Focal Cortical Dysplasia Types Affect Seizure Surgery Outcomes
This study looked at 77 patients who had a specific brain condition called focal cortical dysplasia (FCD), which can cause epilepsy.
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 looked at 77 patients who had a specific brain condition called focal cortical dysplasia (FCD), which can cause epilepsy.
The ELUCID study is a research project that looks at older adults, specifically those aged 55 and older, who have developed seizures without a clear cause, known as late-onset unexplained epilepsy (LoUE).
This study looked at children diagnosed with Alexander disease (AD), a rare neurological condition, over the past ten years.
Researchers studied how brain activity, measured through EEG, relates to cognitive difficulties caused by antiseizure medications in people with epilepsy.
Researchers studied the use of continuous EEG (cEEG) in intensive care units (ICUs) to see how it helps with diagnosing and treating patients, especially those with epilepsy or brain injuries.
This study looked at a new way to stimulate nerves without touching the skin, using sound waves.
Researchers studied a new way to diagnose epilepsy using electroencephalogram (EEG) data, which measures electrical activity in the brain.
A recent study by an expert panel from the Epilepsy Foundation focused on visually-provoked seizures (VPS), which can be triggered by certain visual stimuli like flashing lights or specific patterns.
This study looked at how machine learning (ML) can help doctors make better decisions about surgery for people with drug-resistant epilepsy (DRE).