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.
This hub covers epilepsy EEG and MRI: how EEGs and brain imaging help doctors understand seizure patterns and possible causes. Clear explanations of common findings and what research suggests.
Yes. EEGs are a snapshot. Some people need repeat EEGs, sleep-deprived EEGs, or long-term monitoring.
Not always. It raises suspicion and risk, but diagnosis still depends on the full story.
To look for structural causes like scars, malformations, tumors, and stroke-related changes, which can guide treatment.
An inpatient or extended study that records EEG and video together to match symptoms to brain activity.
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 how deep brain stimulation (DBS) and responsive neurostimulation (RNS) can help people with drug-resistant epilepsy (DRE), which is epilepsy that doesnβt respond to medications.
Researchers studied a specific genetic change in the NBEA gene in a child from China who had developmental delays and epilepsy.
This study looked at the effects of resective surgery on children with drug-resistant epilepsy related to tuberous sclerosis complex (TSC).
Researchers studied four patients, aged 53 to 78, who experienced seizures and were evaluated using MRI scans.
Researchers studied a case involving an 8-year-old boy with autism spectrum disorder (ASD) who experienced daily seizures.
This study focused on children with self-limited epilepsy with centrotemporal spikes (SeLECTs), a common type of epilepsy in kids.
This study looked at children with a type of epilepsy called self-limited epilepsy with centrotemporal spikes (SeLECTS).