Around 0.6-0.8% of the world’s population is affected by a re-current neurological disorder of epilepsy. Second only to stroke, epileptic seizures interrupt lives of 50 million people. The sudden and seemingly unpredictable nature of seizures is one of the most defeating facts of epilepsy. The ability to predict a rising seizure reliably can mitigate the severity of the disorder and open up new...

Epilepsy is one of the common neurological disorders characterized by a sudden and recurrent malfunction of the brain that is termed “seizure”, affecting around 65 million individuals worldwide. Epileptic seizure may lead to many injuries such as fractures, submersion, burns, motor vehicle accidents and even death. It is highly possible to prevent these unwanted situations if we can predict/det...

A robust seizure prediction methodology would enable a "closed-loop" system that would only activate as impending seizure activity is detected. Such a system would eliminate ongoing stimulation to the brain, thereby eliminating such side effects as coughing, hoarseness, voice alteration, and paresthesias (Murphy et al., 1998; Ben-Menachem, 2001), while preserving overall battery life of the sys...

Drug-resistant, multifocal, non-resectable epilepsies are among the most difficult epileptic disorders to manage. An approach to control previously uncontrollable seizures in epilepsy patients would consist of identifying seizure precursors in critical brain areas combined with delivering a counteracting influence to prevent seizure generation. Predictability of seizures with acceptable levels ...

In recent decades, seizure prediction has caused a lot of research in both signal processing and the neuroscience field. The researches have tried to enhance the conventional seizure prediction algorithms such that the rate of the false alarms be appropriately small, so that seizures can be predicted according to clinical standards. To date, none of the proposed algorithms have been sufficientl...

A Matlab®-based software package, EPILAB, was developed for supporting researchers in performing studies on the prediction of epileptic seizures. It provides an intuitive and convenient graphical user interface. Fundamental concepts that are crucial for epileptic seizure prediction studies were implemented. This includes, for example, the development and statistical validation of prediction met...

News and Events Elite Graduate Program " Neurosciences " – Bernstein Centers at the " Germany in Japan " Initiative – Bernstein Award 2006 – Upcoming Events BCCN Newsletter Scientists at the BCCN develop a procedure to evaluate algorithms that predict epileptic seizures Epilepsy is a widespread neurological disease that is characterized by the spontaneous and hitherto unpredictable incidence of...

People livingwith uncontrolled epilepsy face the constant fear of seiprediction/forecasting is a reality, and that there aremanypotential suczures. The mental toll of anticipation and uncertainty surrounding the random occurrence of seizures may actually be more stressful than the embarrassment, injury, or death caused by the seizure itself. In a recent US poll of patients and caregivers by the...