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Journal Abstract Search
555 related items for PubMed ID: 20202481
1. Wiener-Granger causality: a well established methodology. Bressler SL, Seth AK. Neuroimage; 2011 Sep 15; 58(2):323-9. PubMed ID: 20202481 [Abstract] [Full Text] [Related]
3. Time, frequency, and time-varying Granger-causality measures in neuroscience. Cekic S, Grandjean D, Renaud O. Stat Med; 2018 May 20; 37(11):1910-1931. PubMed ID: 29542141 [Abstract] [Full Text] [Related]
4. A copula approach to assessing Granger causality. Hu M, Liang H. Neuroimage; 2014 Oct 15; 100():125-34. PubMed ID: 24945669 [Abstract] [Full Text] [Related]
5. Analyzing the connectivity between regions of interest: an approach based on cluster Granger causality for fMRI data analysis. Sato JR, Fujita A, Cardoso EF, Thomaz CE, Brammer MJ, Amaro E. Neuroimage; 2010 Oct 01; 52(4):1444-55. PubMed ID: 20472076 [Abstract] [Full Text] [Related]
6. A MATLAB toolbox for Granger causal connectivity analysis. Seth AK. J Neurosci Methods; 2010 Feb 15; 186(2):262-73. PubMed ID: 19961876 [Abstract] [Full Text] [Related]
7. Frequency decomposition of conditional Granger causality and application to multivariate neural field potential data. Chen Y, Bressler SL, Ding M. J Neurosci Methods; 2006 Jan 30; 150(2):228-37. PubMed ID: 16099512 [Abstract] [Full Text] [Related]
8. Inference of Granger causal time-dependent influences in noisy multivariate time series. Sommerlade L, Thiel M, Platt B, Plano A, Riedel G, Grebogi C, Timmer J, Schelter B. J Neurosci Methods; 2012 Jan 15; 203(1):173-85. PubMed ID: 21944999 [Abstract] [Full Text] [Related]
9. Testing for directed influences among neural signals using partial directed coherence. Schelter B, Winterhalder M, Eichler M, Peifer M, Hellwig B, Guschlbauer B, Lücking CH, Dahlhaus R, Timmer J. J Neurosci Methods; 2006 Apr 15; 152(1-2):210-9. PubMed ID: 16269188 [Abstract] [Full Text] [Related]
10. A graphical approach for evaluating effective connectivity in neural systems. Eichler M. Philos Trans R Soc Lond B Biol Sci; 2005 May 29; 360(1457):953-67. PubMed ID: 16087440 [Abstract] [Full Text] [Related]
11. Componential Granger causality, and its application to identifying the source and mechanisms of the top-down biased activation that controls attention to affective vs sensory processing. Ge T, Feng J, Grabenhorst F, Rolls ET. Neuroimage; 2012 Jan 16; 59(2):1846-58. PubMed ID: 21888980 [Abstract] [Full Text] [Related]
12. The MVGC multivariate Granger causality toolbox: a new approach to Granger-causal inference. Barnett L, Seth AK. J Neurosci Methods; 2014 Feb 15; 223():50-68. PubMed ID: 24200508 [Abstract] [Full Text] [Related]