Definition
Epilepsy is a set of neurological disorders and syndromes characterized by recurrent seizures. Neural Population Models can serve as biomathematical representation of an abnormal neuronal assembly by altering parameters to reproduce epileptiform activity. Typically, parameters related to excitatory or inhibitory synaptic transmission can be modified (with respect to physiological values) to generate events that match those actually observed in local field potentials or in the EEG during ictal (seizures) or interictal (outside seizures) periods.
Detailed Description
Epilepsy is a pathological condition in which the nature of the interactions between neurons and the properties of neurons themselves are altered. These alterations lead to the development of epileptogenic networks in the brain over which transitions from normal to epileptic activity can spontaneously occur. Epileptogenic networks consists in extended networks of neurons characterized by abnormal synchronization...
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References
Babb TL, Lieb JP, Brown WJ, Pretorius J, Crandall PH (1984) Distribution of pyramidal cell density and hyperexcitability in the epileptic human hippocampal formation. Epilepsia 25:721–728
Bartolomei F, Wendling F, Bellanger JJ, Regis J, Chauvel P (2001) Neural networks involving the medial temporal structures in temporal lobe epilepsy. Clin Neurophysiol 112:1746–1760
Breakspear M, Roberts JA, Terry JR, Rodrigues S, Mahant N, Robinson PA (2006) A unifying explanation of primary generalized seizures through nonlinear brain modeling and bifurcation analysis. Cereb Cortex 16:1296–1313
Crunelli V, Cope DW, Terry JR (2011) Transition to absence seizures and the role of GABA(A) receptors. Epilepsy Res 97:283–289
Gnatkovsky V, Librizzi L, Trombin F, de Curtis M (2008) Fast activity at seizure onset is mediated by inhibitory circuits in the entorhinal cortex in vitro. Ann Neurol 64:674–686
Jiruska P, de Curtis M, Jefferys JG, Schevon CA, Schiff SJ, Schindler K (2013) Synchronization and desynchronization in epilepsy: controversies and hypotheses. J Physiol 591:787–797
Labyt E, Uva L, de Curtis M, Wendling F (2006) Realistic modeling of entorhinal cortex field potentials and interpretation of epileptic activity in the guinea pig isolated brain preparation. J Neurophysiol 96:363–377
Lytton WW (2008) Computer modelling of epilepsy. Nat Rev Neurosci 9:626–637
Marten F, Rodrigues S, Benjamin O, Richardson MP, Terry JR (2009) Onset of polyspike complexes in a mean-field model of human electroencephalography and its application to absence epilepsy. Philos Transact A Math Phys Eng Sci 367:1145–1161
Molaee-Ardekani B, Benquet P, Bartolomei F, Wendling F (2010) Computational modeling of high-frequency oscillations at the onset of neocortical partial seizures: from ‘altered structure’ to ‘dysfunction’. Neuroimage 52:1109–1122
Roberts JA, Robinson PA (2008) Modeling absence seizure dynamics: implications for basic mechanisms and measurement of thalamocortical and corticothalamic latencies. J Theor Biol 253:189–201
Robinson PA, Rennie CJ, Rowe DL (2002) Dynamics of large-scale brain activity in normal arousal states and epileptic seizures. Phys Rev E Stat Nonlin Soft Matter Phys 65:041924
Soltesz I, Staley KJ (2008) Computational neuroscience in epilepsy. Elsevier Academic Press, San diego, California, USA
Suffczynski P, Kalitzin S, Pfurtscheller G, Lopes da Silva FH (2001) Computational model of thalamo-cortical networks: dynamical control of alpha rhythms in relation to focal attention. Int J Psychophysiol 43:25–40
Suffczynski P, Kalitzin S, Lopes Da Silva FH (2004) Dynamics of non-convulsive epileptic phenomena modeled by a bistable neuronal network. Neuroscience 126:467–484
Suffczynski P, Lopes da Silva FH, Parra J, Velis DN, Bouwman BM, van Rijn CM, van Hese P, Boon P, Khosravani H, Derchansky M, Carlen P, Kalitzin S (2006a) Dynamics of epileptic phenomena determined from statistics of ictal transitions. IEEE Trans Biomed Eng 53:524–532
Suffczynski P, Wendling F, Bellanger J-J, Da Silva FHL (2006b) Some insights into computational models of (Patho)physiological brain activity. Proc IEEE 94:784–804
Wendling F, Bellanger JJ, Bartolomei F, Chauvel P (2000) Relevance of nonlinear lumped-parameter models in the analysis of depth-EEG epileptic signals. Biol Cybern 83:367–378
Wendling F, Bartolomei F, Bellanger JJ, Chauvel P (2002) Epileptic fast activity can be explained by a model of impaired GABAergic dendritic inhibition. Eur J Neurosci 15:1499–1508
Wendling F, Hernandez A, Bellanger JJ, Chauvel P, Bartolomei F (2005) Interictal to ictal transition in human temporal lobe epilepsy: insights from a computational model of intracerebral EEG. J Clin Neurophysiol 22:343–356
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Wendling, F., Molaee-Ardekani, B. (2015). Epilepsy, Neural Population Models of. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6675-8_58
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DOI: https://doi.org/10.1007/978-1-4614-6675-8_58
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