Abstract:
:Epilepsy is one of the most common neurological disorders and is characterized by recurrent seizures. We use theoretical neuroscience tools to study brain dynamics during seizures. We derive and simulate a computational model of a network of hippocampal neuronal populations. Each population within the network is based on a model that has been shown to replicate the electrophysiological dynamics observed during seizures. The results provide insights into possible mechanisms for seizure spread. We observe that epileptiform activity remains localized to a pathological region when a global connectivity parameter is less than a critical value. After establishing the critical value for seizure spread, we explored how to correct the effect by altering particular synaptic gains. The spreading of seizures is quantified using numerical methods for seizure detection. The results from this study provide a new avenue of exploration for seizure control.
journal_name
J Comput Neuroscijournal_title
Journal of computational neuroscienceauthors
Kameneva T,Ying T,Guo B,Freestone DRdoi
10.1007/s10827-017-0636-xsubject
Has Abstractpub_date
2017-04-01 00:00:00pages
203-215issue
2eissn
0929-5313issn
1573-6873pii
10.1007/s10827-017-0636-xjournal_volume
42pub_type
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