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Volumn 101, Issue , 2014, Pages 796-808

Granger causality revisited

Author keywords

Cross spectra; Dynamic causal modelling; Dynamics; Effective connectivity; Functional connectivity; Granger causality; Neurophysiology

Indexed keywords

ARTICLE; AUTOREGRESSIVE COEFFICIENT; CELL POPULATION; CONSTANTS AND COEFFICIENTS; COVARIANCE; DYNAMICAL INSTABILITY; DYNAMICS; ELECTROPHYSIOLOGY; GRANGER CAUSALITY; MEASUREMENT ACCURACY; MEASUREMENT NOISE; MODULATION TRANSFER FUNCTION; NERVE CELL; NERVE CELL MEMBRANE CONDUCTANCE; NERVE CONDUCTION; NOISE; PRESYNAPTIC INHIBITION; TIME SERIES ANALYSIS; CONNECTOME; HUMAN; PROCEDURES; STATISTICAL ANALYSIS; THEORETICAL MODEL;

EID: 84907043594     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2014.06.062     Document Type: Article
Times cited : (88)

References (35)
  • 1
    • 84890962645 scopus 로고    scopus 로고
    • The MVGC multivariate Granger causality toolbox: a new approach to Granger-causal inference
    • Barnett L., Seth A. The MVGC multivariate Granger causality toolbox: a new approach to Granger-causal inference. J. Neurosci. Methods 2014, 223:50-68.
    • (2014) J. Neurosci. Methods , vol.223 , pp. 50-68
    • Barnett, L.1    Seth, A.2
  • 2
    • 71549116419 scopus 로고    scopus 로고
    • Granger causality and transfer entropy are equivalent for Gaussian variables
    • Barnett L., Barrett A., Seth A. Granger causality and transfer entropy are equivalent for Gaussian variables. Phys. Rev. Lett. 2009, 103(23):238701.
    • (2009) Phys. Rev. Lett. , vol.103 , Issue.23 , pp. 238701
    • Barnett, L.1    Barrett, A.2    Seth, A.3
  • 6
    • 84864411195 scopus 로고    scopus 로고
    • Dynamic causal modelling of precision and synaptic gain in visual perception - an EEG study
    • Brown H.R., Friston K.J. Dynamic causal modelling of precision and synaptic gain in visual perception - an EEG study. Neuroimage 2012, 63(1):223-231.
    • (2012) Neuroimage , vol.63 , Issue.1 , pp. 223-231
    • Brown, H.R.1    Friston, K.J.2
  • 8
    • 0035140147 scopus 로고    scopus 로고
    • Colored noise and computational inference in neurophysiological (fMRI) time series analysis: resampling methods in time and wavelet domains
    • Bullmore E., Long C., Suckling J., Fadili J., Calvert G., Zelaya F., Carpenter T.A., Brammer M. Colored noise and computational inference in neurophysiological (fMRI) time series analysis: resampling methods in time and wavelet domains. Hum. Brain Mapp. 2001, 12(2):61-78.
    • (2001) Hum. Brain Mapp. , vol.12 , Issue.2 , pp. 61-78
    • Bullmore, E.1    Long, C.2    Suckling, J.3    Fadili, J.4    Calvert, G.5    Zelaya, F.6    Carpenter, T.A.7    Brammer, M.8
  • 9
    • 80051748187 scopus 로고    scopus 로고
    • Dynamic causal modelling: a critical review of the biophysical and statistical foundations
    • Daunizeau J., David O., Stephan K.E. Dynamic causal modelling: a critical review of the biophysical and statistical foundations. Neuroimage 2011, 58(2):312-322.
    • (2011) Neuroimage , vol.58 , Issue.2 , pp. 312-322
    • Daunizeau, J.1    David, O.2    Stephan, K.E.3
  • 11
    • 44149095492 scopus 로고    scopus 로고
    • Analyzing information flow in brain networks with nonparametric Granger causality
    • Dhamala M., Rangarajan G., Ding M. Analyzing information flow in brain networks with nonparametric Granger causality. Neuroimage 2008, 41(2):354-362.
    • (2008) Neuroimage , vol.41 , Issue.2 , pp. 354-362
    • Dhamala, M.1    Rangarajan, G.2    Ding, M.3
  • 13
    • 0141447299 scopus 로고    scopus 로고
    • The Wilson-Burg method of spectral factorization with application to helical filtering
    • Fomel S., Sava P., James Rickett J., Claerbout J.F. The Wilson-Burg method of spectral factorization with application to helical filtering. Geophys. Prospect. 2003, 51:409-420.
    • (2003) Geophys. Prospect. , vol.51 , pp. 409-420
    • Fomel, S.1    Sava, P.2    James Rickett, J.3    Claerbout, J.F.4
  • 15
  • 16
    • 84875866518 scopus 로고    scopus 로고
    • Analysing connectivity with Granger causality and dynamic causal modelling
    • Friston K., Moran R., Seth A.K. Analysing connectivity with Granger causality and dynamic causal modelling. Curr. Opin. Neurobiol. 2013, 23(2):172-178.
    • (2013) Curr. Opin. Neurobiol. , vol.23 , Issue.2 , pp. 172-178
    • Friston, K.1    Moran, R.2    Seth, A.K.3
  • 17
    • 84894912254 scopus 로고
    • Measurement of linear dependence and feedback between multiple time series
    • Geweke J. Measurement of linear dependence and feedback between multiple time series. J. Am. Stat. Assoc. 1982, 77:304-313.
    • (1982) J. Am. Stat. Assoc. , vol.77 , pp. 304-313
    • Geweke, J.1
  • 18
    • 0000351727 scopus 로고
    • Investigating causal relations by econometric models and cross-spectral method
    • Granger C.W.J. Investigating causal relations by econometric models and cross-spectral method. Econometrica 1969, 37:424-438.
    • (1969) Econometrica , vol.37 , pp. 424-438
    • Granger, C.W.J.1
  • 19
    • 19444371087 scopus 로고    scopus 로고
    • Will a large complex system with time delays be stable?
    • Jirsa V.K., Ding M. Will a large complex system with time delays be stable?. Phys. Rev. Lett. 2004, 93(7):070602.
    • (2004) Phys. Rev. Lett. , vol.93 , Issue.7 , pp. 070602
    • Jirsa, V.K.1    Ding, M.2
  • 20
    • 34248176808 scopus 로고    scopus 로고
    • Dynamic causal modelling of evoked responses: the role of intrinsic connections
    • Kiebel S.J., Garrido M.I., Friston K.J. Dynamic causal modelling of evoked responses: the role of intrinsic connections. Neuroimage 2007, 36(2):332-345.
    • (2007) Neuroimage , vol.36 , Issue.2 , pp. 332-345
    • Kiebel, S.J.1    Garrido, M.I.2    Friston, K.J.3
  • 21
    • 81255172245 scopus 로고    scopus 로고
    • TRENTOOL: a Matlab open source toolbox to analyse information flow in time series data with transfer entropy
    • Lindner M., Vicente R., Priesemann V., Wibral M. TRENTOOL: a Matlab open source toolbox to analyse information flow in time series data with transfer entropy. BMC Neurosci. 2011, 12:119.
    • (2011) BMC Neurosci. , vol.12 , pp. 119
    • Lindner, M.1    Vicente, R.2    Priesemann, V.3    Wibral, M.4
  • 22
    • 79951520640 scopus 로고    scopus 로고
    • Distinct superficial and deep laminar domains of activity in the visual cortex during rest and stimulation
    • Maier A., Adams G.K., Aura C., Leopold D.A. Distinct superficial and deep laminar domains of activity in the visual cortex during rest and stimulation. Front. Syst. Neurosci. 2010, 4:31. 10.3389/fnsys.2010.00031.
    • (2010) Front. Syst. Neurosci. , vol.4 , pp. 31
    • Maier, A.1    Adams, G.K.2    Aura, C.3    Leopold, D.A.4
  • 25
    • 68349139409 scopus 로고    scopus 로고
    • Analyzing multiple spike trains with nonparametric Granger causality
    • Nedungadi A.G., Rangarajan G., Jain N., Ding M. Analyzing multiple spike trains with nonparametric Granger causality. J. Comput. Neurosci. 2009, 27(1):55-64.
    • (2009) J. Comput. Neurosci. , vol.27 , Issue.1 , pp. 55-64
    • Nedungadi, A.G.1    Rangarajan, G.2    Jain, N.3    Ding, M.4
  • 26
    • 0008994404 scopus 로고
    • Feedback induced by measurement errors
    • Newbold P. Feedback induced by measurement errors. Int. Econ. Rev. 1978, 19:787-791.
    • (1978) Int. Econ. Rev. , vol.19 , pp. 787-791
    • Newbold, P.1
  • 29
    • 4444303207 scopus 로고    scopus 로고
    • Estimation of multiscale neurophysiologic parameters by electroencephalographic means
    • Robinson P.A., Rennie C.J., Rowe D.L., OConnor S.C. Estimation of multiscale neurophysiologic parameters by electroencephalographic means. Hum. Brain Mapp. 2004, 23(1):53-72.
    • (2004) Hum. Brain Mapp. , vol.23 , Issue.1 , pp. 53-72
    • Robinson, P.A.1    Rennie, C.J.2    Rowe, D.L.3    O'Connor, S.C.4
  • 31
    • 33749684136 scopus 로고    scopus 로고
    • Self-organized criticality and scale-free properties in emergent functional neural networks
    • Shin C.W., Kim S. Self-organized criticality and scale-free properties in emergent functional neural networks. Phys. Rev. E Stat. Nonlinear Soft Matter Phys. 2006, 74(4 Pt 2):45101.
    • (2006) Phys. Rev. E Stat. Nonlinear Soft Matter Phys. , vol.74 , Issue.4 , pp. 45101
    • Shin, C.W.1    Kim, S.2
  • 34
    • 2942605726 scopus 로고    scopus 로고
    • Scale-free dynamics of global functional connectivity in the human brain
    • Stam C.J., de Bruin E.A. Scale-free dynamics of global functional connectivity in the human brain. Hum. Brain Mapp. 2004, 22(2):97-109.
    • (2004) Hum. Brain Mapp. , vol.22 , Issue.2 , pp. 97-109
    • Stam, C.J.1    de Bruin, E.A.2
  • 35
    • 84863874571 scopus 로고    scopus 로고
    • Improved measures of phase-coupling between spikes and the Local Field Potential
    • (Aug)
    • Vinck M., Battaglia F.P., Womelsdorf T., Pennartz C. Improved measures of phase-coupling between spikes and the Local Field Potential. J. Comput. Neurosci. 2012, 33(1):53-75. (Aug).
    • (2012) J. Comput. Neurosci. , vol.33 , Issue.1 , pp. 53-75
    • Vinck, M.1    Battaglia, F.P.2    Womelsdorf, T.3    Pennartz, C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.