Predicting the response to anti-epileptic drug treatment

Epilepsy can be difficult to treat, and currently there are no techniques to predict which people will respond well to treatment. Being able to predict whether an individual will respond to a specific anti-epileptic drug would revolutionise treatment of epilepsy.

Professor Terry and colleagues are using computer models of brain networks to investigate whether routine electroencephalogram (EEG) can be used to predict the best treatment for people with a common group of epilepsies, idiopathic generalised epilepsy. The group has already used computer models to obtain highly relevant new information ‘hidden’ within apparently normal EEGs, which shows how brain networks are connected, and can also help to differentiate people who are seizure-free from those whose seizures are recurring.

By the end of this project, Professor Terry hopes that computer models will be able to accurately identify the specific epilepsy types and future seizure frequency, and predict a person’s response to AEDs. If successful, the project could revolutionise the treatment of epilepsy, by allowing doctors to administer the most appropriate therapy as early as possible. Prompt, appropriate treatment as a matter of course would dramatically improve the quality of life of people with these epilepsies.

Read more about this research about predicting the response to anti-epileptic drug treatment here.

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