Results 131 to 140 of about 883 (205)
Epilepsy syndromes classification
Epilepsia Open, EarlyView.Abstract Epilepsy syndromes are distinct electroclinical entities which have been recently defined by the International League Against Epilepsy Nosology and Definitions Task Force. Each syndrome is associated with “a characteristic cluster of clinical and EEG features, often supported by specific etiologic findings”.
Elaine C. Wirrell +4 more
wiley +1 more source
Epilepsia Open, EarlyView.Abstract The intestinal microbiome plays a pivotal role in maintaining host health through its involvement in gastrointestinal, immune, and central nervous system (CNS) functions. Recent evidence underscores the bidirectional communication between the microbiota, the gut, and the brain and the impact of this axis on neurological diseases, including ...
Teresa Ravizza +4 more
wiley +1 more source
Febrile status epilepticus and epileptogenesis: The FEBSTAT study
Epilepsia Open, EarlyView.Abstract The multicenter FEBSTAT study (Consequences of Prolonged Febrile Seizures in Childhood: https://grantome.com/grant/NIH/R37‐NS043209‐12; PI S. Shinnar) examined the outcome of febrile status epilepticus (FSE) in over 200 prospectively enrolled infants, with many followed for 10 years after FSE.
Darrell V. Lewis +14 more
wiley +1 more source
Frontiers in EEG as a tool for the management of pediatric epilepsy: Past, present, and future
Epilepsia Open, EarlyView.Abstract Electroencephalography (EEG) has evolved into an indispensable tool in pediatric epilepsy, fundamentally transforming the diagnosis, classification, and management of this condition. This review chronicles the historical journey of EEG from its groundbreaking inception to its current pivotal role in delineating distinct pediatric epilepsy ...
Hiroki Nariai
wiley +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Epilepsia Open, EarlyView.Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
Status epilepticus: Updates on mechanisms and treatments
Epilepsia Open, EarlyView.Abstract Status epilepticus (SE) consists of prolonged, self‐sustaining seizures and is a common neurological emergency that causes respiratory compromise and neuronal injury. Without prompt treatment, the seizures can become resistant to benzodiazepines, leading to the progressive evolution of established, refractory, and super‐refractory SE.
Suchitra Joshi, Jaideep Kapur
wiley +1 more source
Epilepsia Open, EarlyView.Abstract Objectives Temporal lobe epilepsy (TLE) impacts multiple brain networks. Aberrant functional connectivity has been demonstrated in resting‐state networks (RSNs) that mediate higher brain functions in TLE. This study aimed to identify the reproducible patterns of altered functional connectivity in TLE in a large, international cohort through ...
Victoria Ives‐Deliperi +28 more
wiley +1 more source
Epilepsy surgery through a reproductive lifespan lens
Epilepsia, EarlyView.
Aisha A. Abdulrazaq +2 more
wiley +1 more source
Epilepsia Open, EarlyView.Abstract Objective This study aimed to assess long‐term memory outcomes in patients with temporal lobe epilepsy (TLE) who underwent anterior temporal lobectomy (ATL) or selective amygdalohippocampectomy (SAH), compared to nonoperated TLE over a 10‐year follow‐up period.
Tehran Aliyeva +5 more
wiley +1 more source