Results 91 to 100 of about 95,322 (257)
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
Abstract This seminar addresses the complexity of the management of epilepsy in adults with intellectual development disorders (IDD), advocating holistic and multidisciplinary care aligned with the learning objectives of the International League Against Epilepsy. Epilepsy is significantly more prevalent in people with IDD, presenting unique diagnostic,
Elena Fonseca +10 more
wiley +1 more source
Abstract Objective To evaluate the diagnostic utility and genetic spectrum of next‐generation sequencing (NGS) in a large, well‐phenotyped cohort of Turkish pediatric patients with epilepsy of unknown etiology. Methods Between January 2021 and December 2024, 250 children (115 female, 135 male) with unexplained epilepsy underwent either whole‐exome ...
Derya Karaer +4 more
wiley +1 more source
Localizing value of cutaneous ictal phenomena: A systematic review
Abstract Objective Clinical observation of autonomic signs during seizures can aid in localizing the epileptogenic zone (EZ). We performed a systematic review and meta‐analysis to evaluate the localizing value of ictal cutaneous phenomena—piloerection, sweating, pallor, and flushing—in focal epilepsy and their relevance to presurgical evaluation ...
R. Rocamora +7 more
wiley +1 more source
Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie +10 more
wiley +1 more source
Abstract Objective The application of artificial intelligence/machine learning (AI/ML) to magnetic resonance imaging (MRI) promises to enhance and support clinical decision‐making in epilepsy. However, there currently lacks an appropriate assessment of clinical utility and study rigor of current AI/ML‐driven models that are targeted toward supporting ...
Judy Chen +13 more
wiley +1 more source
Information needs of patients considering epilepsy surgery: A scoping review
Abstract Objective Epilepsy surgery is a recommended treatment for individuals with drug‐resistant epilepsy. However, patients often face significant challenges in decision‐making due to a lack of accessible and high‐quality information. Methods We conducted a scoping review to identify the information needs of people considering surgery for epilepsy ...
Maren Kimura +7 more
wiley +1 more source
Abstract Objective Prediction models are increasingly being sought in epilepsy surgery to predict postoperative outcomes and support clinical decision‐making. Studies summarizing the evidence in this area can provide insight into the type of surgical prediction models, their methodology, and their performance and inform areas for future research.
Alyssa A. Federico +5 more
wiley +1 more source

