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25. S. Boccaletti, V. Latora, Y. Moreno, M. Chavez, D.U. Hwang, Complex networks: structure
and dynamics. Phys. Rep. 424, 175–308 (2006). https://doi.org/10.1016/j.physrep.2005.10.
009
26. E. Bou Assi, D.K. Nguyen, S. Rihana, M. Sawan, Towards accurate prediction of epileptic
seizures: a review. Biomed. Sig. Proc. Control 34, 144–157 (2017)
27. M. Breakspear, Dynamic models of large-scale brain activity. Nat. Neurosci. 20, 340 (2017)
28. B.H. Brinkmann, J. Wagenaar, D. Abbot, P. Adkins, S.C. Bosshard, M. Chen, Q.M. Tieng, J.
He, F.J. Muñoz-Almaraz, P. Botella-Rocamora, J. Pardo, F. Zamora-Martinez, M. Hills, W.
Wu, I. Korshunova, W. Cukierski, C. Vite, E.E. Patterson, B. Litt, G.A. Worrell, Crowdsourcing reproducible seizure forecasting in human and canine epilepsy. Brain 139, 1713–1722
(2016). https://doi.org/10.1093/brain/aww045
29. E. Bruno, S. Simblett, A. Lang, A. Biondi, C. Odoi, A. Schulze-Bonhage, T. Wykes, M.P.
Richardson, Wearable technology in epilepsy: the views of patients, caregivers, and healthcare
professionals. Epilepsy Behav. 85, 141–149 (2018)
30. E. Bullmore, O. Sporns, Complex brain networks: graph theoretical analysis of structural and
functional systems. Nat. Rev. Neurosci. 10, 186–198 (2009). https://doi.org/10.1038/nrn2575
31. S.P. Burns, S. Santaniello, R.B. Yaffe, C.C. Jouny, N.E. Crone, G.K. Bergey, W.S. Anderson, S.V. Sarma, Network dynamics of the brain and influence of the epileptic seizure onset
zone. Proc. Natl. Acad. Sci. U.S.A. 111, E5321–E5330 (2014). https://doi.org/10.1073/pnas.
1401752111
32. P.R. Carney, S. Myers, J.D. Geyer, Seizure prediction: methods. Epilepsy Behav. 22, S94–
S101 (2011)
33. G.C. Carter, Coherence and time delay estimation. Proc. IEEE 75, 236–255 (1987)
34. S.S. Cash, L.R. Hochberg, The emergence of single neurons in clinical neurology. Neuron
86, 79–91 (2015). https://doi.org/10.1016/j.neuron.2015.03.058
35. Z. Chen, M.J. Brodie, D. Liew, P. Kwan, Treatment outcomes in patients with newly diagnosed
epilepsy treated with established and new antiepileptic drugs: a 30-year longitudinal cohort
study. JAMA Neurol. 75, 279–286 (2018)
36. D. Chicharro, R.G. Andrzejak, Reliable detection of directional couplings using rank statistics.
Phys. Rev. E 80, 026217 (2009). https://doi.org/10.1103/PhysRevE.80.026217
37. M.J. Cook, T.J. O’Brien, S.F. Berkovic, M. Murphy, A. Morokoff, G. Fabinyi, W. D’Souza,
R. Yerra, J. Archer, L. Litewka, S. Hosking, P. Lightfoot, V. Ruedebusch, W.D. Sheffield, D.
Snyder, K. Leyde, D. Himes, Prediction of seizure likelihood with a long-term, implanted
seizure advisory system in patients with drug-resistant epilepsy: a first-in-man study. Lancet
Neurol. 12, 563–571 (2013). https://doi.org/10.1016/S1474-4422(13)70075-9
38. P. Detti, G.Z.M. de Lara, R. Bruni, M. Pranzo, F. Sarnari, G. Vatti, A patient-specific approach
for short-term epileptic seizures prediction through the analysis of EEG synchronization. IEEE
Trans. Biomed. Eng. 66, 1494–1504 (2018)
39. D.J. DiLorenzo, K.W. Leyde, D. Kaplan, Neural state monitoring in the treatment of epilepsy:
seizure prediction–conceptualization to first-in-man study. Brain Sci. 9, 156 (2019)
40. J. Engel Jr., Report of the ILAE classification core group. Epilepsia 47, 1558–1568 (2006).
https://doi.org/10.1111/j.1528-1167.2006.00215.x
41. J. Engel Jr., The current place of epilepsy surgery. Curr. Opin. Neurol. 31, 192–197 (2018)
42. H. Feldwisch-Drentrup, M. Staniek, A. Schulze-Bonhage, J. Timmer, H. Dickten, C.E. Elger,
B. Schelter, K. Lehnertz, Identification of preseizure states in epilepsy: a data-driven approach
for multichannel EEG recordings. Front. Comput. Neurosci. 5, 32 (2011). https://doi.org/10.
3389/fncom.2011.00032
43. R.S. Fisher, W. van Emde Boas, W. Blume, C.E. Elger, P. Genton, P. Lee, J. Engel Jr., Epileptic
seizures and epilepsy: definitions proposed by the International League Against Epilepsy
(ILAE) and the International Bureau for Epilepsy (IBE). Epilepsia 46, 470–472 (2005). https://
doi.org/10.1111/j.0013-9580.2005.66104.x
44. K. Gadhoumi, J.M. Lina, J. Gotman, Seizure prediction in patients with mesial temporal lobe
epilepsy using EEG measures of state similarity. Clin. Neurophysiol. 124, 1745–1754 (2013)
K. Lehnertz
25. S. Boccaletti, V. Latora, Y. Moreno, M. Chavez, D.U. Hwang, Complex networks: structure
and dynamics. Phys. Rep. 424, 175–308 (2006). https://doi.org/10.1016/j.physrep.2005.10.
009
26. E. Bou Assi, D.K. Nguyen, S. Rihana, M. Sawan, Towards accurate prediction of epileptic
seizures: a review. Biomed. Sig. Proc. Control 34, 144–157 (2017)
27. M. Breakspear, Dynamic models of large-scale brain activity. Nat. Neurosci. 20, 340 (2017)
28. B.H. Brinkmann, J. Wagenaar, D. Abbot, P. Adkins, S.C. Bosshard, M. Chen, Q.M. Tieng, J.
He, F.J. Muñoz-Almaraz, P. Botella-Rocamora, J. Pardo, F. Zamora-Martinez, M. Hills, W.
Wu, I. Korshunova, W. Cukierski, C. Vite, E.E. Patterson, B. Litt, G.A. Worrell, Crowdsourcing reproducible seizure forecasting in human and canine epilepsy. Brain 139, 1713–1722
(2016). https://doi.org/10.1093/brain/aww045
29. E. Bruno, S. Simblett, A. Lang, A. Biondi, C. Odoi, A. Schulze-Bonhage, T. Wykes, M.P.
Richardson, Wearable technology in epilepsy: the views of patients, caregivers, and healthcare
professionals. Epilepsy Behav. 85, 141–149 (2018)
30. E. Bullmore, O. Sporns, Complex brain networks: graph theoretical analysis of structural and
functional systems. Nat. Rev. Neurosci. 10, 186–198 (2009). https://doi.org/10.1038/nrn2575
31. S.P. Burns, S. Santaniello, R.B. Yaffe, C.C. Jouny, N.E. Crone, G.K. Bergey, W.S. Anderson, S.V. Sarma, Network dynamics of the brain and influence of the epileptic seizure onset
zone. Proc. Natl. Acad. Sci. U.S.A. 111, E5321–E5330 (2014). https://doi.org/10.1073/pnas.
1401752111
32. P.R. Carney, S. Myers, J.D. Geyer, Seizure prediction: methods. Epilepsy Behav. 22, S94–
S101 (2011)
33. G.C. Carter, Coherence and time delay estimation. Proc. IEEE 75, 236–255 (1987)
34. S.S. Cash, L.R. Hochberg, The emergence of single neurons in clinical neurology. Neuron
86, 79–91 (2015). https://doi.org/10.1016/j.neuron.2015.03.058
35. Z. Chen, M.J. Brodie, D. Liew, P. Kwan, Treatment outcomes in patients with newly diagnosed
epilepsy treated with established and new antiepileptic drugs: a 30-year longitudinal cohort
study. JAMA Neurol. 75, 279–286 (2018)
36. D. Chicharro, R.G. Andrzejak, Reliable detection of directional couplings using rank statistics.
Phys. Rev. E 80, 026217 (2009). https://doi.org/10.1103/PhysRevE.80.026217
37. M.J. Cook, T.J. O’Brien, S.F. Berkovic, M. Murphy, A. Morokoff, G. Fabinyi, W. D’Souza,
R. Yerra, J. Archer, L. Litewka, S. Hosking, P. Lightfoot, V. Ruedebusch, W.D. Sheffield, D.
Snyder, K. Leyde, D. Himes, Prediction of seizure likelihood with a long-term, implanted
seizure advisory system in patients with drug-resistant epilepsy: a first-in-man study. Lancet
Neurol. 12, 563–571 (2013). https://doi.org/10.1016/S1474-4422(13)70075-9
38. P. Detti, G.Z.M. de Lara, R. Bruni, M. Pranzo, F. Sarnari, G. Vatti, A patient-specific approach
for short-term epileptic seizures prediction through the analysis of EEG synchronization. IEEE
Trans. Biomed. Eng. 66, 1494–1504 (2018)
39. D.J. DiLorenzo, K.W. Leyde, D. Kaplan, Neural state monitoring in the treatment of epilepsy:
seizure prediction–conceptualization to first-in-man study. Brain Sci. 9, 156 (2019)
40. J. Engel Jr., Report of the ILAE classification core group. Epilepsia 47, 1558–1568 (2006).
https://doi.org/10.1111/j.1528-1167.2006.00215.x
41. J. Engel Jr., The current place of epilepsy surgery. Curr. Opin. Neurol. 31, 192–197 (2018)
42. H. Feldwisch-Drentrup, M. Staniek, A. Schulze-Bonhage, J. Timmer, H. Dickten, C.E. Elger,
B. Schelter, K. Lehnertz, Identification of preseizure states in epilepsy: a data-driven approach
for multichannel EEG recordings. Front. Comput. Neurosci. 5, 32 (2011). https://doi.org/10.
3389/fncom.2011.00032
43. R.S. Fisher, W. van Emde Boas, W. Blume, C.E. Elger, P. Genton, P. Lee, J. Engel Jr., Epileptic
seizures and epilepsy: definitions proposed by the International League Against Epilepsy
(ILAE) and the International Bureau for Epilepsy (IBE). Epilepsia 46, 470–472 (2005). https://
doi.org/10.1111/j.0013-9580.2005.66104.x
44. K. Gadhoumi, J.M. Lina, J. Gotman, Seizure prediction in patients with mesial temporal lobe
epilepsy using EEG measures of state similarity. Clin. Neurophysiol. 124, 1745–1754 (2013)