Results 131 to 140 of about 217,698 (299)

Depressive symptoms as independent correlates of epilepsy‐related cognitive burden

Epilepsia, EarlyView.
Abstract Objective This study was undertaken to assess the relationship between the severity of depression and anxiety symptoms and epilepsy‐related variables and cognitive burden in people with epilepsy (PwE), as assessed using EpiTrack. Methods We prospectively enrolled a cohort of PwE who underwent EpiTrack and evaluation by Generalized Anxiety ...
Biagio Maria Sancetta, Giuli Lippa, Marianna Nesta, Lorenzo Ricci, Simona Paola Carbone, Lorenzo Veronese, Giulia Conti, Marco Sferruzzi, Vincenzo Di Lazzaro, Mario Tombini, Giovanni Assenza   +10 more
wiley   +1 more source

SV2A expression in blood cells as a possible biomarker candidate for levetiracetam treatment response

Epilepsia, EarlyView.
Abstract Objective This study was undertaken to evaluate whether synaptic vesicle protein 2A (SV2A) expression on peripheral immune cells predicts treatment response to levetiracetam in epilepsy. Methods High‐dimensional flow cytometry was used to prospectively assess SV2A expression on immune cells from levetiracetam responders, nonresponders, and ...
Johannes Lang, Mathias Linnerbauer, Jeanne Cuny, Veit Rothhammer, Hajo Hamer   +4 more
wiley   +1 more source

Video‐based diagnostics supported by artificial intelligence as an opportunity to address the epilepsy diagnostic gap: A narrative review

Epilepsia, EarlyView.
Abstract Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resource‐limited settings. This narrative review explores the potential of video‐based diagnostics augmented by artificial intelligence (AI) to address this gap by enabling earlier and more accessible seizure detection and classification.
Gadi Miron, Robert Terziev, Maximilian Schöls, John McLaren, Tobias Loddenkemper, Jörg Wellmer, Sigrid Mues, Christian Meisel   +7 more
wiley   +1 more source

Validation of the International League Against Epilepsy (ILAE) Risk of Bias Tool against the Newcastle–Ottawa Scale in epilepsy research

Epilepsia, EarlyView.
Abstract Objective Systematic reviews and meta‐analyses (SRMAs) are critical for synthesizing evidence and guiding clinical and public health decision‐making. This study aims to evaluate the reliability, validity and reproducibility of the International League Against Epilepsy (ILAE) Commission on Epidemiology Risk of Bias Tool by comparing it against ...
Churl‐Su Kwon, Ali Rafati, Nathalie Jette, Charles R. Newton   +3 more
wiley   +1 more source

An algorithm for seizure detection in rodents

Epilepsia Open, EarlyView.
Abstract Objective Epilepsy animal research often relies on long‐term intracranial electroencephalographic (iEEG) recordings. Here, we describe an artificial neural network (ANN) algorithm for automatic detection of seizures. Methods The algorithm was trained on iEEG recordings of three mouse models of chronic epilepsy: (1) the pilocarpine model of ...
Lyna Kamintsky, Gerben van Hameren, Itai Weissberg, Pooyan Moradi, Ofer Prager, Alaa Abu Ahmad, Lior Schori, Albert Becker, Yaniv Zigel, Alon Friedman   +9 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, Douglas R. Nordli Jr., Douglas R. Nordli III, Shlomo Shinnar, Stephen Chan, Jacqueline A. Bello, L. Matthew Frank, James Voyvodic, William Gallentine, Syndi Seinfeld, Yoshimi Sogawa, Erica Weiss, David Masur, Yuan Xu, Solomon L. Moshé   +14 more
wiley   +1 more source

23 vs. 27 g PPV

, 2016
29.
openaire   +2 more sources

ENCEVIS: Evaluating the feasibility of an AI‐based algorithm as an assistant to neurophysiologists in clinical practice

Epilepsia Open, EarlyView.
Abstract Objective This study evaluated the performance of the ENCEVIS artificial intelligence (AI)‐based algorithm as a screening tool to predict the presence of ictal and/or interictal epileptiform discharges (IEDs) in electroencephalography (EEG) recordings.
Aleksandre Tsereteli, Natela Okujava, Nikoloz Malashkhia, Tamar Sakvarelidze   +3 more
wiley   +1 more source

Assessment of Maladaptive Exercise History Among Individuals With Eating Disorders: Validation of a Brief, Self‐Report Measure

European Eating Disorders Review, EarlyView.
ABSTRACT Objective Maladaptive exercise is a common symptom of eating disorders (EDs). While several measures exist to assess current maladaptive exercise, there are no validated self‐report tools to assess maladaptive exercise history—an important symptom domain among individuals with lifetime EDs.
Katherine Schaumberg, Hunna J. Watson, Laura M. Thornton, Hannah L. Kennedy, Shu H. Ong, Preston Roche, Kayla Costello, Wesley R. Barnhart, Sian B. Pauley‐Gadd, Rachael E. Flatt, Andreas Birgegård, Lisa Dinkler, Afrouz Abbaspour, Emma Forsén Mantilla, Elin Monell, Emma M. Frans, Sarah Barakat, Michaela A. Pettie, Richard Parker, Sarah Maguire, Jennifer Jordan, Martin A. Kennedy, Nailah Adams Morancie, Cynthia M. Bulik   +23 more
wiley   +1 more source

Establishing General and Context‐Specific Eating Disorder Examination Questionnaire (EDE‐Q) Cut‐Off Scores for Anorexia Nervosa

European Eating Disorders Review, EarlyView.
ABSTRACT Objective Our aim was to evaluate the diagnostic accuracy of the Eating Disorder Examination Questionnaire (EDE‐Q) scores and establish general and context‐specific cut‐off points for anorexia nervosa (AN) in Australian women. Methods The sample included 67 women with AN, 41 women with a history of AN and restored weight, 100 women with self ...
Rafael Moreton Alves da Rocha, Stephanie Miles, Erica Neill, Andrea Phillipou   +3 more
wiley   +1 more source