Results 211 to 220 of about 431,919 (294)

Perturbation‐induced responses improved seizure forecasting in epileptic rats

Epilepsia, EarlyView.
Abstract Objective The unpredictability of seizures is one of the most challenging aspects of uncontrolled epilepsy for patients. Prior work forecasting seizure risk has measured changes in passive intracranial electroencephalographic (EEG) signals, but currently, there are no such clinical devices available.
Wei‐Chih Chang, Jack Lin, Warwick Cheung, Alan Lai, Mark J. Cook, David B. Grayden, William C. Stacey   +6 more
wiley   +1 more source

Effectiveness of Inactivated COVID-19 Vaccination Against COVID-19-Related Hospitalization and Severe Outcomes in Adults ≥80 Years During Omicron Circulation in Beijing, China: Retrospective Cohort Study.

JMIR Public Health Surveill
Zhao D, Ma Y, Li J, Li X, Cao Z, Yao W, Wu J, Suo L.   +7 more
europepmc   +1 more source

Comparison of Bowel Preparation Quality for Colonoscopy Between Inpatients and Outpatients: A Single-Center Prospective Observational Study in Lebanon. [PDF]

Cureus
Alkhalil N, Ayoub S, Nasser N, Bou Serhal R, Kawtharani AA, Hussein R, Hotayt B.   +6 more
europepmc   +1 more source

Serum NfL, GFAP, and p‐tau217 in adults with drug‐resistant epilepsy and intellectual disabilities: Signs of ongoing neural injury

Epilepsia, EarlyView.
Abstract Objective Adults with epilepsy and intellectual disabilities (IDs) may be at increased risk of dementia, but clinical evaluation is complex and use of conventional biomarkers is often considered too invasive. We explored abnormality of serum neurofilament light chain (NfL), glial fibrillary acidic protein (GFAP), and phosphorylated tau‐217 (p ...
Hadassa Kwetsie, Inge M. W. Verberk, Jans S. van Ool, Anneke J. J. Rampen, Rebecca Z. Rousset, Nicole I. Wolf, Dederieke A. M. Maes‐Festen, Clara D. M. van Karnebeek, Charlotte E. Teunissen, Erik Boot, Agnies M. van Eeghen   +10 more
wiley   +1 more source

Epidemiology and Outcomes of Pediatric Fever in a Rural District of Southern Mozambique: 17 Years of Morbidity Surveillance. [PDF]

Open Forum Infect Dis
Torres-Fernandez D, Dalsuco J, Garcia-Mauriño C, Balanza N, Valente M, Ajanovic S, Varo R, Fanjul J, Bramugy J, Sitoe A, Quintó L, Nhampossa T, Taylor E, Vialard F, Nhacolo A, Baro B, Cossa A, Boca Z, Massora S, Alemany A, Mandomando I, Millat-Martinez P, Aide P, Bassat Q.   +23 more
europepmc   +1 more source

Spike detection in the wild: Screening of suspected temporal lobe epilepsy cases using a tailored 2‐channel wearable EEG

Epilepsia Open, EarlyView.
Abstract Objective To clinically validate the contribution of a custom‐built EEG wearable device (waEEG) compared to a full 10–20 electrode array ambulatory EEG (aEEG) for screening epilepsy cases in patients with suspected temporal lobe epilepsy (TLE) but negative routine EEGs. Methods Patients (aged 16–91 years) with clinically suspected TLE who were
Daniel Filipe Borges, Joana Isabel Soares, Daniela Dias, Helena Cordeiro, Alberto Leal   +4 more
wiley   +1 more source

Sleep Complaints in the Psychiatric Hospital: A Qualitative Study of Nurses and Psychiatrists' Approaches to Sleep Management in a Swiss Psychiatric Hospital. [PDF]

Clocks Sleep
Ribas MDI, Solelhac G, Haba-Rubio J, Elowe J, Griffith V.   +4 more
europepmc   +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, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source