Researchers studied how to better predict the risk of seizures in people with epilepsy, focusing on those who have had a single seizure or are at risk due to conditions like stroke or brain injury.
This study looked at how cognitive abilities are assessed in children with cerebral palsy (CP).
This study focused on finding better ways to detect focal cortical dysplasia type II (FCD type II) in children, a condition that can cause severe epilepsy that doesn’t respond to medication.
This study looked at a protein called Tweety-homolog 1 (Ttyh1) and its effects on brain cells in rats.
This study looked at a specific gene called DARS2 and its connection to a type of genetic nerve disease known as Charcot-Marie-Tooth (CMT) disease.
Researchers studied how to better locate the area in the brain responsible for causing seizures in people with epilepsy, which is crucial for successful epilepsy surgery.
Researchers studied how to locate language areas in the brain using a new method called Behavior-iEEG-Spectral-Power correlation (BESPoC).
This study focused on developing and testing a new automated model called vEpiNetV2, designed to detect interictal epileptiform discharges (IEDs) in patients with epilepsy.
This study looked at the significance of positive spike wave (PSW) discharges in the brains of children aged 1 month to 19 years.