Please provide your email address to receive an email when new articles are posted on . The study analyzed 334 cases of point-of-care EEGs in the SAFER-EEG clinical trial. Overall, 79% of those with a ...

Predictions for identifying 1-year seizure recurrence performed significantly better in electroencephalography (EEG) without interictal epileptiform discharges. An automated processing algorithm ...

Epilepsy is a neurological disorder that affects millions of people, regardless of age, but has yet to discover why it happens and how to effectively stop it. So far, most epilepsy patients manage ...

A study reveals clinically relevant epileptic seizure prediction is possible in a wider range of patients than previously thought, thanks to the crowdsourcing of more than 10,000 algorithms worldwide.

A study by University of Melbourne researchers reveals clinically relevant epileptic seizure prediction is possible in a wider range of patients than previously thought, thanks to the crowdsourcing of ...

Algorithms developed using data from online seizure diaries were good at predicting seizures, according to Tobias Loddenkemper, MD, of Boston Children's Hospital, and colleagues. Note that these ...

Temporal lobe epilepsy can be efficiently localized to the left or right hemispheres via analysis of 18 F-FDG–PET data, according to a new report. Pustina and colleagues used stepwise linear ...

Two years ago, the American Epilepsy Society raised the Seizure Prevention Challenge to 502 research teams around the globe. The goal was to design a method to help epileptic patients accurately ...

Researchers from the Indian Institute of Technology – Delhi have come up with a novel algorithm that can localise the epileptogenic zone using a patient's EEG data. In cases of drug-resistant ...

Computer scientists and mathematicians have developed a prediction model that can warn epileptic sufferers of an upcoming seizure with 20 minutes notice. Computer scientists and mathematicians at the ...