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Background: Tuberous sclerosis complex (TSC) is an autosomal dominant disorder characterized by mutations in the or genes, leading to dysregulation of the mTOR pathway and multisystemic manifestations. Epilepsy is a common neurologic feature of TSC, frequently accompanied by neuropsychiatric comorbidities. Understanding the relationship between epilepsy severity, TSC-associated neuropsychiatric disorders (TAND), and cognitive outcomes is crucial for optimizing patient care.

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Developmental and epileptic encephalopathies constitute a group of severe epilepsies, with seizure onset typically occurring in infancy or childhood, and diverse clinical manifestations, including neurodevelopmental deficits and multimorbidities. Many have genetic aetiologies, identified in up to 50% of individuals. Whilst classically considered paediatric disorders, most are compatible with survival into adulthood, but their adult phenotypes remain inadequately understood.

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A 15-year-old girl presented with new onset tonic-clonic seizures, encephalopathy, abdominal pain, and hypertension with a history of weight loss and emesis. Brain magnetic resonance imaging scans showed diffuse, bilateral cortical and subcortical gray and white matter signal abnormalities. Electroencephalography showed background slowing and disorganization.

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Background: The treatment of status epilepticus (SE) in children with cardiac disease is challenging given their often-tenuous hemodynamic state. We aim to determine whether ketamine is safe and effective in children with cardiac disease as the first-line continuous infusion for the treatment of refractory SE (RSE) and to compare ketamine to midazolam for the treatment of RSE in this population.

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Background: Acute encephalopathy with biphasic seizures and late reduced diffusion (AESD) is clinically characterized by biphasic seizures associated with mild to severe neurological sequelae and is the most common subtype of acute encephalopathy in Japan, accounting for around 30 % of cases. The present study retrospectively analyzed the utility of electroencephalography (EEG) in determining the optimal method of diagnosing AESD at the early stage.

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