1. Engel J Jr. Outcome with respect to epileptic seizures. Surgical Treatment of the Epilepsies, 1993: 609-621.
[2]
2. Ansari-Asl K, Senhadji L, Bellanger J J, et al. Quantitative evaluation of linear and nonlinear methods characterizing interdependencies between brain signals. Phys Rev E Stat Nonlin Soft Matter Phys, 2006, 74(3 Pt 1): 031916.
[3]
3. Wiener N. The theory of prediction. Modern Mathematics for Engineers, 1956: 125-139.
[4]
4. Granger C W. Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 1969, 37(3): 424-438.
[5]
5. Kayser A S, Sun F T, D'Esposito M. A comparison of Granger causality and coherency in fMRI-based analysis of the motor system. Hum Brain Mapp, 2009, 30(11): 3475-3494.
[6]
6. Cadotte A J, DeMarse T B, Mareci T H, et al. Granger causality relationships between local field potentials in an animal model of temporal lobe epilepsy. J Neurosci Methods, 2010, 189(1): 121-129.
[7]
7. Bressler S L, Seth A K. Wiener-Granger causality: a well established methodology. Neuroimage, 2011, 58(2): 323-329.
[8]
8. Akaike H. Information theory and an extension of the maximum likelihood principle//Petrov B N, Caski F. Proceedings of the Second International Symposium on Information Theory. Budapest: Akademiai Kiado, 1973: 267-281.
[9]
9. Yang Chunfeng, Le Bouquin Jeannes R, Bellanger J J, et al. A new strategy for model order identification and its application to transfer entropy for EEG signals analysis. IEEE Trans Biomed Eng, 2013, 60(5): 1318-1327.
[10]
10. Kariya T, Kurata H. Generalized least squares. Chichester: John Wiley & Sons, 2004.
[11]
11. Wendling F, Bellanger J J, Bartolomei F, et al. Relevance of nonlinear lumped-parameter models in the analysis of depth-EEG epileptic signals. Biol Cybern, 2000, 83(4): 367-378.
[12]
12. Wendling F, Hernandez A, Bellanger J J, et al. Interictal to ictal transition in human temporal lobe epilepsy: insights from a computational model of intracerebral EEG. J Clin Neurophysiol, 2005, 22(5): 343-356.
