Results 181 to 190 of about 191,604 (267)
Abstract Objective Febrile seizures (FS) are the most common seizures in childhood, yet identifying children at risk of developing epilepsy after the first FS remains challenging. We aimed to evaluate the prognostic potential of machine learning (ML) algorithms applied to post‐febrile seizure electroencephalography (EEG) recordings.
Boran Şekeroğlu +7 more
wiley +1 more source
Electroencephalography for monitoring cortical electrical activity related to intracranial pressure in patients with traumatic brain injury: a systematic review. [PDF]
Lenstra JJ +8 more
europepmc +1 more source
Ictal dancing following right temporal seizure onset—Evidence for a distributed network
Epileptic Disorders, EarlyView.
Leo Y. Zhang +3 more
wiley +1 more source
De novo TANC2 stop‐loss variant associated with developmental impairment and drug‐resistant epilepsy
Epileptic Disorders, EarlyView.
Matthew A. Hintermayer, Kenneth A. Myers
wiley +1 more source
Abstract Objective Hypsarrhythmia is the classical EEG pattern of children with infantile epileptic spasms syndrome (IESS). Multifocal spikes, slow waves of large amplitude, and chaoticity are its main characteristics, but these lack clear definitions, and the interrater reliability (IRR) is poor.
T. P. Cramer +4 more
wiley +1 more source
Shared spatial and temporal principles govern connectome dynamics across timescales. [PDF]
Alderson TH +12 more
europepmc +1 more source
Ictal semiology in fronto‐opercular epilepsy: A systematic review
Abstract A systematic review of the ictal semiology of fronto‐opercular seizures in focal epilepsy was carried out to assess possible anatomical‐clinical correlations and help guide interpretation of ictal semiology during pre‐surgical evaluation. PubMed and Embase databases were searched using the following keywords: “fronto‐opercular OR frontal ...
Zeynep Gokce‐Samar +9 more
wiley +1 more source
EEG-ShuffleFormer: A Multi-View Hybrid Network Integrating Time-Frequency and Raw Signal Representations for Few-Channel Motor Imagery EEG Classification. [PDF]
Fan K, Gu Q, Ruan Y.
europepmc +1 more source

