Epilepsy is one of the most common neurological disorders. About 600k people currently are diagnosed with epilepsy in UK, with the related medical expenditures to raise up to 2b £ annually. Approximately 25% of patients have unsatisfactory control of seizures, so epilepsy surgery represents the most promising treatment to pursue seizure freedom.
The objective of surgery is to remove the brain tissue that is responsible for the seizures' generation. Although it sounds very easy, its very difficult to recognise the smallest part of the brain that should be removed in order to have a seizure free patient with minimal or no functional deficits.
Hopefully, the epileptogenic area produces some very rapid signals that we can detect them non-invasively with the current technology.
The current project aims to develop and test an algorithm for the automatic detection of these rapid signals based only on electroencephalogram, which is non-invasive, safe and low cost. Moreover, using advanced mathematical modelling, our scope is to precisely localise the area that is generating these rapid signals, aiming to detect the brain tissue that should be removed, improving the current clinical practice.