Epilepsy, Neural Population Models of
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.
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...
- 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 367:1145–1161Google Scholar
- Soltesz I, Staley KJ (2008) Computational neuroscience in epilepsy. Elsevier Academic Press, San diego, California, USAGoogle Scholar
- Suffczynski P, Wendling F, Bellanger J-J, Da Silva FHL (2006b) Some insights into computational models of (Patho)physiological brain activity. Proc IEEE 94:784–804Google Scholar