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.
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Devices & Neuromodulation | Drug-Resistant Epilepsy | Epilepsy Research Summaries | Genetics | New Studies | Pediatrics
Understanding Seizure Frequency Ratings in Vagus Nerve Stimulation
This study looked at how well different people agree on measuring seizure frequency in children with epilepsy who are treated with vagus nerve stimulation (VNS).
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Devices & Neuromodulation | Epilepsy Research Summaries | Genetics | New Studies | Pediatrics | Status Epilepticus
Stiripentol Reduces Seizures and Hospital Visits in Dravet Syndrome
The STIRUS study looked at how effective stiripentol, a medication approved for Dravet syndrome (DS), is for patients in the United States.
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Study Aims to Identify Dementia Risks in Older Adults with Seizures
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).
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Understanding Alexander Disease in Children and Its Impact
This study looked at children diagnosed with Alexander disease (AD), a rare neurological condition, over the past ten years.
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Devices & Neuromodulation | Drug-Resistant Epilepsy | Epilepsy Research Summaries | Genetics | New Studies | Pediatrics
Machine Learning May Help Predict Epilepsy Treatment Responses
This study looked at how machine learning can help predict which patients with drug-resistant epilepsy might respond well to neuromodulation therapies, like vagus nerve stimulation (VNS).
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EEG Alpha Frequency May Help Track Cognitive Changes in Epilepsy
Researchers studied how brain activity, measured through EEG, relates to cognitive difficulties caused by antiseizure medications in people with epilepsy.
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New Tool Helps Identify Seizure Types in Children with Epilepsy
This study looked at how well a new questionnaire-based tool can help classify seizure types in children with epilepsy.
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Machine Learning Models Show Promise for Predicting Glioma Seizures
Researchers studied how well machine learning (ML) models can predict seizures in patients with glioma-associated epilepsy (GAE), a common issue for people with gliomas, which are a type of brain tumor.
