Computational models of epileptic activity: A bridge between observation and pathophysiological interpretation

Expert Review of Neurotherapeutics

Volumn 8, Issue 6, 2008, Pages 889-896

  Wendling, Fabrice ^a,b  

^a INSERM   (France)

^b UNIVERSITÉ DE RENNES 1   (France)

Author keywords

Computational neuroscience; Computer aided drug design; Detailed; Epilepsy; Lumped; Macroscopic; Microscopic; Model; Neurostimulation

Indexed keywords

DISEASE ACTIVITY; DISEASE COURSE; ELECTROENCEPHALOGRAM; ELECTROPHYSIOLOGY; FOCAL EPILEPSY; HUMAN; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NERVE CELL NETWORK; NERVE STIMULATION; PATHOPHYSIOLOGY; QUALITY OF LIFE; REVIEW; SURGICAL TECHNIQUE;

EID: 45749114467     PISSN: 14737175     EISSN: 17448360     Source Type: Journal    
DOI: 10.1586/14737175.8.6.889     Document Type: Review

References (38)

1. Prilipko L, M de Boer H, Dua T, Bertolote J. Epilepsy care - the WHO/ILAE/IBE Global campaign against epilepsy. US Neurol. Dis. 39-40 (2006).
2. Giugliano M, Darbon P, Arsiero M, Luscher HR, Streit J. Single-neuron discharge properties and network activity in dissociated cultures of neocortex. J. Neurophysiol. 92(2), 977-996 (2004).
3. Prince DA. Mechanisms of epileptogenesis in brain-slice model systems. Res. Publ. Assoc. Res. Nerv. Ment. Dis. 61, 29-52 (1983). • Although written more than 20 years ago, this review remains very informative about epileptogenesis mechanisms in in vitro models.
4. Llinas R, Yarom Y, Sugimori M. Isolated mammalian brain in vitro: new technique for analysis of electrical activity of neuronal circuit function. Fed. Proc. 40(8), 2240-2245 (1981).
5. Ben-Ari Y, Cossart R. Kainate, a double agent that generates seizures: two decades of progress. Trends Neurosci. 23(11), 580-587 (2000). • Review of ictogeneis mechanisms in a well-established in vivo model of temporal lobe epilepsy.
6. Trevelyan AJ, Sussillo D, Watson BO, Yuste R. Modular propagation of epileptiform activity: evidence for an inhibitory veto in neocortex. J. Neurosci. 26(48), 12447-12455 (2006).
7. Kwan P, Brodie MJ. Refractory epilepsy: mechanisms and solutions. Expert Rev. Neurother. 6(3), 397-406 (2006).
8. Engel J, VanNess P, Rasmussen T, Ojemann L. Outcome with respect to epileptic seizures. In: Surgical Treatment of the Epilepsies. Engel J (Ed.). Raven Press, NY, USA, 609-622 (1993).
9. Lopes da Silva F. Electrical potentials. In: Encyclopedia of the Human Brain (Volume 2). Ramachandran VS (Ed.). Academic Press, NY, USA, 147-167 (2002). • Book chapter describing some biophysical aspects involved into the generation of local field potentials and EEG signals.
10. Wendling F. Neurocomputational models in the study of epileptic phenomena. J. Clin. Neurophysiol. 22(5), 285-287 (2005).
11. Hodgkin AL, Huxley AF. A quantitative description of membrane current and its application to conduction and excitation in nerve. J. Physiol. 117(4), 500-544 (1952).
12. Gerstner W, Kistler W. Spiking Neuron Models: Single Neurons, Populations, Plasticity. Cambridge University Press, Cambridge, UK (2002). •• Didactic and still up-to-date book about computational models of neurons and neuronal populations.
13. Traub RD. Neocortical pyramidal cells: a model with dendritic calcium conductance reproduces repetitive firing and epileptic behavior. Brain Res. 173(2), 243-257 (1979). • Pioneer work about pyramidal cell modeling.
14. van Drongelen W, Lee HC, Stevens RL, Hereld M. propagation of seizure-like activity in a model of neocortex. J. Clin. Neurophysiol. 24(2), 182-188 (2007).
15. Traub RD, Jefferys JG, Whittington MA. Fast Oscillations in Cortical Circuits. The MIT Press, MA, USA (1999).
16. Destexhe A. Can GABAA conductances explain the fast oscillation frequency of absence seizures in rodents? Eur. J. Neurosci. 11(6), 2175-2181 (1999).
17. Lytton WW, Omurtag A. Tonic-clonic transitions in computer simulation. J. Clin. Neurophysiol. 24(2), 175-181 (2007).
18. Wilson HR, Cowan JD. Excitatory and inhibitory interactions in localized populations of model neurons. Biophys. J. 12(1), 1-24 (1972).
19. Freeman WJ. A model of the olfactory system. In: Neural Modeling. Brazier MAB, Walter DO, Schneider D (Eds). University of California, Los Angeles, CA, USA, 41-62 (1973).
20. Lopes da Silva FH, Hoeks A, Smits H, Zetterberg LH. Model of brain rhythmic activity. The ?-rhythm of the thalamus. Kybernetik 15(1), 27-37 (1974).
21. Suffczynski P, Kalitzin S, Lopes Da Silva FH. Dynamics of non-convulsive epileptic phenomena modeled by a bistable neuronal network. Neuroscience 126(2), 467-484 (2004). • Mascroscopic computational model of absence seizures based on the description of the thalamocortical loop.
22. Wendling F, Bartolomei F, Bellanger JJ, Bourien J, Chauvel P. Epileptic fast intracerebral EEG activity: evidence for spatial decorrelation at seizure onset. Brain 126(Pt 6), 1449-1459 (2003).
23. Wendling F, Hernandez A, Bellanger JJ, Chauvel P, Bartolomei F. Interictal to ictal transition in human temporal lobe epilepsy: insights from a computational model of intracerebral EEG. J. Clin. Neurophysiol. 22(5), 343-356 (2005). • Macroscopic computational model of partial seizures based on the cellular organization of the hippocampus. A method for identifying model parameters from real intracerebral EEG is also described.
24. Computational Neuroscience in Epilepsy. Soltesz I, Staley KJ (Eds). Academic Press (2008). •• Recent and quite comprehensive state-of-the-art in the domain of computational neurosciences in epilepsy.
25. Dyhrfjeld-Johnsen J, Santhakumar V, Morgan RJ et al. Topological determinants of epileptogenesis in large-scale structural and functional models of the dentate gyrus derived from experimental data. J. Neurophysiol. 97(2), 1566-1587 (2007).
26. Netoff TI, Clewley R, Arno S, Keck T, White JA. Epilepsy in small-world networks. J. Neurosci. 24(37), 8075-8083 (2004).
27. Houweling AR, Bazhenov M, Timofeev I, Steriade M, Sejnowski TJ. Homeostatic synaptic plasticity can explain posttraumatic epileptogenesis in chronically isolated neocortex. Cereb. Cortex 15(6), 834-845 (2005).
28. Schiff SJ, Sauer T, Kumar R, Weinstein SL. Neuronal spatiotemporal pattern discrimination: the dynamical evolution of seizures. Neuroimage 28(4), 1043-1055 (2005).
29. Robinson PA, Rennie CJ, Rowe DL. Dynamics of large-scale brain activity in normal arousal states and epileptic seizures. Phys. Rev. E. Stat. Nonlin. Soft Matter Phys. 65(4 Pt 1), 041924 (2002).
30. Noble D. The rise of computational biology. Nat. Rev. Mol. Cell. Biol. 3(6), 459-463 (2002).
31. Li Y, Mogul DJ. Electrical control of epileptic seizures. J. Clin. Neurophysiol. 24(2), 197-204 (2007). • Recent study of the potential role of neurostimulations used in the perspective of controling epileptic activity.
32. Wagenaar DA, Madhavan R, Pine J, Potter SM. Controlling bursting in cortical cultures with closed-loop multi-electrode stimulation. J. Neurosci. 25(3), 680-688 (2005).
33. Markram H. The blue brain project. Nat. Rev. Neurosci. 7(2), 153-160 (2006).
34. Labyt E, Uva L, de Curtis M, Wendling F. Realistic modeling of entorhinal cortex field potentials and interpretation of epileptic activity in the guinea pig isolated brain preparation. J. Neurophysiol. 96(1), 363-377 (2006).
35. El-Hassar L, Milh M, Wendling F et al. Cell domain-dependent changes in the glutamatergic and GABAergic drives during epileptogenesis in the rat CA1 region. J. Physiol. 578(Pt 1), 193-211 (2007).
36. Prinz AA, Bucher D, Marder E. Similar network activity from disparate circuit parameters. Nat. Neurosci. 7(12), 1345-1352 (2004). • Very instructive paper that addresses the difficult issue of the uniqueness of solutions in theoretical models.
37. Herz AV, Gollisch T, Machens CK, Jaeger D. Modeling single-neuron dynamics and computations: a balance of detail and abstraction. Science 314(5796), 80-85 (2006). • Informative paper that discusses the question of the level of detail in single neuron models.
38. Wendling F, Bartolomei F, Bellanger JJ, Chauvel P. Epileptic fast activity can be explained by a model of impaired GABAergic dendritic inhibition. Eur. J. Neurosci. 15(9), 1499-1508 (2002).