A variety of screening approaches have been proposed to diagnose epileptic seizures,
using electroencephalography (EEG) and magnetic resonance imaging (MRI) modalities …

Epilepsy is well-recognized as a disorder of brain networks. There is a growing body of
research to identify critical nodes within dynamic epileptic networks with the aim to target …

Epilepsy is a disorder of brain networks. A better understanding of structural and dynamic
network properties may improve epilepsy diagnosis, treatment, and prognostics. Hubs are …

Abstract Machine learning leverages statistical and computer science principles to develop
algorithms capable of improving performance through interpretation of data rather than …

Deep Learning (DL), a successful promising approach for discriminative and generative
tasks, has recently proved its high potential in 2D medical imaging analysis; however …

The epilepsies are commonly accompanied by widespread abnormalities in cerebral white
matter. ENIGMA-Epilepsy is a large quantitative brain imaging consortium, aggregating data …

Objective Medial temporal lobe epilepsy (TLE) is the most common form of medication‐
resistant focal epilepsy in adults. Despite removal of medial temporal structures, more than …

Objective We assessed preoperative structural brain networks and clinical characteristics of
patients with drug-resistant temporal lobe epilepsy (TLE) to identify correlates of postsurgical …

Drug‐resistant epilepsy (DRE) considerably affects patient health, cognition, and well‐
being, and disproportionally contributes to the overall burden of epilepsy. The most common …

Epilepsy is among the most common chronic neurologic disorders, with 30%‐40% of
patients having seizures despite antiepileptic drug treatment. The advent of brain imaging …