Predicting Recovery After Cardiac Arrest Using EEG Patterns
This study focuses on understanding how certain brain activity patterns, seen in electroencephalograms (EEGs), can help predict the recovery of people who survive cardiac arrest.
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.
This study focuses on understanding how certain brain activity patterns, seen in electroencephalograms (EEGs), can help predict the recovery of people who survive cardiac arrest.
Researchers studied a new way to manage epilepsy by combining different types of information and expertise.
Researchers studied 155 patients with drug-resistant focal epilepsy to see if a specific brain imaging method could help predict how well they would respond to a medication called lacosamide (LCM).
Researchers studied how different parts of the brain communicate in patients with epilepsy, focusing on the areas where seizures start, known as the seizure onset zone (SOZ).
This study looked at patients who started having seizures for the first time during a COVID-19 infection.
Researchers studied a 27-year-old man with focal epilepsy, a type of epilepsy that originates in a specific area of the brain.
This study looked at children with generalized tonic seizures (GTS) who underwent two types of surgeries: corpus callosotomy (CC) and focal surgery (FS).
Researchers studied how brain networks are affected in people with nonlesional focal epilepsy, which is a type of epilepsy that doesn’t show visible brain damage on scans.
This study focused on understanding lissencephaly (LIS), a brain condition that affects how the brain develops and can lead to serious developmental issues.