USING SINGLE PULSE ELECTRICAL STIMULATION TO ASSESS NETWORK STRUCTURE IN A PHENOMENOLOGICAL MODEL OF EPILEPSY
Abstract
We study the problem of delineating the epileptogenic zone in epilepsy surgery. Prior to surgery ECoG-data from a subdural grid is monitored for several days in order to observe an actual seizure and see how this spreads. During this monitoring time also active probing using Single Pulse Electrical Stimulation (SPES) is performed. The responses upon stimulation have been shown to relate to epileptogenic brain areas. We want to use these responses to construct a patient-specific computational model. Such a model allows computer experiments to see how resection of a node would affect the seizure rate.
Here we start with a simple phenomenological model of a 4-node network with noisy, bistable dynamics. We determine all networks that have show ictal dynamics. Next we apply stimulation to assess the network structure of these "seizure"-networks. For the reconstructed networks we show that removing a node decreases the seizure frequency for many 4-node networks. Finally, we discuss two larger networks (~20 nodes) based on SPES-data from patients from UMC Utrecht. We compare our modelling results with the clinical determined epileptogenic tissue.
Wednesday 26 November 2014, 16:30 - 17:30 h
Building Carré - room CR 3.718