The pharmacological treatment of epilepsy entails several critical decisions that need to be
based on an individual careful risk–benefit analysis. These include when to initiate treatment …

Purpose There remain major challenges for the clinician in managing patients with epilepsy
effectively. Choosing anti-seizure medications (ASMs) is subject to trial and error. About one …

Objective The objective of this study was to build a supervised machine learning-based
classifier, which can accurately predict the outcomes of antiepileptic drug (AED) treatment of …

Importance Arterial hypertension is associated with an increased incidence of epilepsy.
Results from animal studies suggest that angiotensin receptor blocker (ARB) therapy could …

Modern pharmacotherapy for epilepsy consists of orderly, sequential drug trials, in which
antiepileptic drugs (AEDs) are chosen under the concept of individual patient-oriented (or …

Purpose This study aimed to develop a classifier using supervised machine learning to
effectively assess the impact of clinical, demographical, and biochemical factors in …

Seizure freedom is the goal for patients who experience seizures and the physicians and
treatment teams who provide care for these patients. In 2017, the American Academy of …

Background In an 18-week, double-blind, placebo-controlled study (YKP3089C017;
NCT01866111), cenobamate was effective for the treatment of focal-onset seizures. This …

Background Most of the epilepsy longitudinal studies have analyzed children. However, in
endemic regions, such as Brazil, neurocysticercosis accounts for many adult-onset epilepsy …

The brain network alterations associated with temporal lobe epilepsy (TLE) progression are
still unclear. The purpose of this study was to investigate altered patterns of static and …