Detection of focal impaired awareness seizures using a biometric shirt
Abstract Objective In recent years, seizure detection using wearable technology has gained significant attention in research. Most studies, however, have focused on detecting generalized or focal to bilateral tonic–clonic seizures. This study evaluates the feasibility of using a biometric shirt to detect focal impaired awareness seizures (FIAS) by ...
Jérôme St‐Jean +6 more
wiley +1 more source
Ictal vomiting as the first manifestation of Tuberous Sclerosis Complex: report of two pediatric cases. [PDF]
Cuzzola E +7 more
europepmc +1 more source
Source localization of the seizure onset zone from ictal EEG/MEG data
G. Pellegrino +7 more
semanticscholar +1 more source
Febrile status epilepticus and epileptogenesis: The FEBSTAT study
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
White matter signals reflect information transmission between brain regions during seizures. [PDF]
Revell AY +15 more
europepmc +1 more source
Frontiers in EEG as a tool for the management of pediatric epilepsy: Past, present, and future
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
Video-EEG/polygraphy in status epilepticus. [PDF]
d'Orsi G +3 more
europepmc +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
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
Impact of laterality on seizure duration in mesial temporal lobe epilepsy with hippocampal sclerosis. [PDF]
Turk BG +9 more
europepmc +1 more source
Epileptic drop attacks: More than just atonic seizures
Abstract “Drop attacks” are not officially defined by the International League Against Epilepsy. Seizures are characterized by a sudden loss of control over the trunk and posture, leading to falls and injuries, and resolving within a few seconds. Accurately diagnosing the type of seizure is usually difficult due to limitations in clinical documentation
Tomonori Ono +3 more
wiley +1 more source

