Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/55322
Title: Model based prediction of post epilepsy surgery
Authors: Jain Prateek
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
Issue Date: 2013
Abstract: In about 30% of epileptic patients, epilepsy is not controlled by medication. For some of these patients surgery is an option. However, the surgery requires accurate determination of the seizure onset zone. So the prediction of reliable epileptic brain area is of crucial importance. Here, a dynamic model is developed to predict the seizure onset zone and outcome of surgery in patients. The model uses the inter-ictal ECoG data as a connectivity to predict the seizure onset zone in the brain. The examination of betweenness centrality of the node gives the strong correlation with the seizure onset zone. Betweenness centralization of the network depends on the seizure onset zone, if seizure onset is removed the betweenness centralization of the network decreases. Increase in betweenness centralization of the network is also associated with the seizure onset zone. It is shown that the probability of seizure occurrence is less with decrease in betweenness centralization ofthe network. Hence, the model can be used to predict the seizure onset zone and outcome of surgery.
URI: http://hdl.handle.net/10356/55322
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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