22 Predicting Epileptic Seizures—An Update
359
epilepsy patients. IEEE Trans. Biomed. Eng. 50, 634–639 (2003). https://doi.org/10.1109/
TBME.2003.810684
130. C. Rieke, K. Sternickel, R.G. Andrzejak, C.E. Elger, P. David, K. Lehnertz, Measuring nonstationarity by analyzing the loss of recurrence in dynamical systems. Phys. Rev. Lett. 88,
244102 (2002)
131. T. Rings, M. Mazarei, A. Akhshi, C. Geier, M.R.R. Tabar, K. Lehnertz, Traceability and
dynamical resistance of precursor of extreme events. Sci. Rep. 9, 1744 (2019)
132. T. Rings, R. von Wrede, K. Lehnertz, Precursors of seizures due to specific spatial-temporal
modifications of evolving large-scale epileptic brain networks. Sci. Rep. 9, 10623 (2019)
133. P. Ritchie, J. Sieber, Probability of noise-and rate-induced tipping. Phys. Rev. E 95, 052209
(2017)
134. F. Rosenow, H. Lüders, Presurgical evaluation of epilepsy. Brain 124, 1683–1700 (2001).
https://doi.org/10.1093/brain/124.9.1683
135. B. Schelter, M. Winterhalder, M. Eichler, M. Peifer, B. Hellwig, B. Guschlbauer, C.H. Lücking,
R. Dahlhaus, J. Timmer, Testing for directed influences among neural signals using partial
directed coherence. J. Neurosci. Methods 152, 210–219 (2006)
136. B. Schelter, M. Winterhalder, T. Maiwald, A. Brandt, A. Schad, A. Schulze-Bonhage, J.
Timmer, Testing statistical significance of multivariate time series analysis techniques for
epileptic seizure prediction. Chaos 16, 013108 (2006)
137. B. Schelter, M. Winterhalder, T. Maiwald, A. Brandt, A. Schad, J. Timmer, A. SchulzeBonhage, Do false predictions of seizures depend on the state of vigilance? a report from two
seizure-prediction methods and proposed remedies. Epilepsia 47, 2058–2070 (2006)
138. K. Schindler, S. Bialonski, M.T. Horstmann, C.E. Elger, K. Lehnertz, Evolving functional
network properties and synchronizability during human epileptic seizures. Chaos 18, 033119
(2008). https://doi.org/10.1063/1.2966112
139. K. Schindler, C.E. Elger, K. Lehnertz, Increasing synchronization may promote seizure termination: evidence from status epilepticus. Clin. Neurophysiol. 118, 1955–1968 (2007). https://
doi.org/10.1016/j.clinph.2007.06.006
140. K. Schindler, H. Leung, C.E. Elger, K. Lehnertz, Assessing seizure dynamics by analysing
the correlation structure of multichannel intracranial EEG. Brain 130, 65–77 (2007). https://
doi.org/10.1093/brain/awl304
141. T. Schreiber, A. Schmitz, Surrogate time series. Phys. D 142, 346–382 (2000). https://doi.
org/10.1016/S0167-2789(00)00043-9
142. A. Schulze-Bonhage, Brain stimulation as a neuromodulatory epilepsy therapy. Seizure 44,
169–175 (2017)
143. A. Schulze-Bonhage, From moon to earth–ultradian cycles in brain excitability. Lancet Neurol. 17, 930–932 (2018)
144. A.K. Seth, A.B. Barrett, L. Barnett, Granger causality analysis in neuroscience and neuroimaging. J. Neurosci. 35, 3293–3297 (2015)
145. S. Singh, S. Sandy, S. Wiebe, Ictal onset on intracranial EEG: do we know it when we see it?
state of the evidence. Epilepsia 56, 1629–1638 (2015)
146. D.E. Snyder, J. Echauz, D.B. Grimes, B. Litt, The statistics of a practical seizure warning
system. J. Neural Eng. 5, 392–401 (2008)
147. R. Sowa, A. Chernihovskyi, F. Mormann, K. Lehnertz, Estimating phase synchronization in
dynamical systems using cellular nonlinear networks. Phys. Rev. E 71, 061926 (2005)
148. S.S. Spencer, Neural networks in human epilepsy: evidence of and implications for treatment.
Epilepsia 43, 219–227 (2002). https://doi.org/10.1046/j.1528-1157.2002.26901.x
149. S.S. Spencer, P.D. Williamson, S.L. Bridgers, R.H. Mattson, D.V. Cicchetti, D.D. Spencer,
Reliability and accuracy of localization by scalp ictal EEG. Neurology 35, 1567 (1985)
150. W.C. Stacey, Seizure prediction is possible-now let’s make it practical. EBioMedicine 27, 3–4
(2018)
151. T. Stankovski, T. Pereira, P.V.E. McClintock, A. Stefanovska, Coupling functions: universal
insights into dynamical interaction mechanisms. Rev. Mod. Phys. 89, 045001 (2017). https://
doi.org/10.1103/RevModPhys.89.045001
359
epilepsy patients. IEEE Trans. Biomed. Eng. 50, 634–639 (2003). https://doi.org/10.1109/
TBME.2003.810684
130. C. Rieke, K. Sternickel, R.G. Andrzejak, C.E. Elger, P. David, K. Lehnertz, Measuring nonstationarity by analyzing the loss of recurrence in dynamical systems. Phys. Rev. Lett. 88,
244102 (2002)
131. T. Rings, M. Mazarei, A. Akhshi, C. Geier, M.R.R. Tabar, K. Lehnertz, Traceability and
dynamical resistance of precursor of extreme events. Sci. Rep. 9, 1744 (2019)
132. T. Rings, R. von Wrede, K. Lehnertz, Precursors of seizures due to specific spatial-temporal
modifications of evolving large-scale epileptic brain networks. Sci. Rep. 9, 10623 (2019)
133. P. Ritchie, J. Sieber, Probability of noise-and rate-induced tipping. Phys. Rev. E 95, 052209
(2017)
134. F. Rosenow, H. Lüders, Presurgical evaluation of epilepsy. Brain 124, 1683–1700 (2001).
https://doi.org/10.1093/brain/124.9.1683
135. B. Schelter, M. Winterhalder, M. Eichler, M. Peifer, B. Hellwig, B. Guschlbauer, C.H. Lücking,
R. Dahlhaus, J. Timmer, Testing for directed influences among neural signals using partial
directed coherence. J. Neurosci. Methods 152, 210–219 (2006)
136. B. Schelter, M. Winterhalder, T. Maiwald, A. Brandt, A. Schad, A. Schulze-Bonhage, J.
Timmer, Testing statistical significance of multivariate time series analysis techniques for
epileptic seizure prediction. Chaos 16, 013108 (2006)
137. B. Schelter, M. Winterhalder, T. Maiwald, A. Brandt, A. Schad, J. Timmer, A. SchulzeBonhage, Do false predictions of seizures depend on the state of vigilance? a report from two
seizure-prediction methods and proposed remedies. Epilepsia 47, 2058–2070 (2006)
138. K. Schindler, S. Bialonski, M.T. Horstmann, C.E. Elger, K. Lehnertz, Evolving functional
network properties and synchronizability during human epileptic seizures. Chaos 18, 033119
(2008). https://doi.org/10.1063/1.2966112
139. K. Schindler, C.E. Elger, K. Lehnertz, Increasing synchronization may promote seizure termination: evidence from status epilepticus. Clin. Neurophysiol. 118, 1955–1968 (2007). https://
doi.org/10.1016/j.clinph.2007.06.006
140. K. Schindler, H. Leung, C.E. Elger, K. Lehnertz, Assessing seizure dynamics by analysing
the correlation structure of multichannel intracranial EEG. Brain 130, 65–77 (2007). https://
doi.org/10.1093/brain/awl304
141. T. Schreiber, A. Schmitz, Surrogate time series. Phys. D 142, 346–382 (2000). https://doi.
org/10.1016/S0167-2789(00)00043-9
142. A. Schulze-Bonhage, Brain stimulation as a neuromodulatory epilepsy therapy. Seizure 44,
169–175 (2017)
143. A. Schulze-Bonhage, From moon to earth–ultradian cycles in brain excitability. Lancet Neurol. 17, 930–932 (2018)
144. A.K. Seth, A.B. Barrett, L. Barnett, Granger causality analysis in neuroscience and neuroimaging. J. Neurosci. 35, 3293–3297 (2015)
145. S. Singh, S. Sandy, S. Wiebe, Ictal onset on intracranial EEG: do we know it when we see it?
state of the evidence. Epilepsia 56, 1629–1638 (2015)
146. D.E. Snyder, J. Echauz, D.B. Grimes, B. Litt, The statistics of a practical seizure warning
system. J. Neural Eng. 5, 392–401 (2008)
147. R. Sowa, A. Chernihovskyi, F. Mormann, K. Lehnertz, Estimating phase synchronization in
dynamical systems using cellular nonlinear networks. Phys. Rev. E 71, 061926 (2005)
148. S.S. Spencer, Neural networks in human epilepsy: evidence of and implications for treatment.
Epilepsia 43, 219–227 (2002). https://doi.org/10.1046/j.1528-1157.2002.26901.x
149. S.S. Spencer, P.D. Williamson, S.L. Bridgers, R.H. Mattson, D.V. Cicchetti, D.D. Spencer,
Reliability and accuracy of localization by scalp ictal EEG. Neurology 35, 1567 (1985)
150. W.C. Stacey, Seizure prediction is possible-now let’s make it practical. EBioMedicine 27, 3–4
(2018)
151. T. Stankovski, T. Pereira, P.V.E. McClintock, A. Stefanovska, Coupling functions: universal
insights into dynamical interaction mechanisms. Rev. Mod. Phys. 89, 045001 (2017). https://
doi.org/10.1103/RevModPhys.89.045001