by underlying white matter connectivity
    • 25534110,..;:
    • Chu C, Tanaka N, Diaz J, Edlow B, Wu O, Hämäläinen M, et al. EEG functional connectivity is partially predicted by underlying white matter connectivity. Neuroimage. 2015;108:23–33. doi: 10.1016/j.neuroimage.2014.12.03325534110
    • (2015) Neuroimage , vol.108 , pp. 23-33
    • Chu, C.1    Tanaka, N.2    Diaz, J.3    Edlow, B.4    Wu, O.5    Hämäläinen, M.6
  • 19
    • 34247578209 scopus 로고    scopus 로고
    • Intrinsic functional architecture in the anaesthetized monkey brain
    • 17476267,..; ():
    • Vincent J, Patel G, Fox M, Snyder A, Baker J, Van Essen D, et al. Intrinsic functional architecture in the anaesthetized monkey brain. Nature. 2007;447(7140):83–86. doi: 10.1038/nature0575817476267
    • (2007) Nature , vol.447 , Issue.7140 , pp. 83-86
    • Vincent, J.1    Patel, G.2    Fox, M.3    Snyder, A.4    Baker, J.5    Van Essen, D.6
  • 21
    • 84896715198 scopus 로고    scopus 로고
    • Exploring mechanisms of spontaneous functional connectivity in MEG: how delayed network interactions lead to structured amplitude envelopes of band-pass filtered oscillations
    • 24321555,..;:
    • Cabral J, Luckhoo H, Woolrich M, Joensson M, Mohseni H, Baker A, et al. Exploring mechanisms of spontaneous functional connectivity in MEG: how delayed network interactions lead to structured amplitude envelopes of band-pass filtered oscillations. Neuroimage. 2014;90:423–435. doi: 10.1016/j.neuroimage.2013.11.04724321555
    • (2014) Neuroimage , vol.90 , pp. 423-435
    • Cabral, J.1    Luckhoo, H.2    Woolrich, M.3    Joensson, M.4    Mohseni, H.5    Baker, A.6
  • 22
    • 79956204167 scopus 로고    scopus 로고
    • Role of local network oscillations in resting-state functional connectivity
    • 21511044,.; ():
    • Cabral J, Hugues E, Sporns O, Deco G, Role of local network oscillations in resting-state functional connectivity. Neuroimage. 2011;57(1):130–139. doi: 10.1016/j.neuroimage.2011.04.01021511044
    • (2011) Neuroimage , vol.57 , Issue.1 , pp. 130-139
    • Cabral, J.1    Hugues, E.2    Sporns, O.3    Deco, G.4
  • 24
    • 84897460560 scopus 로고    scopus 로고
    • Relating structure and function in the human brain: relative contributions of anatomy, stationary dynamics, and non-stationarities
    • 24651524,.; ():.
    • Messé A, Rudrauf D, Benali H, Marrelec G, Relating structure and function in the human brain: relative contributions of anatomy, stationary dynamics, and non-stationarities. PLoS computational biology. 2014;10(3):e1003530. doi: 10.1371/journal.pcbi.100353024651524
    • (2014) PLoS computational biology , vol.10 , Issue.3 , pp. e1003530
    • Messé, A.1    Rudrauf, D.2    Benali, H.3    Marrelec, G.4
  • 25
    • 84920166877 scopus 로고    scopus 로고
    • Relating structural and functional connectivity in MRI: A simple model for a complex brain
    • Messe A, Benali H, Marrelec G, Relating structural and functional connectivity in MRI: A simple model for a complex brain. Medical Imaging, IEEE Transactions on. 2015;34(1):27–37. doi: 10.1109/TMI.2014.2341732
    • (2015) Medical Imaging, IEEE Transactions on , vol.34 , Issue.1 , pp. 27-37
    • Messe, A.1    Benali, H.2    Marrelec, G.3
  • 26
    • 84923109639 scopus 로고    scopus 로고
    • Predicting functional connectivity from structural connectivity via computational models using MRI: an extensive comparison study
    • 25682944,.;:
    • Messé A, Rudrauf D, Giron A, Marrelec G, Predicting functional connectivity from structural connectivity via computational models using MRI: an extensive comparison study. NeuroImage. 2015;111:65–75. doi: 10.1016/j.neuroimage.2015.02.00125682944
    • (2015) NeuroImage , vol.111 , pp. 65-75
    • Messé, A.1    Rudrauf, D.2    Giron, A.3    Marrelec, G.4
  • 27
    • 0037422586 scopus 로고    scopus 로고
    • Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
    • Greicius MD, Krasnow B, Reiss AL, Menon V, Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proceedings of the National Academy of Sciences. 2003;100(1):253–258. doi: 10.1073/pnas.0135058100
    • (2003) Proceedings of the National Academy of Sciences , vol.100 , Issue.1 , pp. 253-258
    • Greicius, M.D.1    Krasnow, B.2    Reiss, A.L.3    Menon, V.4
  • 29
    • 0032830151 scopus 로고    scopus 로고
    • Neuronal synchrony: a versatile code for the definition of relations?
    • 10677026,.; ():
    • Singer W, Neuronal synchrony: a versatile code for the definition of relations?Neuron. 1999;24(1):49–65. doi: 10.1016/S0896-6273(00)80821-110677026
    • (1999) Neuron , vol.24 , Issue.1 , pp. 49-65
    • Singer, W.1
  • 30
    • 67650264268 scopus 로고    scopus 로고
    • Neuronal gamma-band synchronization as a fundamental process in cortical computation
    • 19400723,.;:
    • Fries P, Neuronal gamma-band synchronization as a fundamental process in cortical computation. Annual review of neuroscience. 2009;32:209–224. doi: 10.1146/annurev.neuro.051508.13560319400723
    • (2009) Annual review of neuroscience , vol.32 , pp. 209-224
    • Fries, P.1
  • 31
    • 77952549826 scopus 로고    scopus 로고
    • Beta-band oscillations—signalling the status quo?
    • 20359884,.; ():
    • Engel AK, Fries P, Beta-band oscillations—signalling the status quo?Current opinion in neurobiology. 2010;20(2):156–165. doi: 10.1016/j.conb.2010.02.01520359884
    • (2010) Current opinion in neurobiology , vol.20 , Issue.2 , pp. 156-165
    • Engel, A.K.1    Fries, P.2
  • 32
    • 84856028099 scopus 로고    scopus 로고
    • Spectral fingerprints of large-scale neuronal interactions
    • 22233726,.; ():
    • Siegel M, Donner TH, Engel AK, Spectral fingerprints of large-scale neuronal interactions. Nature Reviews Neuroscience. 2012;13(2):121–134. 22233726
    • (2012) Nature Reviews Neuroscience , vol.13 , Issue.2 , pp. 121-134
    • Siegel, M.1    Donner, T.H.2    Engel, A.K.3
  • 33
    • 78751683833 scopus 로고    scopus 로고
    • Oscillatory synchronization in large-scale cortical networks predicts perception
    • 21262474,.; ():
    • Hipp JF, Engel AK, Siegel M, Oscillatory synchronization in large-scale cortical networks predicts perception. Neuron. 2011;69(2):387–396. doi: 10.1016/j.neuron.2010.12.02721262474
    • (2011) Neuron , vol.69 , Issue.2 , pp. 387-396
    • Hipp, J.F.1    Engel, A.K.2    Siegel, M.3
  • 34
    • 17744374627 scopus 로고    scopus 로고
    • Larger interregional synchrony is associated with greater behavioral success in a complex sensory integration task in humans
    • 15342429,.; ():
    • Hummel F, Gerloff C, Larger interregional synchrony is associated with greater behavioral success in a complex sensory integration task in humans. Cerebral Cortex. 2005;15(5):670–678. doi: 10.1093/cercor/bhh17015342429
    • (2005) Cerebral Cortex , vol.15 , Issue.5 , pp. 670-678
    • Hummel, F.1    Gerloff, C.2
  • 35
    • 78650339790 scopus 로고    scopus 로고
    • Emerging concepts for the dynamical organization of resting-state activity in the brain
    • 21170073,.; ():
    • Deco G, Jirsa VK, McIntosh AR, Emerging concepts for the dynamical organization of resting-state activity in the brain. Nature Reviews Neuroscience. 2011;12(1):43–56. doi: 10.1038/nrn296121170073
    • (2011) Nature Reviews Neuroscience , vol.12 , Issue.1 , pp. 43-56
    • Deco, G.1    Jirsa, V.K.2    McIntosh, A.R.3
  • 36
    • 0026342392 scopus 로고
    • Interhemispheric synchronization of oscillatory neuronal responses in cat visual cortex
    • 2031188,.; ():
    • Engel AK, König P, Kreiter AK, Singer W, Interhemispheric synchronization of oscillatory neuronal responses in cat visual cortex. Science. 1991;252(5009):1177–1179. doi: 10.1126/science.252.5009.11772031188
    • (1991) Science , vol.252 , Issue.5009 , pp. 1177-1179
    • Engel, A.K.1    König, P.2    Kreiter, A.K.3    Singer, W.4
  • 37
    • 60549103853 scopus 로고    scopus 로고
    • Complex brain networks: graph theoretical analysis of structural and functional systems
    • 19190637,.; ():
    • Bullmore E, Sporns O, Complex brain networks: graph theoretical analysis of structural and functional systems. Nature Reviews Neuroscience. 2009;10(3):186–198. doi: 10.1038/nrn257519190637
    • (2009) Nature Reviews Neuroscience , vol.10 , Issue.3 , pp. 186-198
    • Bullmore, E.1    Sporns, O.2
  • 38
    • 84861330561 scopus 로고    scopus 로고
    • Quantitative assessment of a framework for creating anatomical brain networks via global tractography
    • 22484406,.; ():
    • Li L, Rilling JK, Preuss TM, Glasser MF, Damen FW, Hu X, Quantitative assessment of a framework for creating anatomical brain networks via global tractography. NeuroImage. 2012;61(4):1017–1030. doi: 10.1016/j.neuroimage.2012.03.07122484406
    • (2012) NeuroImage , vol.61 , Issue.4 , pp. 1017-1030
    • Li, L.1    Rilling, J.K.2    Preuss, T.M.3    Glasser, M.F.4    Damen, F.W.5    Hu, X.6
  • 39
    • 44649165640 scopus 로고    scopus 로고
    • Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers
    • 18495497,..; ():
    • Wedeen VJ, Wang R, Schmahmann JD, Benner T, Tseng W, Dai G, et al. Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers. Neuroimage. 2008;41(4):1267–1277. doi: 10.1016/j.neuroimage.2008.03.03618495497
    • (2008) Neuroimage , vol.41 , Issue.4 , pp. 1267-1277
    • Wedeen, V.J.1    Wang, R.2    Schmahmann, J.D.3    Benner, T.4    Tseng, W.5    Dai, G.6
  • 40
    • 84863872639 scopus 로고    scopus 로고
    • The effects of connection reconstruction method on the interregional connectivity of brain networks via diffusion tractography
    • 21928316,.; ():
    • Li L, Rilling JK, Preuss TM, Glasser MF, Hu X, The effects of connection reconstruction method on the interregional connectivity of brain networks via diffusion tractography. Human brain mapping. 2012;33(8):1894–1913. doi: 10.1002/hbm.2133221928316
    • (2012) Human brain mapping , vol.33 , Issue.8 , pp. 1894-1913
    • Li, L.1    Rilling, J.K.2    Preuss, T.M.3    Glasser, M.F.4    Hu, X.5
  • 41
    • 85018936667 scopus 로고    scopus 로고
    • The virtual brain integrates computational modeling and multimodal neuroimaging
    • 23442172,.; ():
    • Ritter P, Schirner M, McIntosh AR, Jirsa VK, The virtual brain integrates computational modeling and multimodal neuroimaging. Brain connectivity. 2013;3(2):121–145. doi: 10.1089/brain.2012.012023442172
    • (2013) Brain connectivity , vol.3 , Issue.2 , pp. 121-145
    • Ritter, P.1    Schirner, M.2    McIntosh, A.R.3    Jirsa, V.K.4
  • 42
    • 77954534490 scopus 로고    scopus 로고
    • Connecting mean field models of neural activity to EEG and fMRI data
    • 20364434,.; ():
    • Bojak I, Oostendorp TF, Reid AT, Kötter R, Connecting mean field models of neural activity to EEG and fMRI data. Brain topography. 2010;23(2):139–149. doi: 10.1007/s10548-010-0140-320364434
    • (2010) Brain topography , vol.23 , Issue.2 , pp. 139-149
    • Bojak, I.1    Oostendorp, T.F.2    Reid, A.T.3    Kötter, R.4
  • 43
    • 34249997316 scopus 로고    scopus 로고
    • Phase lag index: Assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources
    • 17266107,.; ():
    • Stam CJ, Nolte G, Daffertshofer A, Phase lag index: Assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources. Human brain mapping. 2007;28(11):1178–1193. doi: 10.1002/hbm.2034617266107
    • (2007) Human brain mapping , vol.28 , Issue.11 , pp. 1178-1193
    • Stam, C.J.1    Nolte, G.2    Daffertshofer, A.3
  • 44
    • 33746932485 scopus 로고    scopus 로고
    • An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest
    • 16530430,..; ():
    • Desikan RS, Ségonne F, Fischl B, Quinn BT, Dickerson BC, Blacker D, et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage. 2006;31(3):968–980. doi: 10.1016/j.neuroimage.2006.01.02116530430
    • (2006) Neuroimage , vol.31 , Issue.3 , pp. 968-980
    • Desikan, R.S.1    Ségonne, F.2    Fischl, B.3    Quinn, B.T.4    Dickerson, B.C.5    Blacker, D.6
  • 45
    • 0035293854 scopus 로고    scopus 로고
    • Mechanisms to synchronize neuronal activity
    • 11252634,.; ():
    • Sturm AK, König P, Mechanisms to synchronize neuronal activity. Biological cybernetics. 2001;84(3):153–172. doi: 10.1007/s00422000020911252634
    • (2001) Biological cybernetics , vol.84 , Issue.3 , pp. 153-172
    • Sturm, A.K.1    König, P.2
  • 46
    • 84891294401 scopus 로고    scopus 로고
    • Altered intrahemispheric structural connectivity in Gilles de la Tourette syndrome
    • Cheng B, Braass H, Ganos C, Treszl A, Biermann-Ruben K, Hummel FC, et al. Altered intrahemispheric structural connectivity in Gilles de la Tourette syndrome. NeuroImage: Clinical. 2014;4:174–181. doi: 10.1016/j.nicl.2013.11.011
    • (2014) NeuroImage: Clinical , vol.4 , pp. 174-181
    • Cheng, B.1    Braass, H.2    Ganos, C.3    Treszl, A.4    Biermann-Ruben, K.5    Hummel, F.C.6
  • 47
    • 84896400750 scopus 로고    scopus 로고
    • Exploring the network dynamics underlying brain activity during rest
    • 24389385,.;:
    • Cabral J, Kringelbach ML, Deco G, Exploring the network dynamics underlying brain activity during rest. Progress in neurobiology. 2014;114:102–131. doi: 10.1016/j.pneurobio.2013.12.00524389385
    • (2014) Progress in neurobiology , vol.114 , pp. 102-131
    • Cabral, J.1    Kringelbach, M.L.2    Deco, G.3
  • 48
    • 79952644099 scopus 로고    scopus 로고
    • Generative models of cortical oscillations: neurobiological implications of the Kuramoto model
    • 21151358,.;.
    • Breakspear M, Heitmann S, Daffertshofer A, Generative models of cortical oscillations: neurobiological implications of the Kuramoto model. Frontiers in human neuroscience. 2010;4. doi: 10.3389/fnhum.2010.0019021151358
    • (2010) Frontiers in human neuroscience , vol.4
    • Breakspear, M.1    Heitmann, S.2    Daffertshofer, A.3
  • 49
    • 0028245445 scopus 로고
    • A measure for brain complexity: relating functional segregation and integration in the nervous system
    • Tononi G, Sporns O, Edelman GM, A measure for brain complexity: relating functional segregation and integration in the nervous system. Proceedings of the National Academy of Sciences. 1994;91(11):5033–5037. doi: 10.1073/pnas.91.11.5033
    • (1994) Proceedings of the National Academy of Sciences , vol.91 , Issue.11 , pp. 5033-5037
    • Tononi, G.1    Sporns, O.2    Edelman, G.M.3
  • 50
    • 84984552597 scopus 로고    scopus 로고
    • Localization of brain electrical activity via linearly constrained minimum variance spatial filtering
    • Van Veen BD, Van Drongelen W, Yuchtman M, Suzuki A, Localization of brain electrical activity via linearly constrained minimum variance spatial filtering. Biomedical Engineering, IEEE Transactions on. 1997;44(9):867–880. doi: 10.1109/10.623056
    • (1997) Biomedical Engineering, IEEE Transactions on , vol.44 , Issue.9 , pp. 867-880
    • Van Veen, B.D.1    Van Drongelen, W.2    Yuchtman, M.3    Suzuki, A.4
  • 51
    • 84920126399 scopus 로고    scopus 로고
    • Role of white-matter pathways in coordinating alpha oscillations in resting visual cortex
    • 25449741,..;:
    • Hindriks R, Woolrich M, Luckhoo H, Joensson M, Mohseni H, Kringelbach M, et al. Role of white-matter pathways in coordinating alpha oscillations in resting visual cortex. NeuroImage. 2015;106:328–339. doi: 10.1016/j.neuroimage.2014.10.05725449741
    • (2015) NeuroImage , vol.106 , pp. 328-339
    • Hindriks, R.1    Woolrich, M.2    Luckhoo, H.3    Joensson, M.4    Mohseni, H.5    Kringelbach, M.6
  • 52
    • 79952707728 scopus 로고    scopus 로고
    • An improved index of phase-synchronization for electrophysiological data in the presence of volume-conduction, noise and sample-size bias
    • 21276857,.; ():
    • Vinck M, Oostenveld R, van Wingerden M, Battaglia F, Pennartz CM, An improved index of phase-synchronization for electrophysiological data in the presence of volume-conduction, noise and sample-size bias. Neuroimage. 2011;55(4):1548–1565. doi: 10.1016/j.neuroimage.2011.01.05521276857
    • (2011) Neuroimage , vol.55 , Issue.4 , pp. 1548-1565
    • Vinck, M.1    Oostenveld, R.2    van Wingerden, M.3    Battaglia, F.4    Pennartz, C.M.5
  • 53
    • 0028593624 scopus 로고
    • Calculation of event-related coherence—a new method to study short-lasting coupling between brain areas
    • 7696089,.; ():
    • Rappelsberger P, Pfurtscheller G, Filz O, Calculation of event-related coherence—a new method to study short-lasting coupling between brain areas. Brain topography. 1994;7(2):121–127. doi: 10.1007/BF011867707696089
    • (1994) Brain topography , vol.7 , Issue.2 , pp. 121-127
    • Rappelsberger, P.1    Pfurtscheller, G.2    Filz, O.3
  • 54
    • 0029867658 scopus 로고    scopus 로고
    • Event-related coherence as a tool for studying dynamic interaction of brain regions
    • 8598174,.; ():
    • Andrew C, Pfurtscheller G, Event-related coherence as a tool for studying dynamic interaction of brain regions. Electroencephalography and clinical neurophysiology. 1996;98(2):144–148. doi: 10.1016/0013-4694(95)00228-68598174
    • (1996) Electroencephalography and clinical neurophysiology , vol.98 , Issue.2 , pp. 144-148
    • Andrew, C.1    Pfurtscheller, G.2
  • 55
    • 33244467864 scopus 로고    scopus 로고
    • Multimodal imaging of brain reorganization in motor areas of the contralesional hemisphere of well recovered patients after capsular stroke
    • 16364955,..; ():
    • Gerloff C, Bushara K, Sailer A, Wassermann EM, Chen R, Matsuoka T, et al. Multimodal imaging of brain reorganization in motor areas of the contralesional hemisphere of well recovered patients after capsular stroke. Brain. 2006;129(3):791–808. doi: 10.1093/brain/awh71316364955
    • (2006) Brain , vol.129 , Issue.3 , pp. 791-808
    • Gerloff, C.1    Bushara, K.2    Sailer, A.3    Wassermann, E.M.4    Chen, R.5    Matsuoka, T.6
  • 57
    • 84894284150 scopus 로고    scopus 로고
    • Resting-state cortical connectivity predicts motor skill acquisition
    • 24473097,.;:
    • Wu J, Srinivasan R, Kaur A, Cramer SC, Resting-state cortical connectivity predicts motor skill acquisition. NeuroImage. 2014;91:84–90. doi: 10.1016/j.neuroimage.2014.01.02624473097
    • (2014) NeuroImage , vol.91 , pp. 84-90
    • Wu, J.1    Srinivasan, R.2    Kaur, A.3    Cramer, S.C.4
  • 58
    • 84883660251 scopus 로고    scopus 로고
    • Video game training enhances cognitive control in older adults
    • 24005416,..; ():
    • Anguera JA, Boccanfuso J, Rintoul JL, Al-Hashimi O, Faraji F, Janowich J, et al. Video game training enhances cognitive control in older adults. Nature. 2013;501(7465):97–101. doi: 10.1038/nature1248624005416
    • (2013) Nature , vol.501 , Issue.7465 , pp. 97-101
    • Anguera, J.A.1    Boccanfuso, J.2    Rintoul, J.L.3    Al-Hashimi, O.4    Faraji, F.5    Janowich, J.6
  • 59
  • 60
    • 84902362907 scopus 로고    scopus 로고
    • Tractography: where do we go from here?
    • 22433046,.; ():
    • Jbabdi S, Johansen-Berg H, Tractography: where do we go from here?Brain connectivity. 2011;1(3):169–183. doi: 10.1089/brain.2011.003322433046
    • (2011) Brain connectivity , vol.1 , Issue.3 , pp. 169-183
    • Jbabdi, S.1    Johansen-Berg, H.2
  • 61
    • 84859948255 scopus 로고    scopus 로고
    • The economy of brain network organization
    • 22498897,.; ():
    • Bullmore E, Sporns O, The economy of brain network organization. Nature Reviews Neuroscience. 2012;13(5):336–349. 22498897
    • (2012) Nature Reviews Neuroscience , vol.13 , Issue.5 , pp. 336-349
    • Bullmore, E.1    Sporns, O.2
  • 63
    • 77954385460 scopus 로고    scopus 로고
    • Complex network measures of brain connectivity: uses and interpretations
    • 19819337,.; ():
    • Rubinov M, Sporns O, Complex network measures of brain connectivity: uses and interpretations. Neuroimage. 2010;52(3):1059–1069. doi: 10.1016/j.neuroimage.2009.10.00319819337
    • (2010) Neuroimage , vol.52 , Issue.3 , pp. 1059-1069
    • Rubinov, M.1    Sporns, O.2
  • 65
    • 0032482432 scopus 로고    scopus 로고
    • Collective dynamics of ‘small-world’ networks
    • 9623998,.; ():
    • Watts DJ, Strogatz SH, Collective dynamics of ‘small-world’ networks. nature. 1998;393(6684):440–442. 9623998
    • (1998) nature , vol.393 , Issue.6684 , pp. 440-442
    • Watts, D.J.1    Strogatz, S.H.2
  • 66
    • 84861329768 scopus 로고    scopus 로고
    • Characteristics and variability of structural networks derived from diffusion tensor imaging
    • 22450298,..; ():
    • Cheng H, Wang Y, Sheng J, Kronenberger WG, Mathews VP, Hummer TA, et al. Characteristics and variability of structural networks derived from diffusion tensor imaging. Neuroimage. 2012;61(4):1153–1164. doi: 10.1016/j.neuroimage.2012.03.03622450298
    • (2012) Neuroimage , vol.61 , Issue.4 , pp. 1153-1164
    • Cheng, H.1    Wang, Y.2    Sheng, J.3    Kronenberger, W.G.4    Mathews, V.P.5    Hummer, T.A.6
  • 69
    • 84893374434 scopus 로고    scopus 로고
    • Phase synchrony facilitates binding and segmentation of natural images in a coupled neural oscillator network
    • 24478685,.; ().
    • Finger H, König P, Phase synchrony facilitates binding and segmentation of natural images in a coupled neural oscillator network. Frontiers in computational neuroscience. 2013;7(195). doi: 10.3389/fncom.2013.0019524478685
    • (2013) Frontiers in computational neuroscience , vol.7 , Issue.195
    • Finger, H.1    König, P.2
  • 70
    • 0000471845 scopus 로고    scopus 로고
    • Time delay in the Kuramoto model of coupled oscillators
    • Yeung MS, Strogatz SH, Time delay in the Kuramoto model of coupled oscillators. Physical Review Letters. 1999;82(3):648. doi: 10.1103/PhysRevLett.82.648
    • (1999) Physical Review Letters , vol.82 , Issue.3 , pp. 648
    • Yeung, M.S.1    Strogatz, S.H.2
  • 71
    • 0038204684 scopus 로고    scopus 로고
    • Brain symmetry and topographic analysis of lateralized event-related potentials
    • 12842715,.; ():
    • Oostenveld R, Stegeman DF, Praamstra P, van Oosterom A, Brain symmetry and topographic analysis of lateralized event-related potentials. Clinical neurophysiology. 2003;114(7):1194–1202. doi: 10.1016/S1388-2457(03)00059-212842715
    • (2003) Clinical neurophysiology , vol.114 , Issue.7 , pp. 1194-1202
    • Oostenveld, R.1    Stegeman, D.F.2    Praamstra, P.3    van Oosterom, A.4
  • 73
    • 84904039126 scopus 로고    scopus 로고
    • Conscious auditory perception related to long-range synchrony of gamma oscillations
    • 24945670,..;:
    • Steinmann S, Leicht G, Ertl M, Andreou C, Polomac N, Westerhausen R, et al. Conscious auditory perception related to long-range synchrony of gamma oscillations. NeuroImage. 2014;100:435–443. doi: 10.1016/j.neuroimage.2014.06.01224945670
    • (2014) NeuroImage , vol.100 , pp. 435-443
    • Steinmann, S.1    Leicht, G.2    Ertl, M.3    Andreou, C.4    Polomac, N.5    Westerhausen, R.6
  • 74
    • 84928747250 scopus 로고    scopus 로고
    • Cortical connectivity in fronto-temporal focal epilepsy from EEG analysis: A study via graph theory
    • 25449555,..; ():
    • Vecchio F, Miraglia F, Curcio G, Della Marca G, Vollono C, Mazzucchi E, et al. Cortical connectivity in fronto-temporal focal epilepsy from EEG analysis: A study via graph theory. Clinical Neurophysiology. 2015;126(6):1108–1116. doi: 10.1016/j.clinph.2014.09.01925449555
    • (2015) Clinical Neurophysiology , vol.126 , Issue.6 , pp. 1108-1116
    • Vecchio, F.1    Miraglia, F.2    Curcio, G.3    Della Marca, G.4    Vollono, C.5    Mazzucchi, E.6
  • 75
    • 0033711992 scopus 로고    scopus 로고
    • Dynamic statistical parametric mapping: combining fMRI and MEG for high-resolution imaging of cortical activity
    • 10798392,..; ():
    • Dale AM, Liu AK, Fischl BR, Buckner RL, Belliveau JW, Lewine JD, et al. Dynamic statistical parametric mapping: combining fMRI and MEG for high-resolution imaging of cortical activity. Neuron. 2000;26(1):55–67. doi: 10.1016/S0896-6273(00)81138-110798392
    • (2000) Neuron , vol.26 , Issue.1 , pp. 55-67
    • Dale, A.M.1    Liu, A.K.2    Fischl, B.R.3    Buckner, R.L.4    Belliveau, J.W.5    Lewine, J.D.6
  • 76
    • 0032757697 scopus 로고    scopus 로고
    • Measuring phase synchrony in brain signals
    • 10619414,..; ():
    • Lachaux JP, Rodriguez E, Martinerie J, Varela FJ, et al. Measuring phase synchrony in brain signals. Human brain mapping. 1999;8(4):194–208. doi: 10.1002/(SICI)1097-0193(1999)8:4%3C194::AID-HBM4%3E3.0.CO;2-C10619414
    • (1999) Human brain mapping , vol.8 , Issue.4 , pp. 194-208
    • Lachaux, J.P.1    Rodriguez, E.2    Martinerie, J.3    Varela, F.J.4
  • 77
    • 4444355027 scopus 로고    scopus 로고
    • Identifying true brain interaction from EEG data using the imaginary part of coherency
    • 15351371,.; ():
    • Nolte G, Bai O, Wheaton L, Mari Z, Vorbach S, Hallett M, Identifying true brain interaction from EEG data using the imaginary part of coherency. Clinical neurophysiology. 2004;115(10):2292–2307. doi: 10.1016/j.clinph.2004.04.02915351371
    • (2004) Clinical neurophysiology , vol.115 , Issue.10 , pp. 2292-2307
    • Nolte, G.1    Bai, O.2    Wheaton, L.3    Mari, Z.4    Vorbach, S.5    Hallett, M.6
  • 78
    • 78149291687 scopus 로고    scopus 로고
    • Instantaneous and lagged measurements of linear and nonlinear dependence between groups of multivariate time series: frequency decomposition
    • Pascual-Marqui RD, Instantaneous and lagged measurements of linear and nonlinear dependence between groups of multivariate time series: frequency decomposition. arXiv preprint arXiv:07111455. 2007;.
    • (2007) arXiv preprint arXiv:07111455
    • Pascual-Marqui, R.D.1
  • 79
    • 85027928026 scopus 로고    scopus 로고
    • Intra-cortical propagation of EEG alpha oscillations
    • 25168275,.;:
    • Hindriks R, van Putten MJ, Deco G, Intra-cortical propagation of EEG alpha oscillations. Neuroimage. 2014;103:444–453. doi: 10.1016/j.neuroimage.2014.08.02725168275
    • (2014) Neuroimage , vol.103 , pp. 444-453
    • Hindriks, R.1    van Putten, M.J.2    Deco, G.3
  • 80
    • 77953293997 scopus 로고    scopus 로고
    • Development of functional and structural connectivity within the default mode network in young children
    • 20385244,.; ():
    • Supekar K, Uddin LQ, Prater K, Amin H, Greicius MD, Menon V, Development of functional and structural connectivity within the default mode network in young children. Neuroimage. 2010;52(1):290–301. doi: 10.1016/j.neuroimage.2010.04.00920385244
    • (2010) Neuroimage , vol.52 , Issue.1 , pp. 290-301
    • Supekar, K.1    Uddin, L.Q.2    Prater, K.3    Amin, H.4    Greicius, M.D.5    Menon, V.6
  • 81
    • 77349095673 scopus 로고    scopus 로고
    • Whole-brain anatomical networks: does the choice of nodes matter?
    • 20035887,.; ():
    • Zalesky A, Fornito A, Harding IH, Cocchi L, Yücel M, Pantelis C, et al. Whole-brain anatomical networks: does the choice of nodes matter?Neuroimage. 2010;50(3):970–983. doi: 10.1016/j.neuroimage.2009.12.02720035887
    • (2010) Neuroimage , vol.50 , Issue.3 , pp. 970-983
    • Zalesky, A.1    Fornito, A.2    Harding, I.H.3    Cocchi, L.4    Yücel, M.5    Pantelis, C.6
  • 82
    • 84927697760 scopus 로고    scopus 로고
    • Convergence and divergence across construction methods for human brain white matter networks: An assessment based on individual differences
    • 25641208,.; ():
    • Zhong S, He Y, Gong G, Convergence and divergence across construction methods for human brain white matter networks: An assessment based on individual differences. Human brain mapping. 2015;36(5):1995–2013. doi: 10.1002/hbm.2275125641208
    • (2015) Human brain mapping , vol.36 , Issue.5 , pp. 1995-2013
    • Zhong, S.1    He, Y.2    Gong, G.3
  • 83
    • 81355153871 scopus 로고    scopus 로고
    • Functional network organization of the human brain
    • 22099467,..; ():
    • Power JD, Cohen AL, Nelson SM, Wig GS, Barnes KA, Church JA, et al. Functional network organization of the human brain. Neuron. 2011;72(4):665–678. doi: 10.1016/j.neuron.2011.09.00622099467
    • (2011) Neuron , vol.72 , Issue.4 , pp. 665-678
    • Power, J.D.1    Cohen, A.L.2    Nelson, S.M.3    Wig, G.S.4    Barnes, K.A.5    Church, J.A.6
  • 84
    • 84905484606 scopus 로고    scopus 로고
    • Structure-Function Discrepancy: Inhomogeneity and Delays in Synchronized Neural Networks
    • 25078715,.; ().
    • Ton R, Deco G, Daffertshofer A, Structure-Function Discrepancy: Inhomogeneity and Delays in Synchronized Neural Networks. PLoS Computational Biology. 2014;10(7). doi: 10.1371/journal.pcbi.100373625078715
    • (2014) PLoS Computational Biology , vol.10 , Issue.7
    • Ton, R.1    Deco, G.2    Daffertshofer, A.3
  • 85
    • 0033953083 scopus 로고    scopus 로고
    • Theoretical neuroanatomy: relating anatomical and functional connectivity in graphs and cortical connection matrices
    • 10667981,.; ():
    • Sporns O, Tononi G, Edelman GM, Theoretical neuroanatomy: relating anatomical and functional connectivity in graphs and cortical connection matrices. Cerebral Cortex. 2000;10(2):127–141. doi: 10.1093/cercor/10.2.12710667981
    • (2000) Cerebral Cortex , vol.10 , Issue.2 , pp. 127-141
    • Sporns, O.1    Tononi, G.2    Edelman, G.M.3
  • 86
    • 67549119293 scopus 로고    scopus 로고
    • Neural complexity and structural connectivity
    • Barnett L, Buckley CL, Bullock S, Neural complexity and structural connectivity. Physical Review E. 2009;79(5):051914. doi: 10.1103/PhysRevE.79.051914
    • (2009) Physical Review E , vol.79 , Issue.5 , pp. 051914
    • Barnett, L.1    Buckley, C.L.2    Bullock, S.3
  • 87
    • 84905855641 scopus 로고    scopus 로고
    • Frustrated hierarchical synchronization and emergent complexity in the human connectome network
    • Villegas P, Moretti P, Muñoz MA, Frustrated hierarchical synchronization and emergent complexity in the human connectome network. Scientific reports. 2014;4. doi: 10.1038/srep05990
    • (2014) Scientific reports , vol.4
    • Villegas, P.1    Moretti, P.2    Muñoz, M.A.3
  • 88
    • 84930226077 scopus 로고    scopus 로고
    • Physiologically motivated multiplex Kuramoto model describes phase diagram of cortical activity
    • 25996547,.;.
    • Sadilek M, Thurner S, Physiologically motivated multiplex Kuramoto model describes phase diagram of cortical activity. Scientific reports. 2015;5. doi: 10.1038/srep1001525996547
    • (2015) Scientific reports , vol.5
    • Sadilek, M.1    Thurner, S.2
  • 90
    • 84936749511 scopus 로고    scopus 로고
    • An automated pipeline for constructing personalized virtual brains from multimodal neuroimaging data
    • 25837600,.;.
    • Schirner M, Rothmeier S, Jirsa VK, McIntosh AR, Ritter P, An automated pipeline for constructing personalized virtual brains from multimodal neuroimaging data. NeuroImage. 2015;. doi: 10.1016/j.neuroimage.2015.03.05525837600
    • (2015) NeuroImage
    • Schirner, M.1    Rothmeier, S.2    Jirsa, V.K.3    McIntosh, A.R.4    Ritter, P.5
  • 91
    • 84894220514 scopus 로고    scopus 로고
    • Applying EEG phase synchronization measures to non-linearly coupled neural mass models
    • 24485868,.;:
    • Vindiola M, Vettel J, Gordon S, Franaszczuk P, McDowell K, Applying EEG phase synchronization measures to non-linearly coupled neural mass models. Journal of neuroscience methods. 2014;226:1–14. doi: 10.1016/j.jneumeth.2014.01.02524485868
    • (2014) Journal of neuroscience methods , vol.226 , pp. 1-14
    • Vindiola, M.1    Vettel, J.2    Gordon, S.3    Franaszczuk, P.4    McDowell, K.5
  • 92
    • 84859760284 scopus 로고    scopus 로고
    • Connectivity measures applied to human brain electrophysiological data
    • 22426415,.; ():
    • Greenblatt R, Pflieger M, Ossadtchi A, Connectivity measures applied to human brain electrophysiological data. Journal of neuroscience methods. 2012;207(1):1–16. doi: 10.1016/j.jneumeth.2012.02.02522426415
    • (2012) Journal of neuroscience methods , vol.207 , Issue.1 , pp. 1-16
    • Greenblatt, R.1    Pflieger, M.2    Ossadtchi, A.3
  • 93
    • 84155166861 scopus 로고    scopus 로고
    • Value of amplitude, phase, and coherence features for a sensorimotor rhythm-based brain–computer interface
    • 21985984,.; ():
    • Krusienski DJ, McFarland DJ, Wolpaw JR, Value of amplitude, phase, and coherence features for a sensorimotor rhythm-based brain–computer interface. Brain research bulletin. 2012;87(1):130–134. doi: 10.1016/j.brainresbull.2011.09.01921985984
    • (2012) Brain research bulletin , vol.87 , Issue.1 , pp. 130-134
    • Krusienski, D.J.1    McFarland, D.J.2    Wolpaw, J.R.3
  • 94
    • 84907890871 scopus 로고    scopus 로고
    • Quantification of the effects of volume conduction on the EEG/MEG connectivity estimates: an index of sensitivity to brain interactions
    • 25243864,.; ():.
    • Khadem A, Hossein-Zadeh GA, Quantification of the effects of volume conduction on the EEG/MEG connectivity estimates: an index of sensitivity to brain interactions. Physiological measurement. 2014;35(10):2149. doi: 10.1088/0967-3334/35/10/214925243864
    • (2014) Physiological measurement , vol.35 , Issue.10 , pp. 2149
    • Khadem, A.1    Hossein-Zadeh, G.A.2
  • 95
    • 84910045367 scopus 로고    scopus 로고
    • Phase Synchronization and Spectral Coherence Analysis of EEG Activity During Mental Fatigue
    • 1550059413503961.;p.
    • Zhang C, Yu X, Yang Y, Xu L, Phase Synchronization and Spectral Coherence Analysis of EEG Activity During Mental Fatigue. Clinical EEG and neuroscience. 2014;p. 1550059413503961.
    • (2014) Clinical EEG and neuroscience
    • Zhang, C.1    Yu, X.2    Yang, Y.3    Xu, L.4
  • 97
    • 0032212177 scopus 로고    scopus 로고
    • The volume conductor may act as a temporal filter on the ECG and EEG
    • 10367461,.; ():
    • Stinstra J, Peters M, The volume conductor may act as a temporal filter on the ECG and EEG. Medical and Biological Engineering and Computing. 1998;36(6):711–716. doi: 10.1007/BF0251887310367461
    • (1998) Medical and Biological Engineering and Computing , vol.36 , Issue.6 , pp. 711-716
    • Stinstra, J.1    Peters, M.2
  • 98
    • 0031022266 scopus 로고    scopus 로고
    • Visuomotor integration is associated with zero time-lag synchronization among cortical areas
    • 8990118,.;:
    • Roelfsema PR, Engel AK, König P, Singer W, Visuomotor integration is associated with zero time-lag synchronization among cortical areas. Nature. 1997;385:157–161. doi: 10.1038/385157a08990118
    • (1997) Nature , vol.385 , pp. 157-161
    • Roelfsema, P.R.1    Engel, A.K.2    König, P.3    Singer, W.4
  • 100
    • 69449100180 scopus 로고    scopus 로고
    • Long-range neural coupling through synchronization with attention
    • 19733748,.;:
    • Gregoriou GG, Gotts SJ, Zhou H, Desimone R, Long-range neural coupling through synchronization with attention. Progress in brain research. 2009;176:35–45. doi: 10.1016/S0079-6123(09)17603-319733748
    • (2009) Progress in brain research , vol.176 , pp. 35-45
    • Gregoriou, G.G.1    Gotts, S.J.2    Zhou, H.3    Desimone, R.4
  • 101
    • 66449122748 scopus 로고    scopus 로고
    • Source connectivity analysis with MEG and EEG
    • 19235884,.; ():
    • Schoffelen JM, Gross J, Source connectivity analysis with MEG and EEG. Human brain mapping. 2009;30(6):1857–1865. doi: 10.1002/hbm.2074519235884
    • (2009) Human brain mapping , vol.30 , Issue.6 , pp. 1857-1865
    • Schoffelen, J.M.1    Gross, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.