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Volumn 369, Issue 1653, 2014, Pages

Graph analysis of functional brain networks: Practical issues in translational neuroscience

Author keywords

Brain connectivity; Clinical neuroscience; Functional neuroimaging; Network theory

Indexed keywords

BRAIN; CONNECTIVITY; GRAPHICAL METHOD; IMAGING METHOD; NETWORK ANALYSIS; NEUROLOGY; SIGNAL;

EID: 84906861729     PISSN: 09628436     EISSN: 14712970     Source Type: Journal    
DOI: 10.1098/rstb.2013.0521     Document Type: Review
Times cited : (375)

References (190)
  • 1
    • 81355137473 scopus 로고    scopus 로고
    • Functional and effective connectivity: A review
    • doi:10.1089/brain.2011.0008)
    • Friston KJ. 2011 Functional and effective connectivity: a review. Brain Connect. 1, 13-36. (doi:10.1089/brain.2011.0008)
    • (2011) Brain Connect , vol.1 , pp. 13-36
    • Friston, K.J.1
  • 2
    • 78650991678 scopus 로고    scopus 로고
    • Clinical applications of resting state functional connectivity
    • doi:10.3389/fnsys.2010.00019)
    • Fox MD, Greicius M. 2010 Clinical applications of resting state functional connectivity. Front. Syst. Neurosci. 4, 19. (doi:10.3389/fnsys.2010.00019)
    • (2010) Front. Syst. Neurosci , vol.4 , pp. 19
    • Fox, M.D.1    Greicius, M.2
  • 4
    • 37849034945 scopus 로고    scopus 로고
    • Complexity in biology. Exceeding the limits of reductionism and determinism using complexity theory
    • doi:10. 1038/sj.embor.7401147)
    • Mazzocchi F. 2008 Complexity in biology. Exceeding the limits of reductionism and determinism using complexity theory. EMBO Rep. 9, 10-14. (doi:10. 1038/sj.embor.7401147)
    • (2008) EMBO Rep , vol.9 , pp. 10-14
    • Mazzocchi, F.1
  • 5
    • 0035318822 scopus 로고    scopus 로고
    • The brainweb: Phase synchronization and large-scale integration
    • doi:10.1038/35067550)
    • Varela F, Lachaux J-P, Rodriguez E, Martinerie J. 2001 The brainweb: phase synchronization and large-scale integration. Nat. Rev. Neurosci. 2, 229-239. (doi:10.1038/35067550)
    • (2001) Nat. Rev. Neurosci , vol.2 , pp. 229-239
    • Varela, F.1    Lachaux, J.-P.2    Rodriguez, E.3    Martinerie, J.4
  • 6
    • 84865296395 scopus 로고    scopus 로고
    • Why use a connectivity-based approach to study stroke and recovery of function
    • doi:10.1016/j.neuroimage.2012.02.070)
    • Carter AR, Shulman GL, Corbetta M. 2012 Why use a connectivity-based approach to study stroke and recovery of function? NeuroImage 62, 2271-2280.(doi:10.1016/j.neuroimage.2012.02.070)
    • (2012) NeuroImage , vol.62 , pp. 2271-2280
    • Carter, A.R.1    Shulman, G.L.2    Corbetta, M.3
  • 7
    • 33750466904 scopus 로고    scopus 로고
    • Small world brain networks
    • doi:10. 1177/1073858406293182)
    • Bassett DS, Bullmore ET. 2006 Small world brain networks. Neuroscientist 12, 512-523. (doi:10. 1177/1073858406293182)
    • (2006) Neuroscientist , vol.12 , pp. 512-523
    • Bassett, D.S.1    Bullmore, E.T.2
  • 8
    • 33847283332 scopus 로고    scopus 로고
    • Efficiency and cost of economical human brain functional networks
    • doi:10.1371/journal. pcbi.0030017)
    • Achard S, Bullmore E. 2007 Efficiency and cost of economical human brain functional networks. PLoS Comput. Biol. 3, 0174-0183. (doi:10.1371/journal. pcbi.0030017)
    • (2007) PLoS Comput. Biol , vol.3 , pp. 0174-0183
    • Achard, S.1    Bullmore, E.2
  • 9
    • 77954385460 scopus 로고    scopus 로고
    • Complex network measures of brain connectivity: Uses and interpretations
    • doi:10.1016/j.neuroimage.2009.10.003)
    • Rubinov M, Sporns O. 2010 Complex network measures of brain connectivity: uses and interpretations. NeuroImage 52, 1059-1069. (doi:10.1016/j.neuroimage.2009.10.003)
    • (2010) NeuroImage , vol.52 , pp. 1059-1069
    • Rubinov, M.1    Sporns, O.2
  • 10
    • 84880332133 scopus 로고    scopus 로고
    • Graph analysis of the human connectome: Promise, progress, and pitfalls
    • doi:10.1016/j.neuroimage.2013.04.087)
    • Fornito A, Zalesky A, Breakspear M. 2013 Graph analysis of the human connectome: promise, progress, and pitfalls. NeuroImage 80, 426-444. (doi:10.1016/j.neuroimage.2013.04.087)
    • (2013) NeuroImage , vol.80 , pp. 426-444
    • Fornito, A.1    Zalesky, A.2    Breakspear, M.3
  • 11
    • 84861459104 scopus 로고    scopus 로고
    • The organization of physiological brain networks
    • doi:10.1016/j.clinph.2012.01. 011)
    • Stam CJ, van Straaten ECW. 2012 The organization of physiological brain networks. Clin. Neurophysiol. 123, 1067-1087. (doi:10.1016/j.clinph.2012.01. 011)
    • (2012) Clin. Neurophysiol , vol.123 , pp. 1067-1087
    • Stam, C.J.1    van Straaten, E.C.W.2
  • 12
    • 77957324650 scopus 로고    scopus 로고
    • Networkbased statistic: Identifying differences in brain networks
    • doi:10. 1016/j.neuroimage.2010.06.041)
    • Zalesky A, Fornito A, Bullmore ET. 2010 Networkbased statistic: identifying differences in brain networks. NeuroImage 53, 1197-1207. (doi:10. 1016/j.neuroimage.2010.06.041)
    • (2010) NeuroImage , vol.53 , pp. 1197-1207
    • Zalesky, A.1    Fornito, A.2    Bullmore, E.T.3
  • 13
    • 77954623552 scopus 로고    scopus 로고
    • Graph theoretical modeling of brain connectivity
    • doi:10.1097/WCO.0b013e32833aa567)
    • He Y, Evans A. 2010 Graph theoretical modeling of brain connectivity. Curr. Opin. Neurol. 23, 341-350. (doi:10.1097/WCO.0b013e32833aa567)
    • (2010) Curr. Opin. Neurol , vol.23 , pp. 341-350
    • He, Y.1    Evans, A.2
  • 14
    • 31344474880 scopus 로고    scopus 로고
    • Complex networks: Structure and dynamics
    • doi:10.1016/j.physrep. 2005.10.009)
    • Boccaletti S, Latora V, Moreno Y, Chavez M, Hwang D. 2006 Complex networks: structure and dynamics. Phys. Rep. 424, 175-308. (doi:10.1016/j.physrep. 2005.10.009)
    • (2006) Phys. Rep , vol.424 , pp. 175-308
    • Boccaletti, S.1    Latora, V.2    Moreno, Y.3    Chavez, M.4    Hwang, D.5
  • 16
    • 0037422586 scopus 로고    scopus 로고
    • Functional connectivity in the resting brain: A network analysis of the default mode hypothesis
    • USA, doi:10. 1073/pnas.0135058100)
    • Greicius MD, Krasnow B, Reiss AL, Menon V. 2003 Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc. Natl Acad. Sci. USA 100, 253-258. (doi:10. 1073/pnas.0135058100)
    • (2003) Proc. Natl Acad. Sci , vol.100 , pp. 253-258
    • Greicius, M.D.1    Krasnow, B.2    Reiss, A.L.3    Menon, V.4
  • 17
    • 60549103853 scopus 로고    scopus 로고
    • Complex brain networks: Graph theoretical analysis of structural and functional systems
    • doi:10.1038/nrn2575)
    • Bullmore E, Sporns O. 2009 Complex brain networks: graph theoretical analysis of structural and functional systems. Nat. Rev. Neurosci. 10, 186-198. (doi:10.1038/nrn2575)
    • (2009) Nat. Rev. Neurosci , vol.10 , pp. 186-198
    • Bullmore, E.1    Sporns, O.2
  • 18
    • 84880330701 scopus 로고    scopus 로고
    • The parcellation-based connectome: Limitations and extensions
    • doi:10. 1016/j.neuroimage.2013.03.053)
    • de Reus MA, van den Heuvel MP. 2013 The parcellation-based connectome: limitations and extensions. NeuroImage 80, 397-404. (doi:10. 1016/j.neuroimage.2013.03.053)
    • (2013) NeuroImage , vol.80 , pp. 397-404
    • de Reus, M.A.1    van den Heuvel, M.P.2
  • 21
    • 0036067365 scopus 로고    scopus 로고
    • Functional connectivity by cross-correlation clustering
    • doi:10. 1016/S0925-2312(02)00416-2)
    • Dodel S, Herrmann J, Geisel T. 2002 Functional connectivity by cross-correlation clustering. Neurocomputing 44-46, 1065-1070. (doi:10. 1016/S0925-2312(02)00416-2)
    • (2002) Neurocomputing , vol.44-46 , pp. 1065-1070
    • Dodel, S.1    Herrmann, J.2    Geisel, T.3
  • 23
    • 77952317463 scopus 로고    scopus 로고
    • Comparison of characteristics between region- and voxel-based network analyses in resting-state fMRI data
    • doi:10.1016/j. neuroimage.2009.12.051)
    • Hayasaka S, Laurienti PJ. 2010 Comparison of characteristics between region- and voxel-based network analyses in resting-state fMRI data. NeuroImage 50, 499-508. (doi:10.1016/j. neuroimage.2009.12.051)
    • (2010) NeuroImage , vol.50 , pp. 499-508
    • Hayasaka, S.1    Laurienti, P.J.2
  • 24
    • 54149095921 scopus 로고    scopus 로고
    • Small-world and scale-free organization of voxelbased resting-state functional connectivity in the human brain
    • doi:10.1016/ j.neuroimage.2008.08.010
    • van den Heuvel M, Stam C, Boersma M, Hulshoff Pol H. 2008 Small-world and scale-free organization of voxelbased resting-state functional connectivity in the human brain. NeuroImage 43, 528-539. (doi:10.1016/ j.neuroimage.2008.08.010)
    • (2008) NeuroImage , vol.43 , pp. 528-539
    • van den Heuvel, M.1    Stam, C.2    Boersma, M.3    Hulshoff Pol, H.4
  • 25
    • 18144431880 scopus 로고    scopus 로고
    • Neurophysiological architecture of functional magnetic resonance images of human brain
    • doi:10.1093/cercor/bhi016)
    • Salvador R, Suckling J, Coleman MR, Pickard JD, Menon D, Bullmore E. 2005 Neurophysiological architecture of functional magnetic resonance images of human brain. Cereb. Cortex 15, 1332-1342. (doi:10.1093/cercor/bhi016)
    • (2005) Cereb. Cortex , vol.15 , pp. 1332-1342
    • Salvador, R.1    Suckling, J.2    Coleman, M.R.3    Pickard, J.D.4    Menon, D.5    Bullmore, E.6
  • 26
    • 77349095673 scopus 로고    scopus 로고
    • Whole-brain anatomical networks: Does the choice of nodes matter?
    • doi:10.1016/j. neuroimage.2009.12.027)
    • Zalesky A, Fornito A, Harding IH, Cocchi L, Yuücel M, Pantelis C, Bullmore ET. 2010 Whole-brain anatomical networks: does the choice of nodes matter? NeuroImage 50, 970-983. (doi:10.1016/j. neuroimage.2009.12.027)
    • (2010) NeuroImage , vol.50 , pp. 970-983
    • Zalesky, A.1    Fornito, A.2    Harding, I.H.3    Cocchi, L.4    Yuücel, M.5    Pantelis, C.6    Bullmore, E.T.7
  • 27
    • 77956056339 scopus 로고    scopus 로고
    • Estimating complexcortical networks via surface recordings: A critical note
    • doi:10.1016/j. neuroimage.2010.06.018)
    • Antiqueira L, Rodrigues FA, van Wijk BCM, Costa LDF, Daffertshofer A. 2010 Estimating complexcortical networks via surface recordings: a critical note. NeuroImage 53, 439-449 (doi:10.1016/j. neuroimage.2010.06.018)
    • (2010) NeuroImage , vol.53 , pp. 439-449
    • Antiqueira, L.1    Rodrigues, F.A.2    van Wijk, B.C.M.3    Costa, L.D.F.4    Daffertshofer, A.5
  • 28
    • 84994010446 scopus 로고    scopus 로고
    • Integrating temporal and spatial scales: Human structural network motifs across age and region of interest size
    • doi:10.3389/fninf.2011.00010)
    • Echtermeyer C, Han CE, Rotarska-Jagiela A, Mohr H, Uhlhaas PJ, Kaiser M. 2011 Integrating temporal and spatial scales: human structural network motifs across age and region of interest size. Front. Neuroinform. 5, 10. (doi:10.3389/fninf.2011.00010)
    • (2011) Front. Neuroinform , vol.5 , pp. 10
    • Echtermeyer, C.1    Han, C.E.2    Rotarska-Jagiela, A.3    Mohr, H.4    Uhlhaas, P.J.5    Kaiser, M.6
  • 30
    • 40849100053 scopus 로고    scopus 로고
    • Automatic segmentation of brain MRIs of 2-yearolds into 83 regions of interest
    • doi:10.1016/j.neuroimage.2007.11.034)
    • Gousias IS, Rueckert D, Heckemann RA, Dyet LE, Boardman J.P, Edwards AD, Hammers A. 2008 Automatic segmentation of brain MRIs of 2-yearolds into 83 regions of interest. NeuroImage 40, 672-684. (doi:10.1016/j.neuroimage.2007.11.034)
    • (2008) NeuroImage , vol.40 , pp. 672-684
    • Gousias, I.S.1    Rueckert, D.2    Heckemann, R.A.3    Dyet, L.E.4    Edwards, A.D.5    Hammers, A.6
  • 31
    • 38749089029 scopus 로고    scopus 로고
    • A method for functional network connectivity among spatially independent resting-state components in schizophrenia
    • doi:10. 1016/j.neuroimage.2007.11.001)
    • Jafri MJ, Pearlson GD, Stevens M, Calhoun VD. 2008 A method for functional network connectivity among spatially independent resting-state components in schizophrenia. NeuroImage 39, 1666-1681. (doi:10. 1016/j.neuroimage.2007.11.001)
    • (2008) NeuroImage , vol.39 , pp. 1666-1681
    • Jafri, M.J.1    Pearlson, G.D.2    Stevens, M.3    Calhoun, V.D.4
  • 32
    • 33846065979 scopus 로고    scopus 로고
    • CORSICA: Correction of structured noise in fMRI by automatic identification of ICA components
    • doi:10.1016/j.mri.2006.09.042)
    • Perlbarg V, Bellec P, Anton J-L, Peéleégrini-Issac M, Doyon J, Benali H. 2007 CORSICA: correction of structured noise in fMRI by automatic identification of ICA components. Magn. Reson. Imaging 25, 35-46. (doi:10.1016/j.mri.2006.09.042)
    • (2007) Magn. Reson. Imaging , vol.25 , pp. 35-46
    • Perlbarg, V.1    Bellec, P.2    Anton, J.-L.3    Peéleégrini-Issac, M.4    Doyon, J.5    Benali, H.6
  • 33
    • 37849019238 scopus 로고    scopus 로고
    • Automatic independent component labeling for artifact removal in fMRI
    • doi:10.1016/j. neuroimage.2007.10.013)
    • Tohka J, Foerde K, Aron AR, Tom SM, Toga AW, Poldrack RA. 2008 Automatic independent component labeling for artifact removal in fMRI. Neuroimage 39, 1227-1245. (doi:10.1016/j. neuroimage.2007.10.013)
    • (2008) Neuroimage , vol.39 , pp. 1227-1245
    • Tohka, J.1    Foerde, K.2    Aron, A.R.3    Tom, S.M.4    Toga, A.W.5    Poldrack, R.A.6
  • 35
    • 71849111554 scopus 로고    scopus 로고
    • Functional segmentation of the brain cortex using high model order group PICa
    • doi:10.1002/ hbm.20813)
    • Kiviniemi V et al. 2009 Functional segmentation of the brain cortex using high model order group PICa. Hum. Brain Mapp. 30, 3865-3886. (doi:10.1002/ hbm.20813)
    • (2009) Hum. Brain Mapp , vol.30 , pp. 3865-3886
    • Kiviniemi, V.1
  • 36
    • 84862797445 scopus 로고    scopus 로고
    • Task-driven ICA feature generation for accurate and interpretable prediction using fMRI
    • doi:10.1016/j.neuroimage.2011.12.053)
    • Duff EP, Trachtenberg AJ, Mackay CE, Howard MA, Wilson F, Smith SM, Woolrich MW. 2012 Task-driven ICA feature generation for accurate and interpretable prediction using fMRI. NeuroImage 60, 189-203. (doi:10.1016/j.neuroimage.2011.12.053)
    • (2012) NeuroImage , vol.60 , pp. 189-203
    • Duff, E.P.1    Trachtenberg, A.J.2    Mackay, C.E.3    Howard, M.A.4    Wilson, F.5    Smith, S.M.6    Woolrich, M.W.7
  • 37
    • 3042594840 scopus 로고    scopus 로고
    • Validating the independent components of neuroimaging time series via clustering and visualization
    • doi:10.1016/j.neuroimage.2004. 03.027)
    • Himberg J, Hyvaärinen A, Esposito F. 2004 Validating the independent components of neuroimaging time series via clustering and visualization. Neuroimage 22, 1214-1222. (doi:10.1016/j.neuroimage.2004. 03.027)
    • (2004) Neuroimage , vol.22 , pp. 1214-1222
    • Himberg, J.1    Hyvaärinen, A.2    Esposito, F.3
  • 38
    • 35148879706 scopus 로고    scopus 로고
    • Graph theoretical analysis of complex networks in the brain
    • doi:10.1186/1753-4631-1-3)
    • Stam CJ, Reijneveld JC. 2007 Graph theoretical analysis of complex networks in the brain. Nonlinear Biomed. Phys. 1, 3. (doi:10.1186/1753-4631-1-3)
    • (2007) Nonlinear Biomed. Phys , vol.1 , pp. 3
    • Stam, C.J.1    Reijneveld, J.C.2
  • 39
    • 68449088228 scopus 로고    scopus 로고
    • Human brain networks in health and disease
    • doi:10.1097/wco.0b013e32832 d93dd)
    • Bassett DS, Bullmore ET. 2009 Human brain networks in health and disease. Curr. Opin. Neurol. 22, 340-347. (doi:10.1097/wco.0b013e32832 d93dd)
    • (2009) Curr. Opin. Neurol , vol.22 , pp. 340-347
    • Bassett, D.S.1    Bullmore, E.T.2
  • 40
    • 0030694031 scopus 로고    scopus 로고
    • EEG coherency. i: Statistics, reference electrode, volume conduction, Laplacians, cortical imaging, and interpretation at multiple scales
    • doi:10.1016/ S0013-4694(97)00066-7)
    • Nunez PL, Srinivasan R, Westdorp AF, Wijesinghe RS, Tucker DM, Silberstein RB, Cadusch PJ. 1997 EEG coherency. i: statistics, reference electrode, volume conduction, Laplacians, cortical imaging, and interpretation at multiple scales. Electroencephalogr. Clin. Neurophysiol. 103, 499-515. (doi:10.1016/ S0013-4694(97)00066-7)
    • (1997) Electroencephalogr. Clin. Neurophysiol , vol.103 , pp. 499-515
    • Nunez, P.L.1    Srinivasan, R.2    Westdorp, A.F.3    Wijesinghe, R.S.4    Tucker, D.M.5    Silberstein, R.B.6    Cadusch, P.J.7
  • 41
    • 0034744420 scopus 로고    scopus 로고
    • Spatial filter approach for evaluation of the surface Laplacian of the electroencephalogram and magnetoencephalogram
    • doi:10.1114/1. 1352642)
    • Bradshaw LA, Wikswo JJP. 2001 Spatial filter approach for evaluation of the surface Laplacian of the electroencephalogram and magnetoencephalogram. Ann. Biomed. Eng. 29, 202-213. (doi:10.1114/1. 1352642)
    • (2001) Ann. Biomed. Eng , vol.29 , pp. 202-213
    • Bradshaw, L.A.1    Wikswo, J.J.P.2
  • 42
    • 4444355027 scopus 로고    scopus 로고
    • Identifying true brain interaction from EEG data using the imaginary part of coherency
    • doi:10.1016/j.clinph.2004.04.029)
    • Nolte G, Bai O, Wheaton L, Mari Z, Vorbach S, Hallett M. 2004 Identifying true brain interaction from EEG data using the imaginary part of coherency. Clin. Neurophysiol. 115, 2292-2307. (doi:10.1016/j.clinph.2004.04.029)
    • (2004) Clin. Neurophysiol , vol.115 , pp. 2292-2307
    • Nolte, G.1    Bai, O.2    Wheaton, L.3    Mari, Z.4    Vorbach, S.5    Hallett, M.6
  • 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
    • doi:10.1002/hbm.20346)
    • Stam CJ, Nolte G, Daffertshofer A. 2007 Phase lag index: assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources. Hum. Brain Mapp. 28, 1178-1193. (doi:10.1002/hbm.20346)
    • (2007) Hum. Brain Mapp , vol.28 , pp. 1178-1193
    • Stam, C.J.1    Nolte, G.2    Daffertshofer, A.3
  • 44
    • 0035505496 scopus 로고    scopus 로고
    • Electromagnetic brain mapping
    • doi:10.1109/79.962275)
    • Baillet S, Mosher J, Leahy R. 2001 Electromagnetic brain mapping. IEEE Signal Process. Mag. 18, 14-30.(doi:10.1109/79.962275)
    • (2001) IEEE Signal Process. Mag , vol.18 , pp. 14-30
    • Baillet, S.1    Mosher, J.2    Leahy, R.3
  • 45
    • 0037763683 scopus 로고    scopus 로고
    • Multimodal integration of high-resolution EEG and functional magnetic resonance imaging data: A simulation study
    • doi:10. 1016/S1053-8119(03)00052-1)
    • Babiloni F, Babiloni C, Carducci F, Romani GL, Rossini PM, Angelone LM, Cincotti F. 2003 Multimodal integration of high-resolution EEG and functional magnetic resonance imaging data: a simulation study. NeuroImage 19, 1-15. (doi:10. 1016/S1053-8119(03)00052-1)
    • (2003) NeuroImage , vol.19 , pp. 1-15
    • Babiloni, F.1    Babiloni, C.2    Carducci, F.3    Romani, G.L.4    Rossini, P.M.5    Angelone, L.M.6    Cincotti, F.7
  • 46
    • 66449122748 scopus 로고    scopus 로고
    • Source connectivity analysis with MEG and EEG
    • doi:10.1002/hbm.20745)
    • Schoffelen J-M, Gross J. 2009 Source connectivity analysis with MEG and EEG. Hum. Brain Mapp. 30, 1857-1865. (doi:10.1002/hbm.20745)
    • (2009) Hum. Brain Mapp , vol.30 , pp. 1857-1865
    • Schoffelen, J.-M.1    Gross, J.2
  • 47
    • 84861574104 scopus 로고    scopus 로고
    • Large-scale cortical correlation structure of spontaneous oscillatory activity
    • doi:10.1038/nn.3101)
    • Hipp JF, Hawellek DJ, Corbetta M, Siegel M, Engel AK. 2012 Large-scale cortical correlation structure of spontaneous oscillatory activity. Nat. Neurosci. 15, 884-890. (doi:10.1038/nn.3101)
    • (2012) Nat. Neurosci , vol.15 , pp. 884-890
    • Hipp, J.F.1    Hawellek, D.J.2    Corbetta, M.3    Siegel, M.4    Engel, A.K.5
  • 48
    • 0028912874 scopus 로고
    • Transcranial optical path length in infants by near-infrared phase-shift spectroscopy
    • doi:10.1007/BF01617732)
    • Benaron DA, Kurth CD, Steven JM, Delivoria-Papadopoulos M, Chance B. 1995 Transcranial optical path length in infants by near-infrared phase-shift spectroscopy. J. Clin. Monit. 11, 109-117. (doi:10.1007/BF01617732)
    • (1995) J. Clin. Monit , vol.11 , pp. 109-117
    • Benaron, D.A.1    Kurth, C.D.2    Steven, J.M.3    Delivoria-Papadopoulos, M.4    Chance, B.5
  • 49
    • 84889684403 scopus 로고    scopus 로고
    • A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology
    • doi:10.1016/ j.neuroimage.2013.05.004)
    • Scholkmann F, Kleiser S, Metz AJ, Zimmermann R, Mata Pavia J, Wolf U, Wolf M. 2014 A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology. NeuroImage 85, 6-27. (doi:10.1016/ j.neuroimage.2013.05.004)
    • (2014) NeuroImage , vol.85 , pp. 6-27
    • Scholkmann, F.1    Kleiser, S.2    Metz, A.J.3    Zimmermann, R.4    Mata Pavia, J.5    Wolf, U.6    Wolf, M.7
  • 50
    • 84889678947 scopus 로고    scopus 로고
    • Statistical analysis of fNIRS data: A comprehensive review
    • doi:10.1016/j.neuroimage.2013.06.016)
    • Tak S, Ye JC. 2014 Statistical analysis of fNIRS data: a comprehensive review. NeuroImage 85, 72-91. (doi:10.1016/j.neuroimage.2013.06.016)
    • (2014) NeuroImage , vol.85 , pp. 72-91
    • Tak, S.1    Ye, J.C.2
  • 51
    • 77952427372 scopus 로고    scopus 로고
    • Functional connectivity as revealed by independent component analysis of resting-state fNIRS measurements
    • doi:10.1016/j.neuroimage.2010.02.080)
    • Zhang H, Zhang Y-J, Lu C-M, Ma S-Y, Zang Y-F, Zhu C-Z. 2010 Functional connectivity as revealed by independent component analysis of resting-state fNIRS measurements. Neuroimage 51, 1150-1161. (doi:10.1016/j.neuroimage.2010.02.080)
    • (2010) Neuroimage , vol.51 , pp. 1150-1161
    • Zhang, H.1    Zhang, Y.-J.2    Lu, C.-M.3    Ma, S.-Y.4    Zang, Y.-F.5    Zhu, C.-Z.6
  • 52
    • 11844283268 scopus 로고    scopus 로고
    • Functional connectivity in the brain-is it an elusive concept?
    • doi:10.1016/j.neubiorev.2004.10.009)
    • Fingelkurts AA, Fingelkurts AA, KaähkoÖnen S. 2005 Functional connectivity in the brain-is it an elusive concept? Neurosci. Biobehav. Rev. 28, 827-836. (doi:10.1016/j.neubiorev.2004.10.009)
    • (2005) Neurosci. Biobehav. Rev , vol.28 , pp. 827-836
    • Fingelkurts, A.A.1    Fingelkurts, A.A.2    Kaähkoönen, S.3
  • 53
    • 82955248152 scopus 로고    scopus 로고
    • Review of advanced techniques for the estimation of brain connectivity measured with EEG/MEG
    • doi:10.1016/j.compbiomed.2011.06.020)
    • Sakkalis V. 2011 Review of advanced techniques for the estimation of brain connectivity measured with EEG/MEG. Comput. Biol. Med. 41, 1110-1117. (doi:10.1016/j.compbiomed.2011.06.020)
    • (2011) Comput. Biol. Med , vol.41 , pp. 1110-1117
    • Sakkalis, V.1
  • 54
    • 34548047531 scopus 로고    scopus 로고
    • Assessing functional connectivity in the human brain by fMRI
    • doi:10.1016/j.mri.2007.03.007)
    • Rogers BP, Morgan VL, Newton AT, Gore JC. 2007 Assessing functional connectivity in the human brain by fMRI. Magn. Reson. Imag. 25, 1347-1357. (doi:10.1016/j.mri.2007.03.007)
    • (2007) Magn. Reson. Imag , vol.25 , pp. 1347-1357
    • Rogers, B.P.1    Morgan, V.L.2    Newton, A.T.3    Gore, J.C.4
  • 55
    • 33748653805 scopus 로고    scopus 로고
    • Partial correlation for functional brain interactivity investigation in functional MRI
    • doi:10.1016/j.neuroimage.2005.12.057)
    • Marrelec G, Krainik A, Duffau H, Pélégrini-Issac M, Lehéricy S, Doyon J, Benali H. 2006 Partial correlation for functional brain interactivity investigation in functional MRI. NeuroImage 32, 228-237. (doi:10.1016/j.neuroimage.2005.12.057)
    • (2006) NeuroImage , vol.32 , pp. 228-237
    • Marrelec, G.1    Krainik, A.2    Duffau, H.3    Pélégrini-Issac, M.4    Lehéricy, S.5    Doyon, J.6    Benali, H.7
  • 56
    • 0023295449 scopus 로고
    • Coherence and time delay estimation
    • doi:10.1109/ PROC.1987.13723)
    • Carter GC. 1987 Coherence and time delay estimation. Proc. IEEE 75, 236-255. (doi:10.1109/ PROC.1987.13723)
    • (1987) Proc. IEEE , vol.75 , pp. 236-255
    • Carter, G.C.1
  • 57
    • 0035475704 scopus 로고    scopus 로고
    • Detecting direction of coupling in interacting oscillators
    • doi:10.1103/PhysRevE.64.045202)
    • Rosenblum MG, Pikovsky AS. 2001 Detecting direction of coupling in interacting oscillators. Phys. Rev. E Stat. Nonlinear Soft Matter Phys. 64, 045202. (doi:10.1103/PhysRevE.64.045202)
    • (2001) Phys. Rev. E Stat. Nonlinear Soft Matter Phys , vol.64 , pp. 045202
    • Rosenblum, M.G.1    Pikovsky, A.S.2
  • 58
    • 77956079564 scopus 로고    scopus 로고
    • Nonlinear connectivity by Granger causality
    • doi:10.1016/j. neuroimage.2010.01.099)
    • Marinazzo D, Liao W, Chen H, Stramaglia S. 2011 Nonlinear connectivity by Granger causality. NeuroImage 58, 330-338. (doi:10.1016/j. neuroimage.2010.01.099)
    • (2011) NeuroImage , vol.58 , pp. 330-338
    • Marinazzo, D.1    Liao, W.2    Chen, H.3    Stramaglia, S.4
  • 59
    • 44449088854 scopus 로고    scopus 로고
    • Partial Granger causality-eliminating exogenous inputs and latent variables
    • doi:10.1016/j.jneumeth.2008.04.011)
    • Guo S, Seth AK, Kendrick KM, Zhou C, Feng J. 2008 Partial Granger causality-eliminating exogenous inputs and latent variables. J. Neurosci. Methods 172, 79-93. (doi:10.1016/j.jneumeth.2008.04.011)
    • (2008) J. Neurosci. Methods , vol.172 , pp. 79-93
    • Guo, S.1    Seth, A.K.2    Kendrick, K.M.3    Zhou, C.4    Feng, J.5
  • 60
    • 0035377249 scopus 로고    scopus 로고
    • Partial directed coherence: A new concept in neural structure determination
    • (doi:10. 1007/PL00007990)
    • Baccalá LA, Sameshima K. 2001 Partial directed coherence: a new concept in neural structure determination. Biol. Cybern. 84, 463-474 (doi:10. 1007/PL00007990)
    • (2001) Biol. Cybern , vol.84 , pp. 463-474
    • Baccalá, L.A.1    Sameshima, K.2
  • 61
    • 0025987253 scopus 로고
    • A new method of the description of the information flow in the brain structures
    • (doi:10.1007/ BF00198091)
    • Kamiínski MJ, Blinowska KJ. 1991 A new method of the description of the information flow in the brain structures. Biol. Cybern. 65, 203-210.(doi:10.1007/ BF00198091)
    • (1991) Biol. Cybern , vol.65
    • Kamiínski, M.J.1    Blinowska, K.J.2
  • 62
    • 30744439313 scopus 로고    scopus 로고
    • A resilient, low-frequency, smallworld human brain functional network with highly connected association cortical hubs
    • doi:10.1523/JNEUROSCI.3874-05.2006)
    • Achard S, Salvador R, Whitcher B, Suckling J, Bullmore E. 2006 A resilient, low-frequency, smallworld human brain functional network with highly connected association cortical hubs. J. Neurosci. 26, 63-72. (doi:10.1523/JNEUROSCI.3874-05.2006)
    • (2006) J. Neurosci , vol.26 , pp. 63-72
    • Achard, S.1    Salvador, R.2    Whitcher, B.3    Suckling, J.4    Bullmore, E.5
  • 63
    • 57649177558 scopus 로고    scopus 로고
    • Age-related changes in modular organization of human brain functional networks
    • doi:10.1016/j.neuroimage.2008.09. 062)
    • Meunier D, Achard S, Morcom A, Bullmore E. 2009 Age-related changes in modular organization of human brain functional networks. NeuroImage 44, 715-723. (doi:10.1016/j.neuroimage.2008.09. 062)
    • (2009) NeuroImage , vol.44 , pp. 715-723
    • Meunier, D.1    Achard, S.2    Morcom, A.3    Bullmore, E.4
  • 64
    • 77954644592 scopus 로고    scopus 로고
    • Human functional connectivity: New tools, unresolved questions
    • USA doi:10.1073/pnas. 1005987107)
    • Buckner RL. 2010 Human functional connectivity: new tools, unresolved questions. Proc. Natl Acad. Sci. USA 107, 10 769-10 770 (doi:10.1073/pnas. 1005987107)
    • (2010) Proc. Natl Acad. Sci , vol.107 , pp. 769-770
    • Buckner, R.L.1
  • 65
    • 83055194504 scopus 로고    scopus 로고
    • Anticorrelated resting-state functional connectivity in awake rat brain
    • doi:10.1016/j. neuroimage.2011.08.009)
    • Liang Z, King J, Zhang N. 2012 Anticorrelated resting-state functional connectivity in awake rat brain. NeuroImage 59, 1190-1199. doi:10.1016/j. neuroimage.2011.08.009)
    • (2012) NeuroImage , vol.59 , pp. 1190-1199
    • Liang, Z.1    King, J.2    Zhang, N.3
  • 66
    • 84889397102 scopus 로고    scopus 로고
    • Handbook of time series analysis: Introduction and overview
    • eds B Schelter, T Winterhalder, J Timmer), Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA
    • Schelter B, Winterhalder M, Timmer J. 2006 Handbook of time series analysis: introduction and overview. In Handbook of time series analysis (eds B Schelter, T Winterhalder, J Timmer), pp. 1-4. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA.
    • (2006) Handbook of Time Series Analysis , pp. 1-4
    • Schelter, B.1    Winterhalder, M.2    Timmer, J.3
  • 67
    • 85035246836 scopus 로고    scopus 로고
    • Performance of different synchronization measures in real data: A case study on electroencephalographic signals
    • doi:10.1103/PhysRevE.65.041903)
    • Quian Quiroga R, Kraskov A, Kreuz T, Grassberger P. 2002 Performance of different synchronization measures in real data: a case study on electroencephalographic signals. Phys. Rev. E 65, 041903. (doi:10.1103/PhysRevE.65.041903)
    • (2002) Phys. Rev. E , vol.65 , pp. 041903
    • Quian Quiroga, R.1    Kraskov, A.2    Kreuz, T.3    Grassberger, P.4
  • 68
    • 1242338933 scopus 로고    scopus 로고
    • Evaluation of different measures of functional connectivity using aneural mass model
    • doi:10.1016/j.neuroimage.2003.10.006)
    • David O, Cosmelli D, Friston KJ. 2004 Evaluation of different measures of functional connectivity using aneural mass model. NeuroImage 21, 659-673. (doi:10.1016/j.neuroimage.2003.10.006)
    • (2004) NeuroImage , vol.21 , pp. 659-673
    • David, O.1    Cosmelli, D.2    Friston, K.J.3
  • 69
    • 33749337076 scopus 로고    scopus 로고
    • Quantitative evaluation of linear and nonlinear methods characterizing interdependencies between brain signals
    • (doi:10.1103/ PhysRevE.74.031916)
    • Ansari-Asl K, Senhadji L, Bellanger J-J, Wendling F. 2006 Quantitative evaluation of linear and nonlinear methods characterizing interdependencies between brain signals. Phys. Rev. E 74, 031916. (doi:10.1103/ PhysRevE.74.031916)
    • (2006) Phys. Rev. E , vol.74 , pp. 031916
    • Ansari-Asl, K.1    Senhadji, L.2    Bellanger, J.-J.3    Wendling, F.4
  • 70
    • 78651293981 scopus 로고    scopus 로고
    • Graph analysis of epileptogenic networks in human partial epilepsy
    • doi:10.1111/j.1528-1167. 2010.02785.x)
    • Wilke C, Worrell G, He B. 2011 Graph analysis of epileptogenic networks in human partial epilepsy. Epilepsia 52, 84-93. (doi:10.1111/j.1528-1167. 2010.02785.x)
    • (2011) Epilepsia , vol.52 , pp. 84-93
    • Wilke, C.1    Worrell, G.2    He, B.3
  • 71
    • 77949559514 scopus 로고    scopus 로고
    • Functional modularity of background activities in normal and epileptic brain networks
    • doi:10. 1103/PhysRevLett.104.118701)
    • Chavez M, Valencia M, Navarro V, Latora V, Martinerie J. 2010 Functional modularity of background activities in normal and epileptic brain networks. Phys. Rev. Lett. 104, 118701. (doi:10. 1103/PhysRevLett.104.118701)
    • (2010) Phys. Rev. Lett , vol.104 , pp. 118701
    • Chavez, M.1    Valencia, M.2    Navarro, V.3    Latora, V.4    Martinerie, J.5
  • 72
    • 33947613170 scopus 로고    scopus 로고
    • New vistas for a-frequency band oscillations
    • 10.1016/j.tins.2007.02.001)
    • Palva S, Palva JM. 2007 New vistas for a-frequency band oscillations. Trends Neurosci. 30, 150-158. (doi:10.1016/j.tins.2007.02.001)
    • (2007) Trends Neurosci , vol.30 , pp. 150-158
    • Palva, S.1    Palva, J.M.2
  • 73
    • 0034105909 scopus 로고    scopus 로고
    • Mu and beta rhythm topographies during motor imagery and actual movements
    • 10.1023/A:1023437823106)
    • McFarland D, Miner L, Vaughan T, Wolpaw J. 2000 Mu and beta rhythm topographies during motor imagery and actual movements. Brain Topogr. 12, 177-186 (doi:10.1023/A:1023437823106)
    • (2000) Brain Topogr , vol.12 , pp. 177-186
    • McFarland, D.1    Miner, L.2    Vaughan, T.3    Wolpaw, J.4
  • 75
    • 34548014282 scopus 로고    scopus 로고
    • Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
    • :10.1038/nrn2201)
    • Fox MD, Raichle ME. 2007 Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat. Rev. Neurosci. 8, 700-711. (doi:10.1038/nrn2201)
    • (2007) Nat. Rev. Neurosci , vol.8 , pp. 700-711
    • Fox, M.D.1    Raichle, M.E.2
  • 76
    • 7044229944 scopus 로고    scopus 로고
    • Wavelets and functional magnetic resonance imaging of the human brain
    • doi:10.1016/j.neuroimage.2004.07.012)
    • Bullmore E, Fadili J, Maxim V, Sendur L, Whitcher B, Suckling J, Brammer M, Breakspear M. 2004 Wavelets and functional magnetic resonance imaging of the human brain. Neuroimage 23(Suppl. 1), S234-S249. (doi:10.1016/j.neuroimage.2004.07.012)
    • (2004) Neuroimage , vol.23 , Issue.SUPPL. 1
    • Bullmore, E.1    Fadili, J.2    Maxim, V.3    Sendur, L.4    Whitcher, B.5    Suckling, J.6    Brammer, M.7    Breakspear, M.8
  • 77
    • 40949152782 scopus 로고    scopus 로고
    • Fractal connectivity of long-memory networks
    • doi:10.1103/ PhysRevE.77.036104)
    • Achard S, Bassett DS, Meyer-Lindenberg A, Bullmore E. 2008 Fractal connectivity of long-memory networks. Phys. Rev. E 77, 036104. (doi:10.1103/ PhysRevE.77.036104)
    • (2008) Phys. Rev. E , vol.77 , pp. 036104
    • Achard, S.1    Bassett, D.S.2    Meyer-Lindenberg, A.3    Bullmore, E.4
  • 78
    • 79951527370 scopus 로고    scopus 로고
    • Spike-train communities: Finding groups of similar spike trains
    • doi:10.1523/JNEUROSCI.2853-10. 2011)
    • Humphries MD. 2011 Spike-train communities: finding groups of similar spike trains. J. Neurosci. 6, 2321-2336 (doi:10.1523/JNEUROSCI.2853-10. 2011)
    • (2011) J. Neurosci , vol.6 , pp. 2321-2336
    • Humphries, M.D.1
  • 83
    • 0032757697 scopus 로고    scopus 로고
    • Measuring phase synchrony in brain signals
    • doi:10.1002/ (SICI)1097-0193(1999)8:4,194::AID-HBM4.3.0. CO;2-C)
    • Lachaux J, Rodriguez E, Martinerie J, Varela F. 1999 Measuring phase synchrony in brain signals. Hum. Brain Mapp. 8, 194-208. (doi:10.1002/ (SICI)1097-0193(1999)8:4,194::AID-HBM4.3.0. CO;2-C)
    • (1999) Hum. Brain Mapp , vol.8 , pp. 194-208
    • Lachaux, J.1    Rodriguez, E.2    Martinerie, J.3    Varela, F.4
  • 84
    • 84881246490 scopus 로고    scopus 로고
    • The effect of scan length on the reliability of restingstate fMRI connectivity estimates
    • doi:10.1016/j.neuroimage.2013.05.099)
    • Birn R, Molloy E, Patriat R, Parker T, Meier T, Kirk G, Nair VA, Meyerand M, Prabhakaran V. 2013 The effect of scan length on the reliability of restingstate fMRI connectivity estimates. Neuroimage 83, 550-558. (doi:10.1016/j.neuroimage.2013.05.099)
    • (2013) Neuroimage , vol.83 , pp. 550-558
    • Birn, R.1    Molloy, E.2    Patriat, R.3    Parker, T.4    Meier, T.5    Kirk, G.6    Nair, V.A.7    Meyerand, M.8    Prabhakaran, V.9
  • 86
    • 84889451754 scopus 로고    scopus 로고
    • Detecting coupling in the presence of noise and nonlinearity. In Handbook of time series analysis (eds B Schelter, M Winterhalder
    • Wiley-VCH Verlag GmbH & Co. KGaA
    • Netoff TI, Carroll TL, Pecora LM, Schiff SJ. 2006 Detecting coupling in the presence of noise and nonlinearity. In Handbook of time series analysis (eds B Schelter, M Winterhalder, J Timmer), pp. 265-282. Wiley-VCH Verlag GmbH & Co. KGaA.
    • (2006) J Timmer) , pp. 265-282
    • Netoff, T.I.1    Carroll, T.L.2    Pecora, L.M.3    Schiff, S.J.4
  • 87
    • 27844612542 scopus 로고    scopus 로고
    • Nonlinear multivariate analysis of neurophysiological signals
    • doi:10.1016/j.pneurobio.2005.10.003)
    • Pereda E, Quiroga RQ, Bhattacharya J. 2005 Nonlinear multivariate analysis of neurophysiological signals. Prog. Neurobiol. 77, 1-37. (doi:10.1016/j.pneurobio.2005.10.003)
    • (2005) Prog. Neurobiol , vol.77 , pp. 1-37
    • Pereda, E.1    Quiroga, R.Q.2    Bhattacharya, J.3
  • 88
    • 79952279855 scopus 로고    scopus 로고
    • On directed information theory and Granger causality graphs
    • doi:10.1007/s10827-010-0231-x)
    • Amblard P, Michel O. 2011 On directed information theory and Granger causality graphs. J. Comput. Neurosci. 30, 7-16 (doi:10.1007/s10827-010-0231-x)
    • (2011) J. Comput. Neurosci , vol.30 , pp. 7-16
    • Amblard, P.1    Michel, O.2
  • 89
    • 79952282225 scopus 로고    scopus 로고
    • Exploring functional connectivities of the human brain using multivariate information analysis
    • 22 (eds Y BengioD Schuurmans, JD Lafferty, CKI Williams, A Culotta), Vancouver, Canada, 7-10 December 2009, Curran Associates Inc
    • Chai B, Walther D, Beck D, Fei-fei L. 2009 Exploring functional connectivities of the human brain using multivariate information analysis. In Advances in neural information processing systems 22 (eds Y BengioD Schuurmans, JD Lafferty, CKI Williams, A Culotta), Vancouver, Canada, 7-10 December 2009, pp. 270-278. Curran Associates Inc.
    • (2009) In Advances In Neural Information Processing Systems , pp. 270-278
    • Chai, B.1    Walther, D.2    Beck, D.3    Fei-Fei, L.4
  • 90
    • 79952707728 scopus 로고    scopus 로고
    • An improved index of phasesynchronization for electrophysiological data in the presence of volume-conduction, noise and samplesize bias
    • doi:10. 1016/j.neuroimage.2011.01.055)
    • Vinck M, Oostenveld R, van Wingerden M, Battaglia F, Pennartz CMA. 2011 An improved index of phasesynchronization for electrophysiological data in the presence of volume-conduction, noise and samplesize bias. NeuroImage 55, 1548-1565. (doi:10. 1016/j.neuroimage.2011.01.055)
    • (2011) NeuroImage , vol.55 , pp. 1548-1565
    • Vinck, M.1    Oostenveld, R.2    van Wingerden, M.3    Battaglia, F.4    Pennartz, C.M.A.5
  • 91
    • 34247480179 scopus 로고
    • Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root
    • doi:10.1016/0304- 4076(92)90104-Y)
    • Kwiatkowski D, Phillips PCB, Schmidt P, Shin Y. 1992 Testing the null hypothesis of stationarity against the alternative of a unit root: how sure are we that economic time series have a unit root? J. Econ. 54, 159-178. (doi:10.1016/0304- 4076(92)90104-Y)
    • (1992) J. Econ , vol.54 , pp. 159-178
    • Kwiatkowski, D.1    Phillips, P.C.B.2    Schmidt, P.3    Shin, Y.4
  • 92
    • 84890529635 scopus 로고    scopus 로고
    • Adaptive processing of brain signals
    • (ed. S Sanei, Oxford, UK: John Wiley and Sons, Ltd
    • Sanei S. 2013 Adaptive processing of brain signals. In Fundamentals of EEG signal processing (ed. S Sanei), pp. 37-44. Oxford, UK: John Wiley and Sons, Ltd.
    • (2013) In Fundamentals of EEG Signal Processing , pp. 37-44
    • Sanei, S.1
  • 93
    • 1942424922 scopus 로고    scopus 로고
    • A method for removal of global effects from fMRI time series
    • doi:10. 1016/j.neuroimage.2003.12.042)
    • Macey PM, Macey KE, Kumar R, Harper RM. 2004 A method for removal of global effects from fMRI time series. NeuroImage 22, 360-366. (doi:10. 1016/j.neuroimage.2003.12.042)
    • (2004) NeuroImage , vol.22 , pp. 360-366
    • Macey, P.M.1    Macey, K.E.2    Kumar, R.3    Harper, R.M.4
  • 94
    • 57649158932 scopus 로고    scopus 로고
    • The impact of global signal regression on resting state correlations: Are anticorrelated networks introduced?
    • doi:10.1016/j.neuroimage.2008.09.036)
    • Murphy K, Birn RM, Handwerker DA, Jones TB, Bandettini PA. 2009 The impact of global signal regression on resting state correlations: are anticorrelated networks introduced? NeuroImage 44, 893-905. (doi:10.1016/j.neuroimage.2008.09.036)
    • (2009) NeuroImage , vol.44 , pp. 893-905
    • Murphy, K.1    Birn, R.M.2    Handwerker, D.A.3    Jones, T.B.4    Bandettini, P.A.5
  • 95
    • 83055172827 scopus 로고    scopus 로고
    • Anticorrelations in resting state networks without global signal regression
    • doi:10.1016/j.neuroimage.2011. 08.048)
    • Chai XJ, Castanon AN, Ongur D, Whitfield-Gabrieli S. 2012 Anticorrelations in resting state networks without global signal regression. NeuroImage 59, 1420-1428. (doi:10.1016/j.neuroimage.2011. 08.048)
    • (2012) NeuroImage , vol.59 , pp. 1420-1428
    • Chai, X.J.1    Castanon, A.N.2    Ongur, D.3    Whitfield-Gabrieli, S.4
  • 96
    • 84866121509 scopus 로고    scopus 로고
    • Trouble at rest: How correlation patterns and group differences become distorted after global signal regression
    • doi:10.1089/brain.2012.0080)
    • Saad ZS, Gotts SJ, Murphy K, Chen G, Jo HJ, Martin A, Cox RW. 2012 Trouble at rest: how correlation patterns and group differences become distorted after global signal regression. Brain Connect. 2, 25-32. (doi:10.1089/brain.2012.0080)
    • (2012) Brain Connect , vol.2 , pp. 25-32
    • Saad, Z.S.1    Gotts, S.J.2    Murphy, K.3    Chen, G.4    Jo, H.J.5    Martin, A.6    Cox, R.W.7
  • 97
    • 67651033257 scopus 로고    scopus 로고
    • Correlations and anticorrelations in resting-state functional connectivity MRI: A quantitative comparison of preprocessing strategies
    • doi:10.1016/j.neuroimage.2009.05.005)
    • Weissenbacher A, Kasess C, Gerstl F, Lanzenberger R, Moser E, Windischberger C. 2009 Correlations and anticorrelations in resting-state functional connectivity MRI: a quantitative comparison of preprocessing strategies. NeuroImage 47, 1408-1416. (doi:10.1016/j.neuroimage.2009.05.005)
    • (2009) NeuroImage , vol.47 , pp. 1408-1416
    • Weissenbacher, A.1    Kasess, C.2    Gerstl, F.3    Lanzenberger, R.4    Moser, E.5    Windischberger, C.6
  • 98
    • 84860325685 scopus 로고    scopus 로고
    • A method to determine the necessity for global signal regression in resting-state fMRI studies
    • doi:10.1002/mrm.24201)
    • Chen G, Chen G, Xie C, Ward BD, Li W, Antuono P, Li S-J. 2012 A method to determine the necessity for global signal regression in resting-state fMRI studies. Magn. Reson. Med. 68, 1828-1835. (doi:10.1002/mrm.24201)
    • (2012) Magn. Reson. Med , vol.68 , pp. 1828-1835
    • Chen, G.1    Chen, G.2    Xie, C.3    Ward, B.D.4    Li, W.5    Antuono, P.6    Li, S.-J.7
  • 99
    • 84884227262 scopus 로고    scopus 로고
    • Methods to detect, characterize, and remove motion artifact in resting state fMRI
    • doi:10.1016/ j.neuroimage.2013.08.048)
    • Power JD, Mitra A, Laumann TO, Snyder AZ, Schlaggar BL, Petersen SE. 2014 Methods to detect, characterize, and remove motion artifact in resting state fMRI. NeuroImage 84, 320-341. (doi:10.1016/ j.neuroimage.2013.08.048)
    • (2014) NeuroImage , vol.84 , pp. 320-341
    • Power, J.D.1    Mitra, A.2    Laumann, T.O.3    Snyder, A.Z.4    Schlaggar, B.L.5    Petersen, S.E.6
  • 100
    • 0030032333 scopus 로고    scopus 로고
    • Movement-related effects in fMRI time-series
    • doi:10. 1002/mrm.1910350312)
    • Friston K, Williams S, Howard R, Frackowiak R, Turner R. 1996 Movement-related effects in fMRI time-series. Magn. Res. Med. 35, 346-355. (doi:10. 1002/mrm.1910350312)
    • (1996) Magn. Res. Med , vol.35 , pp. 346-355
    • Friston, K.1    Williams, S.2    Howard, R.3    Frackowiak, R.4    Turner, R.5
  • 101
    • 84867455814 scopus 로고    scopus 로고
    • An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data
    • doi:10.1016/j. neuroimage.2012.08.052)
    • Satterthwaite TD et al. 2013 An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data. Neuroimage 64, 240-256. (doi:10.1016/j. neuroimage.2012.08.052)
    • (2013) Neuroimage , vol.64 , pp. 240-256
    • Satterthwaite, T.D.1
  • 102
    • 84901302803 scopus 로고    scopus 로고
    • A wavelet method for modeling and despiking motion artifacts from resting-state fMRI time series
    • doi:10.1016/j. neuroimage.2014.03.012)
    • Patel AX, Kundu P, Rubinov M, Simon Jones P, Vertes PE, Ersche KD, Suckling J, Bullmore ET. 2014 A wavelet method for modeling and despiking motion artifacts from resting-state fMRI time series. NeuroImage 95, 287-304. (doi:10.1016/j. neuroimage.2014.03.012)
    • (2014) NeuroImage , vol.95 , pp. 287-304
    • Patel, A.X.1    Kundu, P.2    Rubinov, M.3    Simon Jones, P.4    Vertes, P.E.5    Ersche, K.D.6    Suckling, J.7    Bullmore, E.T.8
  • 103
    • 84855455705 scopus 로고    scopus 로고
    • Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion
    • doi:10.1016/j.neuroimage.2011.10.018)
    • Power JD, Barnes KA, Snyder AZ, Schlaggar BL, Petersen SE. 2012 Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. NeuroImage 59, 2142-2154. (doi:10.1016/j.neuroimage.2011.10.018)
    • (2012) NeuroImage , vol.59 , pp. 2142-2154
    • Power, J.D.1    Barnes, K.A.2    Snyder, A.Z.3    Schlaggar, B.L.4    Petersen, S.E.5
  • 104
    • 79960882474 scopus 로고    scopus 로고
    • Brain network analysis: Separating cost from topology using cost-integration
    • doi:10.1371/journal.pone.0021570)
    • Ginestet CE, Nichols TE, Bullmore ET, Simmons A. 2011 Brain network analysis: separating cost from topology using cost-integration. PLoS ONE 6, e21570. (doi:10.1371/journal.pone.0021570)
    • (2011) PLoS ONE , vol.6
    • Ginestet, C.E.1    Nichols, T.E.2    Bullmore, E.T.3    Simmons, A.4
  • 105
    • 79957450857 scopus 로고    scopus 로고
    • Weight-conserving characterization of complex functional brain networks
    • doi:10. 1016/j.neuroimage.2011.03.069)
    • Rubinov M, Sporns O. 2011 Weight-conserving characterization of complex functional brain networks. NeuroImage 56, 2068-2079. (doi:10. 1016/j.neuroimage.2011.03.069)
    • (2011) NeuroImage , vol.56 , pp. 2068-2079
    • Rubinov, M.1    Sporns, O.2
  • 106
    • 84865305316 scopus 로고    scopus 로고
    • Schizophrenia, neuroimaging and connectomics
    • doi:10.1016/j. neuroimage.2011.12.090)
    • Fornito A, Zalesky A, Pantelis C, Bullmore E. 2012 Schizophrenia, neuroimaging and connectomics. Neuroimage 62, 2296-2314. (doi:10.1016/j. neuroimage.2011.12.090)
    • (2012) Neuroimage , vol.62 , pp. 2296-2314
    • Fornito, A.1    Zalesky, A.2    Pantelis, C.3    Bullmore, E.4
  • 108
    • 0033785280 scopus 로고    scopus 로고
    • Wavelet analysis of covariance with application to atmospheric time series
    • doi:10.1029/2000JD900110)
    • Whitcher B, Guttorp P, Percival DB. 2000 Wavelet analysis of covariance with application to atmospheric time series. J. Geophys. Res. 105(D11), 941-962. (doi:10.1029/2000JD900110)
    • (2000) J. Geophys. Res , vol.105 , Issue.D11 , pp. 941-962
    • Whitcher, B.1    Guttorp, P.2    Percival, D.B.3
  • 112
    • 33744523862 scopus 로고    scopus 로고
    • Towards a proper estimation of phase synchronization from time series
    • doi:10.1016/j.jneumeth.2005.12.009)
    • Chavez M, Besserve M, Adam C, Martinerie J. 2006 Towards a proper estimation of phase synchronization from time series. J. Neurosci. Methods 154, 149-160. (doi:10.1016/j.jneumeth.2005.12.009)
    • (2006) J. Neurosci. Methods , vol.154 , pp. 149-160
    • Chavez, M.1    Besserve, M.2    Adam, C.3    Martinerie, J.4
  • 113
    • 84874981946 scopus 로고    scopus 로고
    • A note on the phase locking value and its properties
    • doi:10.1016/j. neuroimage.2013.02.008)
    • Aydore S, Pantazis D, Leahy RM. 2013 A note on the phase locking value and its properties. NeuroImage 74, 231-244. (doi:10.1016/j. neuroimage.2013.02.008)
    • (2013) NeuroImage , vol.74 , pp. 231-244
    • Aydore, S.1    Pantazis, D.2    Leahy, R.M.3
  • 114
    • 84856001695 scopus 로고    scopus 로고
    • Large-scale correlation screening
    • doi:10.1198/jasa.2011.tm11015)
    • Hero A, Rajaratnama B. 2011 Large-scale correlation screening. J. Am. Stat. Assoc. 106, 1540-1552. (doi:10.1198/jasa.2011.tm11015)
    • (2011) J. Am. Stat. Assoc , vol.106 , pp. 1540-1552
    • Hero, A.1    Rajaratnama, B.2
  • 116
    • 79959700035 scopus 로고    scopus 로고
    • A tutorial in connectome analysis: Topological and spatial features of brain networks
    • doi:10.1016/j. neuroimage.2011.05.025)
    • Kaiser M. 2011 A tutorial in connectome analysis: topological and spatial features of brain networks. Neuroimage 57, 892-907. (doi:10.1016/j. neuroimage.2011.05.025)
    • (2011) Neuroimage , vol.57 , pp. 892-907
    • Kaiser, M.1
  • 117
    • 84855422562 scopus 로고    scopus 로고
    • Altered resting state complexity in schizophrenia
    • doi:10. 1016/j.neuroimage.2011.10.002)
    • Bassett DS, Nelson BG, Mueller BA, Camchong J, Lim KO. 2012 Altered resting state complexity in schizophrenia. NeuroImage 59, 2196-2207. (doi:10. 1016/j.neuroimage.2011.10.002)
    • (2012) NeuroImage , vol.59 , pp. 2196-2207
    • Bassett, D.S.1    Nelson, B.G.2    Mueller, B.A.3    Camchong, J.4    Lim, K.O.5
  • 121
    • 26944456272 scopus 로고    scopus 로고
    • Network clustering coefficient without degree-correlation biases
    • doi:10.1103/PhysRevE.71. 057101)
    • Soffer SN, Vazquez A. 2005 Network clustering coefficient without degree-correlation biases. Phys. Rev. E 71, 057101. (doi:10.1103/PhysRevE.71. 057101)
    • (2005) Phys. Rev. E , vol.71 , pp. 057101
    • Soffer, S.N.1    Vazquez, A.2
  • 122
    • 84882600940 scopus 로고    scopus 로고
    • Evidence for hubs in human functional brain networks
    • doi:10.1016/j.neuron.2013.07.035)
    • Power JD, Schlaggar BL, Lessov-Schlaggar CN, Petersen SE. 2013 Evidence for hubs in human functional brain networks. Neuron 79, 798-813. (doi:10.1016/j.neuron.2013.07.035)
    • (2013) Neuron , vol.79 , pp. 798-813
    • Power, J.D.1    Schlaggar, B.L.2    Lessov-Schlaggar, C.N.3    Petersen, S.E.4
  • 123
    • 35348957264 scopus 로고    scopus 로고
    • Efficient behavior of small-world networks
    • doi:10.1103/physrevlett.87.198701)
    • Latora V, Marchiori M. 2001 Efficient behavior of small-world networks. Phys. Rev. Lett. 87, 198701. (doi:10.1103/physrevlett.87.198701)
    • (2001) Phys. Rev. Lett , vol.87 , pp. 198701
    • Latora, V.1    Marchiori, M.2
  • 124
    • 78651292288 scopus 로고    scopus 로고
    • Graph theoretical analysis of structural and functional connectivity MRI in normal and pathological brain networks
    • doi:10.1007/ s10334-010-0205-z)
    • Guye M, Bettus G, Bartolomei F, Cozzone P. 2010 Graph theoretical analysis of structural and functional connectivity MRI in normal and pathological brain networks. Magn. Reson. Mater. Phys. Biol. Med. 23, 409-421. (doi:10.1007/ s10334-010-0205-z)
    • (2010) Magn. Reson. Mater. Phys. Biol. Med , vol.23 , pp. 409-421
    • Guye, M.1    Bettus, G.2    Bartolomei, F.3    Cozzone, P.4
  • 125
    • 41849126709 scopus 로고    scopus 로고
    • Disrupted small-world networks in schizophrenia
    • doi:10.1093/ brain/awn018)
    • Liu Y et al. 2008 Disrupted small-world networks in schizophrenia. Brain 131, 945-961. (doi:10.1093/ brain/awn018)
    • (2008) Brain , vol.131 , pp. 945-961
    • Liu, Y.1
  • 126
    • 77957367135 scopus 로고    scopus 로고
    • Impaired efficiency of functional networks underlying episodic memory-for-context in schizophrenia
    • doi:10.1523/JNEUROSCI.3514-10.2010)
    • Wang L, Metzak PD, Honer WG, Woodward TS. 2010 Impaired efficiency of functional networks underlying episodic memory-for-context in schizophrenia. J. Neurosci. 30, 13 171-13 179. (doi:10.1523/JNEUROSCI.3514-10.2010)
    • (2010) J. Neurosci , vol.30 , pp. 171-179
    • Wang, L.1    Metzak, P.D.2    Honer, W.G.3    Woodward, T.S.4
  • 127
    • 78650886933 scopus 로고    scopus 로고
    • A big-world network in ASD: Dynamical connectivity analysis reflects a deficit in long-range connections and an excess of shortrange connections
    • doi:10.1016/j.neuropsychologia.2010.11.024)
    • Barttfeld P, Wicker B, Cukier S, Navarta S, Lew S, Sigman M. 2011 A big-world network in ASD: dynamical connectivity analysis reflects a deficit in long-range connections and an excess of shortrange connections. Neuropsychologia 49, 254-263. (doi:10.1016/j.neuropsychologia.2010.11.024)
    • (2011) Neuropsychologia , vol.49 , pp. 254-263
    • Barttfeld, P.1    Wicker, B.2    Cukier, S.3    Navarta, S.4    Lew, S.5    Sigman, M.6
  • 128
    • 77950799117 scopus 로고    scopus 로고
    • Dynamic functional reorganization of the motor execution network after stroke
    • doi:10.1093/brain/ awq043)
    • Wang L et al. 2010 Dynamic functional reorganization of the motor execution network after stroke. Brain 133, 1224-1238. (doi:10.1093/brain/ awq043)
    • (2010) Brain , vol.133 , pp. 1224-1238
    • Wang, L.1
  • 129
    • 35148895973 scopus 로고    scopus 로고
    • Cortical functional connectivity networks in normal and spinal cord injured patients: Evaluation by graph analysis
    • doi:10.1002/hbm. 20353)
    • Fallani FDV et al. 2007 Cortical functional connectivity networks in normal and spinal cord injured patients: evaluation by graph analysis. Hum. Brain Mapp. 28, 1334-1346.(doi:10.1002/hbm. 20353)
    • (2007) Hum. Brain Mapp , vol.28 , pp. 1334-1346
    • Fallani, F.D.V.1
  • 130
    • 46249131887 scopus 로고    scopus 로고
    • Network analysis of intrinsic functional brain connectivity in Alzheimer's disease
    • doi:10.1371/journal. pcbi.1000100)
    • Supekar K, Menon V, Rubin D, Musen M, Greicius MD. 2008 Network analysis of intrinsic functional brain connectivity in Alzheimer's disease. PLoS Comput. Biol. 4, e1000100. (doi:10.1371/journal. pcbi.1000100)
    • (2008) PLoS Comput. Biol , vol.4
    • Supekar, K.1    Menon, V.2    Rubin, D.3    Musen, M.4    Greicius, M.D.5
  • 131
    • 84880929576 scopus 로고    scopus 로고
    • Multiscale topological properties of functional brain networks during motor imagery after stroke
    • doi:10.1016/j.neuroimage.2013.06.039)
    • De Vico Fallani F, Pichiorri F, Morone G, Molinari M, Babiloni F, Cincotti F, Mattia D. 2013 Multiscale topological properties of functional brain networks during motor imagery after stroke. Neuroimage 83, 438-449. (doi:10.1016/j.neuroimage.2013.06.039)
    • (2013) Neuroimage , vol.83 , pp. 438-449
    • De Vico Fallani, F.1    Pichiorri, F.2    Morone, G.3    Molinari, M.4    Babiloni, F.5    Cincotti, F.6    Mattia, D.7
  • 132
    • 84863337784 scopus 로고    scopus 로고
    • Predicting regional neurodegeneration from the healthy brain functional connectome
    • doi:10.1016/j.neuron. 2012.03.004)
    • Zhou J, Gennatas ED, Kramer JH, Miller BL, Seeley WW. 2012 Predicting regional neurodegeneration from the healthy brain functional connectome. Neuron 73, 1216-1227. (doi:10.1016/j.neuron. 2012.03.004)
    • (2012) Neuron , vol.73 , pp. 1216-1227
    • Zhou, J.1    Gennatas, E.D.2    Kramer, J.H.3    Miller, B.L.4    Seeley, W.W.5
  • 133
    • 84891371277 scopus 로고    scopus 로고
    • Functional connectivity and graph theory in preclinical Alzheimer's disease
    • doi:10.1016/j.neurobiolaging.2013.10.081)
    • Brier M, Thomas J, Fagan A, Hassenstab J, Holtzman D, Benzinger T, Morris J, Ances B. 2014 Functional connectivity and graph theory in preclinical Alzheimer's disease. Neurobiol. Aging 35, 757-768. (doi:10.1016/j.neurobiolaging.2013.10.081)
    • (2014) Neurobiol. Aging , vol.35 , pp. 757-768
    • Brier, M.1    Thomas, J.2    Fagan, A.3    Hassenstab, J.4    Holtzman, D.5    Benzinger, T.6    Morris, J.7    Ances, B.8
  • 135
    • 0037174670 scopus 로고    scopus 로고
    • Network motifs: Simple building blocks of complex networks
    • doi:10.1126/science.298.5594.824)
    • Milo R, Shen-Orr S, Itzkovitz S, Kashtan N, Chklovskii D, Alon U. 2002 Network motifs: simple building blocks of complex networks. Science 298, 824-827. (doi:10.1126/science.298.5594.824)
    • (2002) Science , vol.298 , pp. 824-827
    • Milo, R.1    Shen-Orr, S.2    Itzkovitz, S.3    Kashtan, N.4    Chklovskii, D.5    Alon, U.6
  • 136
    • 18244392161 scopus 로고    scopus 로고
    • Economic small-world behavior in weighted networks
    • doi:10.1140/epjb/ e2003-00095-5)
    • Latora V, Marchiori M. 2003 Economic small-world behavior in weighted networks. Eur. Phys. J. B Condens. Matter 32, 249-263. (doi:10.1140/epjb/ e2003-00095-5)
    • (2003) Eur. Phys. J. B Condens. Matter , vol.32 , pp. 249-263
    • Latora, V.1    Marchiori, M.2
  • 137
    • 56149103197 scopus 로고    scopus 로고
    • Cortical network dynamics during foot movements
    • doi:10.1007/s12021-007-9006-6)
    • Fallani FDV et al. 2008 Cortical network dynamics during foot movements. Neuroinformatics 6, 23-34. (doi:10.1007/s12021-007-9006-6)
    • (2008) Neuroinformatics , vol.6 , pp. 23-34
    • Fallani, F.D.V.1
  • 138
    • 0000119298 scopus 로고    scopus 로고
    • Hierarchical structure in financial markets
    • doi:10.1007/ s100510050929)
    • Mantegna R. 1999 Hierarchical structure in financial markets. Eur. Phys. J. B 11, 193-197. (doi:10.1007/ s100510050929)
    • (1999) Eur. Phys. J. B , vol.11 , pp. 193-197
    • Mantegna, R.1
  • 139
    • 0032482432 scopus 로고    scopus 로고
    • Collective dynamics of 'small-world' networks
    • doi:10.1038/30918)
    • Watts DJ, Strogatz SH. 1998 Collective dynamics of 'small-world' networks. Nature 393, 440-442. (doi:10.1038/30918)
    • (1998) Nature , vol.393 , pp. 440-442
    • Watts, D.J.1    Strogatz, S.H.2
  • 140
    • 79953664777 scopus 로고    scopus 로고
    • Brain graphs: Graphical models of the human brain connectome
    • doi:10.1146/ annurev-clinpsy-040510-143934)
    • Bullmore ET, Bassett DS. 2011 Brain graphs: graphical models of the human brain connectome. Annu. Rev. Clin. Psychol. 7, 113-140. (doi:10.1146/ annurev-clinpsy-040510-143934)
    • (2011) Annu. Rev. Clin. Psychol , vol.7 , pp. 113-140
    • Bullmore, E.T.1    Bassett, D.S.2
  • 141
    • 28844487926 scopus 로고    scopus 로고
    • Generating uniformly distributed random networks
    • doi:10.1103/physreve.72.056708
    • Artzy-Randrup Y, Stone L. 2005 Generating uniformly distributed random networks. Phys. Rev. E. 72, 056708.(doi:10.1103/physreve.72.056708)
    • (2005) Phys. Rev. E , vol.72 , pp. 056708
    • Artzy-Randrup, Y.1    Stone, L.2
  • 143
    • 84879518012 scopus 로고    scopus 로고
    • Influence of choice of null network on small-world parameters of structural correlation networks
    • doi:10.1371/journal.pone.0067354)
    • Hosseini SMH, Kesler SR. 2013 Influence of choice of null network on small-world parameters of structural correlation networks. PLoS ONE 8, e67354. (doi:10.1371/journal.pone.0067354)
    • (2013) PLoS ONE , vol.8
    • Hosseini, S.M.H.1    Kesler, S.R.2
  • 144
    • 84858138977 scopus 로고    scopus 로고
    • On the use of correlation as a measure of network connectivity
    • doi:10.1016/j. neuroimage.2012.02.001)
    • Zalesky A, Fornito A, Bullmore E. 2012 On the use of correlation as a measure of network connectivity. Neuroimage 60, 2096-2106. (doi:10.1016/j. neuroimage.2012.02.001)
    • (2012) Neuroimage , vol.60 , pp. 2096-2106
    • Zalesky, A.1    Fornito, A.2    Bullmore, E.3
  • 145
    • 4143086938 scopus 로고    scopus 로고
    • Determination of EEG activity propagation: Pair-wise versus multichannel estimate
    • doi:10.1109/TBME.2004. 827929)
    • Kus R, Kaminski M, Blinowska K. 2004 Determination of EEG activity propagation: pair-wise versus multichannel estimate. IEEE Trans. Biomed. Eng. 51, 1501-1510. (doi:10.1109/TBME.2004. 827929)
    • (2004) IEEE Trans. Biomed. Eng , vol.51 , pp. 1501-1510
    • Kus, R.1    Kaminski, M.2    Blinowska, K.3
  • 146
    • 84866170640 scopus 로고    scopus 로고
    • How the statistical validation of functional connectivity patterns can prevent erroneous definition of small-world properties of a brain connectivity network
    • 2012, doi:10.1155/2012/130985)
    • Toppi J, De Vico Fallani F, Vecchiato G, Maglione AG, Cincotti F, Mattia D, Salinari S, Babiloni F, Astolfi L. 2012 How the statistical validation of functional connectivity patterns can prevent erroneous definition of small-world properties of a brain connectivity network. Comput. Math. Methods Med. 2012, 1-13. (doi:10.1155/2012/130985)
    • (2012) Comput. Math. Methods Med , pp. 1-13
    • Toppi, J.1    De Vico Fallani, F.2    Vecchiato, G.3    Maglione, A.G.4    Cincotti, F.5    Mattia, D.6    Salinari, S.7    Babiloni, F.8    Astolfi, L.9
  • 147
    • 79958041279 scopus 로고    scopus 로고
    • Cognitive effort drives workspace configuration of human brain functional networks
    • doi:10.1523/ JNEUROSCI.0440-11.2011)
    • Kitzbichler MG, Henson RNA, Smith ML, Nathan PJ, Bullmore ET. 2011 Cognitive effort drives workspace configuration of human brain functional networks. J. Neurosci. 31, 8259-8270. (doi:10.1523/ JNEUROSCI.0440-11.2011)
    • (2011) J. Neurosci , vol.31 , pp. 8259-8270
    • Kitzbichler, M.G.1    Henson, R.N.A.2    Smith, M.L.3    Nathan, P.J.4    Bullmore, E.T.5
  • 148
    • 0041582971 scopus 로고
    • Disconnexion syndromes in animals and man
    • doi:10. 1093/brain/88.2.237)
    • Geschwind N. 1965 Disconnexion syndromes in animals and man. Brain 88, 237-294. (doi:10. 1093/brain/88.2.237)
    • (1965) Brain , vol.88 , pp. 237-294
    • Geschwind, N.1
  • 149
    • 78149420706 scopus 로고    scopus 로고
    • Network scaling effects in graph analytic studies of human resting-state fMRI data
    • doi:10.3389/fnsys.2010.00022)
    • Fornito A, Zalesky A, Bullmore ET. 2010 Network scaling effects in graph analytic studies of human resting-state fMRI data. Front. Syst. Neurosci. 4, 22. (doi:10.3389/fnsys.2010.00022)
    • (2010) Front. Syst. Neurosci , vol.4 , pp. 22
    • Fornito, A.1    Zalesky, A.2    Bullmore, E.T.3
  • 150
    • 77957883783 scopus 로고    scopus 로고
    • A new measure of centrality for brain networks
    • doi:10.1371/ journal.pone.0012200)
    • Joyce KE, Laurienti PJ, Burdette JH, Hayasaka S. 2010 A new measure of centrality for brain networks. PLoS ONE 5, e12200. (doi:10.1371/ journal.pone.0012200)
    • (2010) PLoS ONE , vol.5
    • Joyce, K.E.1    Laurienti, P.J.2    Burdette, J.H.3    Hayasaka, S.4
  • 152
    • 0006084706 scopus 로고    scopus 로고
    • Biostatistical analysis
    • NJ: Prentice Hall PTR
    • Zar JH. 1999 Biostatistical analysis. Upper Saddle River, NJ: Prentice Hall PTR.
    • (1999) Upper Saddle River
    • Zar, J.H.1
  • 153
    • 33947724499 scopus 로고    scopus 로고
    • Characterization of complex networks: A survey of measurements
    • doi:10. 1080/00018730601170527)
    • Costa LDF, Rodrigues FA, Travieso G, Villas Boas PR. 2007 Characterization of complex networks: a survey of measurements. Adv. Phys. 56, 167-242. (doi:10. 1080/00018730601170527)
    • (2007) Adv. Phys , vol.56 , pp. 167-242
    • Costa, L.D.F.1    Rodrigues, F.A.2    Travieso, G.3    Villas Boas, P.R.4
  • 155
    • 84867378318 scopus 로고    scopus 로고
    • Predicting errors from reconfiguration patterns in human brain networks
    • USA doi:10.1073/pnas.120752 3109)
    • Ekman M, Derrfuss J, Tittgemeyer M, Fiebach C. 2012 Predicting errors from reconfiguration patterns in human brain networks. Proc. Natl Acad. Sci. USA 109, 16 714-16 719. (doi:10.1073/pnas.120752 3109)
    • (2012) Proc. Natl Acad. Sci , vol.109 , pp. 714-719
    • Ekman, M.1    Derrfuss, J.2    Tittgemeyer, M.3    Fiebach, C.4
  • 156
    • 16244401458 scopus 로고    scopus 로고
    • Regularization and variable selection via the elastic net
    • doi:10.1111/j. 1467-9868.2005.00503.x)
    • Zou H, Hastie T. 2005 Regularization and variable selection via the elastic net. J. R. Stat. Soc. Ser. B (Stat. Methodol.) 67, 301-320. (doi:10.1111/j. 1467-9868.2005.00503.x)
    • (2005) J. R. Stat. Soc. Ser. B (Stat. Methodol.) , vol.67 , pp. 301-320
    • Zou, H.1    Hastie, T.2
  • 157
    • 0001677717 scopus 로고
    • Controlling the false discovery rate: A practical and powerful approach to multiple testing
    • Benjamini Y, Hochberg Y. 1995 Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. Ser. B (Methodol.) 57, 289-300.
    • (1995) J. R. Stat. Soc. Ser. B (Methodol.) , vol.57 , pp. 289-300
    • Benjamini, Y.1    Hochberg, Y.2
  • 160
    • 84880326169 scopus 로고    scopus 로고
    • Clinical applications of the functional connectome
    • doi:10.1016/j.neuroimage.2013.04.083)
    • Castellanos FX, Di Martino A, Craddock RC, Mehta AD, Milham MP. 2013 Clinical applications of the functional connectome. Neuroimage 80, 527-540. (doi:10.1016/j.neuroimage.2013.04.083)
    • (2013) Neuroimage , vol.80 , pp. 527-540
    • Castellanos, F.X.1    Di Martino, A.2    Craddock, R.C.3    Mehta, A.D.4    Milham, M.P.5
  • 161
    • 84986525813 scopus 로고
    • Isomer discrimination by topological information approach
    • doi:10.1002/jcc. 540020202)
    • Bonchev D, Mekenyan O, Trinajstic N. 1981 Isomer discrimination by topological information approach. J. Comput. Chem. 2, 127-148. (doi:10.1002/jcc. 540020202)
    • (1981) J. Comput. Chem , vol.2 , pp. 127-148
    • Bonchev, D.1    Mekenyan, O.2    Trinajstic, N.3
  • 162
    • 33344461370 scopus 로고    scopus 로고
    • Effects of geometric head model perturbations on the EEG forward and inverse problems
    • doi:10.1109/TBME. 2005.869769
    • von Ellenrieder N, Muravchik CH, Nehorai A. 2006 Effects of geometric head model perturbations on the EEG forward and inverse problems. IEEE Trans. Biomed. Eng. 53, 421-429.(doi:10.1109/TBME. 2005.869769)
    • (2006) IEEE Trans. Biomed. Eng , vol.53 , pp. 421-429
    • von Ellenrieder, N.1    Muravchik, C.H.2    Nehorai, A.3
  • 164
    • 44649098840 scopus 로고    scopus 로고
    • Lesion identification using unified segmentation normalisation models and fuzzy clustering
    • doi:10. 1016/j.neuroimage.2008.03.028)
    • Seghier ML, Ramlackhansingh A, Crinion J, Leff AP, Price CJ. 2008 Lesion identification using unified segmentation normalisation models and fuzzy clustering. NeuroImage 41, 1253-1266. (doi:10. 1016/j.neuroimage.2008.03.028)
    • (2008) NeuroImage , vol.41 , pp. 1253-1266
    • Seghier, M.L.1    Ramlackhansingh, A.2    Crinion, J.3    Leff, A.P.4    Price, C.J.5
  • 165
    • 0035413307 scopus 로고    scopus 로고
    • Automated segmentation of multiple sclerosis lesions by model outlier detection
    • doi:10.1109/42.938237)
    • Van Leemput K, Maes F, Vandermeulen D, Colchester A, Suetens P. 2001 Automated segmentation of multiple sclerosis lesions by model outlier detection. IEEE Trans. Med. Imaging 20, 677-688. (doi:10.1109/42.938237)
    • (2001) IEEE Trans. Med. Imaging , vol.20 , pp. 677-688
    • van Leemput, K.1    Maes, F.2    Vandermeulen, D.3    Colchester, A.4    Suetens, P.5
  • 167
    • 80052213171 scopus 로고    scopus 로고
    • fMRI functional connectivity estimators robust to region size bias
    • Workshop on Statistical Signal Processing (SSP) 28-30 June 2011, Nice, France, IEEE
    • Achard S, Coeurjolly J, Marcillaud R, Richiardi J. 2011 fMRI functional connectivity estimators robust to region size bias. In Proc. IEEE Workshop on Statistical Signal Processing (SSP) 28-30 June 2011, Nice, France, pp. 813-816. IEEE.
    • (2011) Proc. IEEE , pp. 813-816
    • Achard, S.1    Coeurjolly, J.2    Marcillaud, R.3    Richiardi, J.4
  • 168
    • 34548832230 scopus 로고    scopus 로고
    • A fast diffeomorphic image registration algorithm
    • doi:10.1016/j.neuroimage.2007.07.007)
    • Ashburner J. 2007 A fast diffeomorphic image registration algorithm. NeuroImage 38, 95-113. (doi:10.1016/j.neuroimage.2007.07.007)
    • (2007) NeuroImage , vol.38 , pp. 95-113
    • Ashburner, J.1
  • 170
    • 84874507977 scopus 로고    scopus 로고
    • Total activation: FMRI deconvolution through spatio-temporal regularization
    • doi:10. 1016/j.neuroimage.2013.01.067)
    • Karahanogǧlu FI, Caballero-Gaudes C, Lazeyras F, Van de Ville D. 2013 Total activation: fMRI deconvolution through spatio-temporal regularization. Neuroimage 73, 121-134. (doi:10. 1016/j.neuroimage.2013.01.067)
    • (2013) Neuroimage , vol.73 , pp. 121-134
    • Karahanogǧlu, F.I.1    Caballero-Gaudes, C.2    Lazeyras, F.3    Van de Ville, D.4
  • 171
    • 84880332316 scopus 로고    scopus 로고
    • Restingstate fMRI confounds and cleanup
    • doi:10.1016/j.neuroimage.2013.04.001)
    • Murphy K, Birn RM, Bandettini PA. 2013 Restingstate fMRI confounds and cleanup. NeuroImage 80, 349-359. (doi:10.1016/j.neuroimage.2013.04.001)
    • (2013) NeuroImage , vol.80 , pp. 349-359
    • Murphy, K.1    Birn, R.M.2    Bandettini, P.A.3
  • 172
    • 84867470380 scopus 로고    scopus 로고
    • A novel approach for global noise reduction in resting-state fMRI: Applecor
    • doi:10.1016/j. neuroimage.2012.09.040)
    • Marx M, Pauly KB, Chang C. 2013 A novel approach for global noise reduction in resting-state fMRI: Applecor. Neuroimage 64, 19-31. (doi:10.1016/j. neuroimage.2012.09.040)
    • (2013) Neuroimage , vol.64 , pp. 19-31
    • Marx, M.1    Pauly, K.B.2    Chang, C.3
  • 173
    • 84879727690 scopus 로고    scopus 로고
    • PHYCAA{thorn}: An optimized, adaptive procedure for measuring and controlling physiological noise in bold fMRI
    • doi:10.1016/j. neuroimage.2013.05.102)
    • Churchill NW, Strother SC. 2013 PHYCAA{thorn}: an optimized, adaptive procedure for measuring and controlling physiological noise in bold fMRI. Neuroimage 82, 306-325. (doi:10.1016/j. neuroimage.2013.05.102)
    • (2013) Neuroimage , vol.82 , pp. 306-325
    • Churchill, N.W.1    Strother, S.C.2
  • 174
    • 84887291519 scopus 로고    scopus 로고
    • Structural and functional brain networks: From connections to cognition
    • doi:10.1126/science. 1238411)
    • Park H-J, Friston K. 2013 Structural and functional brain networks: from connections to cognition. Science 342, 1238411. (doi:10.1126/science. 1238411)
    • (2013) Science , vol.342 , pp. 1238411
    • Park, H.-J.1    Friston, K.2
  • 175
    • 84871882776 scopus 로고    scopus 로고
    • The problem of thresholding in small-world network analysis
    • doi:10.1371/journal.pone.0053199)
    • Langer N, Pedroni A, Jancke L. 2013 The problem of thresholding in small-world network analysis. PLoS ONE 8, e53199. (doi:10.1371/journal.pone.0053199)
    • (2013) PLoS ONE , vol.8
    • Langer, N.1    Pedroni, A.2    Jancke, L.3
  • 176
    • 78149435102 scopus 로고    scopus 로고
    • Comparing brain networks of different size and connectivity density using graph theory
    • doi:10.1371/journal.pone.0013701
    • van Wijk BCM, Stam CJ, Daffertshofer A. 2010 Comparing brain networks of different size and connectivity density using graph theory. PLoS ONE 5, e13701.(doi:10.1371/journal.pone.0013701)
    • (2010) PLoS ONE , vol.5
    • van Wijk, B.C.M.1    Stam, C.J.2    Daffertshofer, A.3
  • 179
    • 84889260210 scopus 로고    scopus 로고
    • Bootstrapping under constraint for the assessment of group behavior in human contact networks
    • (doi:10. 1103/PhysRevE.88.052812)
    • Tremblay N, Barrat A, Forest C, Nornberg M, Pinton J-F, Borgnat P. 2013 Bootstrapping under constraint for the assessment of group behavior in human contact networks. Phys. Rev. E 88, 052812. (doi:10. 1103/PhysRevE.88.052812)
    • (2013) Phys. Rev. E , vol.88 , pp. 052812
    • Tremblay, N.1    Barrat, A.2    Forest, C.3    Nornberg, M.4    Pinton, J.-F.5    Borgnat, P.6
  • 180
    • 84894553036 scopus 로고    scopus 로고
    • Nonparametric resampling of random walks for spectral network clustering
    • doi:10.1103/PhysRevE.89.012802)
    • Fallani FDV, Nicosia V, Latora V, Chavez M. 2014 Nonparametric resampling of random walks for spectral network clustering. Phys. Rev. E 89, 012802 (doi:10.1103/PhysRevE.89.012802)
    • (2014) Phys. Rev. E , vol.89 , pp. 012802
    • Fallani, F.D.V.1    Nicosia, V.2    Latora, V.3    Chavez, M.4
  • 181
    • 79960118386 scopus 로고    scopus 로고
    • Let there be light: Zebrafish neurobiology and the optogenetic revolution
    • doi:10. 1515/rns.2011.013)
    • Wyart C, Del Bene F. 2011 Let there be light: zebrafish neurobiology and the optogenetic revolution. Rev. Neurosci. 22, 121-130. (doi:10. 1515/rns.2011.013)
    • (2011) Rev. Neurosci , vol.22 , pp. 121-130
    • Wyart, C.1    Del Bene, F.2
  • 183
    • 44849116262 scopus 로고    scopus 로고
    • Dynamic small-world behavior in functional brain networks unveiled by an event-related networks approach
    • doi:10.1103/ PhysRevE.77.050905)
    • Valencia M, Martinerie J, Dupont S, Chavez M. 2008 Dynamic small-world behavior in functional brain networks unveiled by an event-related networks approach. Phys. Rev. E 77, 050905. (doi:10.1103/ PhysRevE.77.050905)
    • (2008) Phys. Rev. E , vol.77 , pp. 050905
    • Valencia, M.1    Martinerie, J.2    Dupont, S.3    Chavez, M.4
  • 184
    • 77952328459 scopus 로고    scopus 로고
    • Community structure in timedependent, multiscale, and multiplex networks
    • doi:10.1126/science. 1184819)
    • Mucha PJ, Richardson T, Macon K, Porter MA, Onnela J-P. 2010 Community structure in timedependent, multiscale, and multiplex networks. Science 328, 876-878. (doi:10.1126/science. 1184819)
    • (2010) Science , vol.328 , pp. 876-878
    • Mucha, P.J.1    Richardson, T.2    Macon, K.3    Porter, M.A.4    Onnela, J.-P.5
  • 185
    • 77953098690 scopus 로고    scopus 로고
    • Small-world behavior in time-varying graphs
    • doi:10.1103/PhysRevE.81. 055101)
    • Tang J, Scellato S, Musolesi M, Mascolo C, Latora V. 2010 Small-world behavior in time-varying graphs. Phys. Rev. E 81, 055101. (doi:10.1103/PhysRevE.81. 055101)
    • (2010) Phys. Rev. E , vol.81 , pp. 055101
    • Tang, J.1    Scellato, S.2    Musolesi, M.3    Mascolo, C.4    Latora, V.5
  • 186
    • 79451475362 scopus 로고    scopus 로고
    • Spatial networks
    • doi:10.1016/j.physrep.2010.11.002)
    • Barthelemy M. 2011 Spatial networks. Phy. Rep. 499, 1-101. (doi:10.1016/j.physrep.2010.11.002)
    • (2011) Phy. Rep , vol.499 , pp. 1-101
    • Barthelemy, M.1
  • 187
    • 84866939709 scopus 로고    scopus 로고
    • Temporal networks
    • doi:10.1016/j.physrep. 2012.03.001)
    • Holme P, Saramaki J. 2012 Temporal networks. Phys. Rep. 519, 97-125. (doi:10.1016/j.physrep. 2012.03.001)
    • (2012) Phys. Rep , vol.519 , pp. 97-125
    • Holme, P.1    Saramaki, J.2
  • 188
    • 79957464913 scopus 로고    scopus 로고
    • Reorganization of cerebral networks after stroke: New insights from neuroimaging with connectivity approaches
    • doi:10.1093/brain/awr033)
    • Grefkes C, Fink G. 2011 Reorganization of cerebral networks after stroke: new insights from neuroimaging with connectivity approaches. Brain 134, 1264-1276. (doi:10.1093/brain/awr033)
    • (2011) Brain , vol.134 , pp. 1264-1276
    • Grefkes, C.1    Fink, G.2
  • 189
    • 84862698719 scopus 로고    scopus 로고
    • The brain activity map project and the challenge of functional connectomics
    • doi:10.1016/j. neuron.2012.06.006)
    • Alivisatos AP, Chun M, Church GM, Greenspan RJ, Roukes ML, Yuste R. 2012 The brain activity map project and the challenge of functional connectomics. Neuron 74, 970-974. (doi:10.1016/j. neuron.2012.06.006)
    • (2012) Neuron , vol.74 , pp. 970-974
    • Alivisatos, A.P.1    Chun, M.2    Church, G.M.3    Greenspan, R.J.4    Roukes, M.L.5    Yuste, R.6


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