Newswise — Researchers from the UPF Department of Information and Communication Technologies (DTIC) propose a new method to differentiate signals from the epileptic focus from those recorded in other parts of the brain without the presence of an epileptic seizure. This technique may help detect epilepsy-induced features from these signals much quicker than conventional analysis techniques. The results have been published in the journal Physical Review E.
Around 1% of the world’s population suffers from epilepsy, a neurological disorder that causes epileptic seizures. In these seizures, a group of neurons displays abnormal excessive neuronal activity in the brain.
But 9% of all epileptic patients suffer from what is known as pharmacoresistant focal-onset epilepsy. In these patients, epileptic seizures cannot be controlled by medication. For them, one potential therapy is the neurosurgical resection of the brain area where seizures start.
Nevertheless, various diagnostic techniques must be performed to try to locate this focus. The brain’s electrical activity is measured by means of electroencephalography, a technique that uses electrodes to collect the electroencephalographic signals (EEG signals). In this work, signals were used recorded using intracranial electrodes (see photo), directly connected to the surface of the brain, to record the patient’s electrical activity and thus locate the focus.
But, does this study seek to pinpoint exactly where in the brain the epileptic seizure begins? Anaïs Espinoso, a PhD researcher with the “Nonlinear Time Series Analysis” (NTSA) research group at UPF and first author of the publication, explains that “this is not the goal of the work, the signals of the epileptic focus have a different dynamic from those that do not come directly from the focus. We study these dynamics and we want to achieve the technique that can best accentuate the differences between the two types of signals”.
For this reason, they studied the signals produced by five patients suffering from pharmacoresistant focal-onset epilepsy. They applied EEG signal analysis techniques to see various aspects such as phase synchronization and irregularity, a conceptually simple and effective approach to characterize electroencephalographic recordings of patients with epilepsy. Espinoso explains that “many studies of electroencephalographic signals apply complex techniques that encourage the analysis of a large number of patients. These studies, moreover, analyze the signal directly, but this can be altered by physiological artefacts or during the signal acquisition process”.
