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.
-
-
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.
-
Noonan Syndrome Linked to Higher Rates of Brain Disorders
Researchers studied the prevalence of brain-related disorders in people with Noonan syndrome (NS), a genetic condition that can affect growth, heart health, and brain development.
-
New Insights on Brain Hubs in Epilepsy Surgery Patients
Researchers studied brain networks in 91 patients who had surgery for epilepsy.
-
Comorbidities | Drug-Resistant Epilepsy | Epilepsy Research Summaries | Genetics | Pediatrics | Recent Research
Timely Tracheostomy May Benefit Critically Ill Children
A study was conducted to understand the effects of tracheostomy in critically ill children with neurological impairments who were treated in the Pediatric Intensive Care Unit (PICU).
-
New EEG Biomarker Improves Epilepsy Diagnosis Accuracy
Researchers studied a new way to diagnose epilepsy using electroencephalogram (EEG) data, which measures electrical activity in the brain.
-
Devices & Neuromodulation | Epilepsy Research Summaries | Genetics | Imaging & EEG | Recent Research
Guidelines to Reduce Risks of Visually-Provoked Seizures
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.
-
Machine Learning Improves Surgical Decisions for Epilepsy Care
This study looked at how machine learning (ML) can help doctors make better decisions about surgery for people with drug-resistant epilepsy (DRE).
-
Epilepsy Research Summaries | Genetics | Imaging & EEG | Lifestyle & Sleep | Pediatrics | Recent Research
Scalp Activity May Help Identify Neonates at Epilepsy Risk
This study looked at how high-frequency activity (HFA) in the brain can help identify neonates (newborns) with seizures and predict their risk of developing epilepsy later on.
