The sudden and apparently unpredictable nature of seizures is one of the most disabling aspects of the disease epilepsy. A method capable of predicting the occurrence of seizures from the electroencephalogram (EEG) of epilepsy patients would open new therapeutic possibilities. Since the 1970s investigations on the predictability of seizures have advanced from preliminary descriptions of seizure...

Epilepsy is characterized by the spontaneous and unforeseeable occurrence of seizures, during which the perception or behavior of patients is disturbed. The predictability of these seizures would render novel therapeutic approaches possible. Several prediction methods have claimed to be able to predict seizures based on EEG recordings minutes in advance. However, the term seizure prediction is ...

OBJECTIVE Abnormal synchronization of neurons plays a central role for the generation of epileptic seizures. Therefore, multivariate time series analysis techniques investigating relationships between the dynamics of different neural populations may offer advantages in predicting epileptic seizures. METHODS We applied a phase and a lag synchronization measure to a selected subset of multicont...

objective simple febrile seizures are the most common form of childhood seizures,often recurring within the first twenty-four hours. this study was conducted to determine the probable role of low serum  sodium levels in predicting seizure recurrence in febrile children. materials & methods for the study, 226 patients with seizures, aged between 6 months to 5 years, were divided into 3 groups of...

States of consciousness in the brain offer a metric for explaining and predicting behaviors. There is a well-known correlation between epileptic seizure susceptibility and state of vigilance. Our goal is to design a system for detecting state of vigilance in real time using invasive electroencephalography and measurements of head movement. We will use this to probe the relationship between stat...

OBJECTIVE Increases in accumulated energy on intracranial EEG are associated with oncoming seizures in retrospective studies, supporting the idea that seizures are generated over time. Published seizure prediction methods require comparison to 'baseline' data, sleep staging, and selecting seizures that are not clustered closely in time. In this study, we attempt to remove these constraints by u...

OBJECTIVE To test whether epileptic seizure prediction algorithms have true predictive power, their performance must be compared with the one expected under well-defined null hypotheses. For this purpose, analytical performance estimates and seizure predictor surrogates were introduced. We here extend the Monte Carlo framework of seizure predictor surrogates by introducing alarm times surrogate...