EEG Analysis May Predict Best Anti-Seizure Medication for Patients
Researchers studied how well machine learning could predict the effectiveness of anti-seizure medications (ASMs) using routine EEG tests.
Discover the latest findings in recent epilepsy research, where we break down complex studies into clear insights. Stay informed about cutting-edge breakthroughs, evolving theories, and advancements shaping our understanding of epilepsy.
Researchers studied how well machine learning could predict the effectiveness of anti-seizure medications (ASMs) using routine EEG tests.
Researchers studied non-convulsive status epilepticus (NCSE) in unconscious patients in intensive care units (ICUs).
Researchers studied the use of vigabatrin (VGB) as a preventive treatment for infants with tuberous sclerosis complex (TSC), a condition that often leads to early-onset epilepsy.
A study was conducted to examine how well a new inhalation device called Staccatoยฎ alprazolam works in adolescents aged 12 to 17 with epilepsy.
A recent study looked at how young people with epilepsy transition from pediatric to adult healthcare.
This study looked at how effective neuropsychological interventions are in improving thinking skills in people with epilepsy.
This study looked at how neurologists help children with brain tumors, from the time they are diagnosed to many years after their treatment.
This study looked at different types of interventions aimed at helping children with epilepsy, focusing on service delivery, behavioral therapies, and self-management techniques.
This study looked at how well automatic systems can detect tonic seizures, which are a type of seizure where the muscles stiffen.