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66. S. Khan, L. Nobili, R. Khatami, T. Loddenkemper, C. Cajochen, D.J. Dijk, S.H. Eriksson,
Circadian rhythm and epilepsy. Lancet Neurol. 17, 1098–1108 (2018)
67. I. Kiral-Kornek, S. Roy, E. Nurse, B. Mashford, P. Karoly, T. Carroll, D. Payne, S. Saha,
S. Baldassano, T. O’Brien, D. Grayden, M. Cook, D. Freestone, S. Harrer, Epileptic seizure
prediction using big data and deep learning: toward a mobile system. EBioMedicine 27,
103–111 (2018)
68. M.J. Koepp, L. Caciagli, R.M. Pressler, K. Lehnertz, S. Beniczky, Reflex seizures, traits, and
epilepsies: from physiology to pathology. Lancet Neurol. 15, 92–105 (2016)
69. M.A.S. Kolarijani, S. Amirsalari, M.R. Haidari, Analysis of variations of correlation dimension and nonlinear interdependence for the prediction of pediatric myoclonic seizures-a preliminary study. Epilepsy Res. 135, 102–114 (2017)
70. M.A. Kramer, E.D. Kolaczyk, H.E. Kirsch, Emergent network topology at seizure onset in
humans. Epilepsy Res. 79, 173–186 (2008). https://doi.org/10.1016/j.eplepsyres.2008.02.002
71. M.A. Kramer, W. Truccolo, U.T. Eden, K.Q. Lepage, L.R. Hochberg, E.N. Eskandar, J.R.
Madsen, J.W. Lee, A. Maheshwari, E. Halgren, C.J. Chu, S.S. Cash, Human seizures selfterminate across spatial scales via a critical transition. Proc. Natl. Acad. Sci. U.S.A. 109,
21116–21121 (2012). https://doi.org/10.1073/pnas.1210047110
72. T. Kreuz, R.G. Andrzejak, F. Mormann, A. Kraskov, H. Stögbauer, C.E. Elger, K. Lehnertz,
P. Grassberger, Measure profile surrogates: a method to validate the performance of epileptic
seizure prediction algorithms. Phys. Rev. E 69, 061915 (2004)
73. D. Krug, C.E. Elger, K. Lehnertz, A CNN-based synchronization analysis for epileptic seizure
prediction: inter- and intraindividual generalization properties, in 11th International Workshop on Cellular Neural Networks and Their Applications, ed. by D. Vilarino, D. Ferrer,
V. Brea Sanchez, (IEEE Press, Piscataway, NJ, 2008), pp. 92–95. https://doi.org/10.1109/
CNNA.2008.4588656
74. D. Krug, H. Osterhage, C.E. Elger, K. Lehnertz, Estimating nonlinear interdependences in
dynamical systems using cellular nonlinear networks. Phys. Rev. E 76, 041916 (2007)
75. L. Kuhlmann, D. Freestone, A.L. Lai, A.N. Burkitt, K. Fuller, D. Grayden, L. Seiderer, S.
Vogrin, I.M.Y. Mareels, M.J. Cook, Patient-specific bivariate-synchrony-based seizure prediction for short prediction horizons. Epilepsy Res. 91, 214–231 (2010). https://doi.org/10.
1016/j.eplepsyres.2010.07.014
76. L. Kuhlmann, P. Karoly, D.R. Freestone, B.H. Brinkmann, A. Temko, A. Barachant, F. Li, G.
Titericz Jr, B.W. Lang, D. Lavery, et al, Epilepsyecosystem.org: crowd-sourcing reproducible
seizure prediction with long-term human intracranial EEG. Brain 141, 2619–2630 (2018)
77. L. Kuhlmann, K. Lehnertz, M.P. Richardson, B. Schelter, H.P. Zaveri, Seizure prediction–
ready for a new era. Nat. Rev. Neurol. 14, 618 (2018)
78. M.T. Kuhnert, C.E. Elger, K. Lehnertz, Long-term variability of global statistical properties
of epileptic brain networks. Chaos 20, 043126 (2010). https://doi.org/10.1063/1.3504998
79. M. Laiho, A. Paasio, A. Kananen, K. Halonen, A mixed-mode polynomial-type CNN for
analysing brain electrical activity in epilepsy. Int. J. Circ. Theor. Appl. 2–3, 165–180 (2002)
80. G. Lancaster, D. Iatsenko, A. Pidde, V. Ticcinelli, A. Stefanovska, Surrogate data for hypothesis testing of physical systems. Phys. Rep. 748, 1–60 (2018)
81. M. Langdon-Down, W.R. Brain, Time of day in relation to convulsions in epilepsy. Lancet
213, 1029–1032 (1929)
82. K. Lehnertz, G. Ansmann, S. Bialonski, H. Dickten, C. Geier, S. Porz, Evolving networks in
the human epileptic brain. Phys. D 267, 7–15 (2014). https://doi.org/10.1016/j.physd.2013.
06.009
83. K. Lehnertz, S. Bialonski, M.T. Horstmann, D. Krug, A. Rothkegel, M. Staniek, T. Wagner,
Synchronization phenomena in human epileptic brain networks. J. Neurosci. Methods 183,
42–48 (2009). https://doi.org/10.1016/j.jneumeth.2009.05.015
84. K. Lehnertz, H. Dickten, Assessing directionality and strength of coupling through symbolic
analysis: an application to epilepsy patients. Phil. Trans. R. Soc. A 373, 20140094 (2015).
https://doi.org/10.1098/rsta.2014.0094
K. Lehnertz
66. S. Khan, L. Nobili, R. Khatami, T. Loddenkemper, C. Cajochen, D.J. Dijk, S.H. Eriksson,
Circadian rhythm and epilepsy. Lancet Neurol. 17, 1098–1108 (2018)
67. I. Kiral-Kornek, S. Roy, E. Nurse, B. Mashford, P. Karoly, T. Carroll, D. Payne, S. Saha,
S. Baldassano, T. O’Brien, D. Grayden, M. Cook, D. Freestone, S. Harrer, Epileptic seizure
prediction using big data and deep learning: toward a mobile system. EBioMedicine 27,
103–111 (2018)
68. M.J. Koepp, L. Caciagli, R.M. Pressler, K. Lehnertz, S. Beniczky, Reflex seizures, traits, and
epilepsies: from physiology to pathology. Lancet Neurol. 15, 92–105 (2016)
69. M.A.S. Kolarijani, S. Amirsalari, M.R. Haidari, Analysis of variations of correlation dimension and nonlinear interdependence for the prediction of pediatric myoclonic seizures-a preliminary study. Epilepsy Res. 135, 102–114 (2017)
70. M.A. Kramer, E.D. Kolaczyk, H.E. Kirsch, Emergent network topology at seizure onset in
humans. Epilepsy Res. 79, 173–186 (2008). https://doi.org/10.1016/j.eplepsyres.2008.02.002
71. M.A. Kramer, W. Truccolo, U.T. Eden, K.Q. Lepage, L.R. Hochberg, E.N. Eskandar, J.R.
Madsen, J.W. Lee, A. Maheshwari, E. Halgren, C.J. Chu, S.S. Cash, Human seizures selfterminate across spatial scales via a critical transition. Proc. Natl. Acad. Sci. U.S.A. 109,
21116–21121 (2012). https://doi.org/10.1073/pnas.1210047110
72. T. Kreuz, R.G. Andrzejak, F. Mormann, A. Kraskov, H. Stögbauer, C.E. Elger, K. Lehnertz,
P. Grassberger, Measure profile surrogates: a method to validate the performance of epileptic
seizure prediction algorithms. Phys. Rev. E 69, 061915 (2004)
73. D. Krug, C.E. Elger, K. Lehnertz, A CNN-based synchronization analysis for epileptic seizure
prediction: inter- and intraindividual generalization properties, in 11th International Workshop on Cellular Neural Networks and Their Applications, ed. by D. Vilarino, D. Ferrer,
V. Brea Sanchez, (IEEE Press, Piscataway, NJ, 2008), pp. 92–95. https://doi.org/10.1109/
CNNA.2008.4588656
74. D. Krug, H. Osterhage, C.E. Elger, K. Lehnertz, Estimating nonlinear interdependences in
dynamical systems using cellular nonlinear networks. Phys. Rev. E 76, 041916 (2007)
75. L. Kuhlmann, D. Freestone, A.L. Lai, A.N. Burkitt, K. Fuller, D. Grayden, L. Seiderer, S.
Vogrin, I.M.Y. Mareels, M.J. Cook, Patient-specific bivariate-synchrony-based seizure prediction for short prediction horizons. Epilepsy Res. 91, 214–231 (2010). https://doi.org/10.
1016/j.eplepsyres.2010.07.014
76. L. Kuhlmann, P. Karoly, D.R. Freestone, B.H. Brinkmann, A. Temko, A. Barachant, F. Li, G.
Titericz Jr, B.W. Lang, D. Lavery, et al, Epilepsyecosystem.org: crowd-sourcing reproducible
seizure prediction with long-term human intracranial EEG. Brain 141, 2619–2630 (2018)
77. L. Kuhlmann, K. Lehnertz, M.P. Richardson, B. Schelter, H.P. Zaveri, Seizure prediction–
ready for a new era. Nat. Rev. Neurol. 14, 618 (2018)
78. M.T. Kuhnert, C.E. Elger, K. Lehnertz, Long-term variability of global statistical properties
of epileptic brain networks. Chaos 20, 043126 (2010). https://doi.org/10.1063/1.3504998
79. M. Laiho, A. Paasio, A. Kananen, K. Halonen, A mixed-mode polynomial-type CNN for
analysing brain electrical activity in epilepsy. Int. J. Circ. Theor. Appl. 2–3, 165–180 (2002)
80. G. Lancaster, D. Iatsenko, A. Pidde, V. Ticcinelli, A. Stefanovska, Surrogate data for hypothesis testing of physical systems. Phys. Rep. 748, 1–60 (2018)
81. M. Langdon-Down, W.R. Brain, Time of day in relation to convulsions in epilepsy. Lancet
213, 1029–1032 (1929)
82. K. Lehnertz, G. Ansmann, S. Bialonski, H. Dickten, C. Geier, S. Porz, Evolving networks in
the human epileptic brain. Phys. D 267, 7–15 (2014). https://doi.org/10.1016/j.physd.2013.
06.009
83. K. Lehnertz, S. Bialonski, M.T. Horstmann, D. Krug, A. Rothkegel, M. Staniek, T. Wagner,
Synchronization phenomena in human epileptic brain networks. J. Neurosci. Methods 183,
42–48 (2009). https://doi.org/10.1016/j.jneumeth.2009.05.015
84. K. Lehnertz, H. Dickten, Assessing directionality and strength of coupling through symbolic
analysis: an application to epilepsy patients. Phil. Trans. R. Soc. A 373, 20140094 (2015).
https://doi.org/10.1098/rsta.2014.0094