Preictal directed interactions in epileptic brain networks

Epilepsy: The Intersection of Neurosciences, Biology, Mathematics, Engineering, and Physics

Volumn , Issue , 2016, Pages 265-272

  Lehnertz, Klaus ^a   Krug, Dieter ^a   Staniek, Matthäus ^a   Glüsenkamp, Dennis ^a   Elger, Christian E ^a  

^a UNIVERSITY OF BONN   (Germany)

Author keywords

[No Author keywords available]

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EID: 84884957756     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (37)

1. Andrzejak, R.G., F. Mormann, T. Kreuz, C. Rieke, A. Kraskov, C.E. Elger, and K. Lehnertz. 2003. Testing the null hypothesis of the nonexistence of a preseizure state. Phys. Rev. E 67:010901(R).
2. Ansari-Asl, K., L. Senhadji, J.-J. Bellanger, and F. Wendling. 2006. Quantitative evaluation of linear and nonlinear methods characterizing interdependencies between brain signals. Phys. Rev. E 74:031916.
3. Arnhold, J., P. Grassberger, K. Lehnertz, and C.E. Elger. 1999. A robust method for detecting interdependences: Application to intracranially recorded EEG. Physica D 134:419-430.
4. Bandt, C., and B. Pompe. 2002. Permutation entropy: A natural complexity measure for time series. Phys. Rev. Lett. 88:174102.
5. Boccaletti, S., J. Kurths, G. Osipov, D.L. Valladares, and C.S. Zhou. 2002. The synchronization of chaotic systems. Phys. Rep. 366:1-101.
6. Buzsáki, G. 2006. Rhythms of the brain. New York: Oxford University Press, USA.
7. Chernihovskyi, A., D. Krug, C.E. Elger, and K. Lehnertz. 2008. Time series analysis with cellular neural networks. In Seizure prediction in epilepsy. From basic mechanisms to clinical applications, B. Schelter, J. Timmer, and A. Schulze-Bonhage, eds., 131-148. New York: Wiley-VCH.
8. Chicharro, D., and R.G. Andrzejak. 2009. Reliable detection of directional couplings using rank statistics. Phys. Rev. E 80:026217.
9. Chua, L.O. 1998. CNN: A paradigm for complexity. Singapore: World Scientific.
10. Daw, C., C. Finney, and E. Tracy. 2003. A review of symbolic analysis of experimental data. Rev. Sci. Instrum. 74:915-930.
11. Glüsenkamp, D. 2009. Messung direktionaler Abhängigkeiten in dynamischen Systemen mit Zellularen Nichtlinearen Netzen (in German), Diploma thesis, Dept. of Epileptology and Helmholtz-Institute for Radiation and Nuclear Physics, University of Bonn.
12. Granger, C. 1969. Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37:424-438.
13. Hao, B.L. 1989. Elementary symbolic dynamics and chaos in dissipative systems. Singapore: World Scientific.
14. Hlavácková-Schindler, K., M. Paluš, M. Vejmelka, and J. Bhattacharya. 2007. Causality detection based on information-theoretic approaches in time series analysis. Phys. Rep. 441:1-46.
15. Kaiser, A., and T. Schreiber. 2002. Information transfer in continuous processes. Physica D 166:43-62.
16. Krug, D., A. Chernihovsky, H. Osterhage, C.E. Elger, and K. Lehnertz. 2006. Estimating generalized synchronization in brain electrical activity from epilepsy patients with cellular nonlinear networks. In Proceedings of the 2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications. V. Tavsanoglu and S. Arik, eds. Piscataway, NJ: IEEE Press.
17. Krug, D., C.E. Elger, and K. Lehnertz. 2008. A CNN-based synchronization analysis for epileptic seizure prediction: Inter- and intraindividual generalization properties. In Proceedings of the 2008 11th International Workshop on Cellular Neural Networks and their Applications. D.L. Vilarino, D.C. Ferrer, and V.M.B. Sanchez, eds. Piscataway, NJ: IEEE Press.
18. Krug, D., H. Osterhage, C.E. Elger, and K. Lehnertz. 2007. Estimating nonlinear interdependences in dynamical systems using cellular nonlinear networks. Phys. Rev. E 76:041916.
19. Lehnertz, K., S. Bialonski, M.-T. Horstmann, D. Krug, A. Rothkegel, M. Staniek, and T. Wagner. 2009. Synchronization phenomena in human epileptic brain networks. J. Neurosci. Methods. 183:42-48.
20. Lehnertz, K., M. Le Van Quyen, and B. Litt. 2007. Seizure prediction. In Epilepsy: A comprehensive textbook, 2nd ed. J. Engel Jr. and T.A. Pedley, eds., 1011-1024. Philadelphia: Lippincott, Williams & Wilkins.
21. Lungarella, M., A. Pitti, and Y. Kuniyoshi. 2007. Information transfer at multiple scales. Phys. Rev. E 76:056117.
22. Mormann, F., R. Andrzejak, C.E. Elger, and K. Lehnertz. 2007. Seizure prediction: The long and winding road. Brain 130:314-333.
23. Mormann, F., T. Kreuz, C. Rieke, R.G. Andrzejak, A. Kraskov, P. David, C.E. Elger, and K. Lehnertz. 2005. On the predictability of epileptic seizures. Clin. Neurophysiol. 116:569-587.
24. Osterhage, H., S. Bialonski, M. Staniek, K. Schindler, T. Wagner, C.E. Elger, and K. Lehnertz. 2008. Bivariate and multivariate time series analysis techniques and their potential impact for seizure prediction. In Seizure prediction in epilepsy. From basic mechanisms to clinical applications. B. Schelter, J. Timmer, and A. Schulze-Bonhage, eds., 189-208. Weinheim: Wiley-VCH.
25. Osterhage, H., F. Mormann, T. Wagner, and K. Lehnertz. 2007. Measuring the directionality of coupling: Phase versus state space dynamics and application to EEG time series. Int. J. Neural. Syst. 17:139-148.
26. Pereda, E., R. Quian Quiroga, and J. Bhattacharya. 2005. Nonlinear multivariate analysis of neurophysiological signals. Prog. Neurobiol. 77:1-37.
27. Pikovsky, A.S., M.G. Rosenblum, and J. Kurths. 2001. Synchronization: A universal concept in nonlinear sciences. Cambridge: Cambridge University Press.
28. Quian Quiroga, R., A. Kraskov, T. Kreuz, and P. Grassberger. 2002. Performance of different synchronization measures in real data: A case study on electroencephalographic signals, Phys. Rev. E 65:041903.
29. Schnitzler, A., and J. Gross. 2005. Normal and pathological oscillatory communication in the brain. Nat. Rev. Neurosci. 6:285-296.
30. Schreiber, T. 2000. Measuring information transfer. Phys. Rev. Lett. 85:461-464.
31. Sowa, R., A. Chernihovskyi, F. Mormann, and K. Lehnertz. 2005. Estimating phase synchronization in dynamical systems using cellular nonlinear networks. Phys. Rev. E 71:061926.
32. Stam, C.J. 2005. Nonlinear dynamical analysis of EEG and MEG: Review of an emerging field. Clin. Neurophysiol. 116:2266-2301.
33. Staniek, M., and K. Lehnertz. 2008. Symbolic transfer entropy. Phys. Rev. Lett. 100:158101.
34. Takens, F. 1981. Detecting strange attractors in turbulence. In Dynamical systems and turbulence (Warwick 1980), Vol. 898 of Lecture notes in mathematics, D.A. Rand and L.-S. Young, eds., 366-381. Berlin: Springer-Verlag.
35. Uhlhaas, P.J., and W. Singer, 2006. Neural synchrony in brain disorders: Relevance for cognitive dysfunctions and pathophysiology. Neuron 52:155-168.
36. Verdes, P.F. 2005. Assessing causality from multivariate time series. Phys. Rev. E 72:026222.
37. Wang, L. 2007. Detection of complexity changes in dynamical systems with symbolic analysis and cellular neural networks. Diploma thesis, Dept. of Epileptology and Helmholtz-Institute for Radiation and Nuclear Physics, University of Bonn.