Results 131 to 140 of about 141,484 (301)

Predicting epilepsy after new onset refractory status epilepticus due to autoimmune encephalitis: The DAME score

Epilepsia, EarlyView.
Abstract Objective This study aimed to identify risk factors and develop a predictive scoring system for autoimmune‐associated epilepsy in subjects with autoimmune encephalitis presenting with new onset refractory status epilepticus (NORSE). Methods This retrospective, multicenter, cohort study included subjects who presented with NORSE at the onset of
Simona Lattanzi, Sara Matricardi, Alberto Vogrig, Giada Pauletto, Margherita Nosadini, Stefano Sartori, Federico Massa, Luana Benedetti, Stefano Meletti, Francesca Bisulli, Elena Freri, Francesca Felicia Operto, Silvia Bozzetti, Sara Mariotto, Simone Beretta, Eleonora Rosati, Elisabetta Cesaroni, Carla Marini, Tiziana Granata, Flavio Villani, Immune Epilepsies Study Group of the Italian League Against Epilepsy, Ruggero Bernabei, Stefania Maria Bova, Silva Cappanera, Luigi Caputi, Edward Cesnik, Francesco Deleo, Lidia Di Vito, Giuseppe D’Orsi, Giovanni Falcicchio, Elisa Fallica, Edoardo Ferlazzo, Lucia Fusco, Matteo Gastaldi, Giada Giovannini, Angela La Neve, Claudio Liguori, Pietro Mattioli, Lorenzo Muccioli, Carlotta Mutti, Angelo Pascarella, Elena Pasini, Daniela Passarelli, Francesca Ragona, Romana Rizzi, Elena Tartara, Valentina Tontini, Alberto Verrotti, Federica Zibordi, Lucia Zinno, Antonio Zito   +50 more
wiley   +1 more source

Memantine treatment in individuals with GRIN gain‐of‐function variants is associated with improvements in behavior, development, and seizure frequency

Epilepsia, EarlyView.
Abstract Objective GRIN‐related disorders due to pathogenic variants in GRIN1, GRIN2A, GRIN2B, or GRIN2D genes are associated with altered N‐methyl‐D‐aspartate receptor (NMDAR) function. Functional changes include gain (GoF) and loss of receptor function (LoF). Clinical reports describing the use of the NMDAR blocker memantine in GRIN‐related disorders
Maike Karnstedt, Riley E. Perszyk, Scott J. Myers, Ellington McDaniels, Marta Somorai, Ingo Borggraefe, Danielle C. M. Veenma, An‐Sofie Schoonjans, Pasquale Striano, Tadeu A. Fantaneanu, Steffen Syrbe, Kristen Park, Wenjuan Chen, Hongjie Yuan, Stephen F. Traynelis, Timothy A. Benke, Johannes R. Lemke, Ilona Krey   +17 more
wiley   +1 more source

EEG: Electroencephalography

Journal of Criminal Law and Criminology (1931-1951), 1947
openaire   +4 more sources

Optimal approach to standardized documentation in epilepsy clinics: A scoping review

Epilepsia, EarlyView.
Abstract Clear documentation and transfer of information between health care providers is key to ensuring the delivery of high‐quality patient care. Our aim was to determine how to optimize and standardize physician documentation in outpatient epilepsy clinics as well as to highlight challenges and barriers to their implementation.
Shahab Marzoughi, Maren Kimura, Bamby Joseph, Alina Zhao, Diane L. Lorenzetti, Dang K. Nguyen, Mark Keezer, Colin B. Josephson, Nathalie Jetté   +8 more
wiley   +1 more source

Electroencephalography in eating disorders

Neuropsychiatric Disease and Treatment, 2011
Ignacio Jáuregui-Lobera1,21Behavioral Sciences Institute, 2Pablo de Olavide University, Seville, SpainAbstract: Clinical applications of electroencephalography (EEG) are used with different objectives, EEG being a noninvasive and painless ...
Jáuregui-Lobera I
doaj  

Juvenile idiopathic epilepsy in Egyptian Arabian foals, a potential animal model of self‐limited epilepsy in children

Journal of Veterinary Internal Medicine
Background Juvenile idiopathic epilepsy (JIE) is categorized as a generalized epilepsy. Epilepsy classification entails electrocortical characterization and localization of epileptic discharges (ED) using electroencephalography (EEG).
Monica Aleman, Ruba Benini, Sami Elestwani, Tatiana Vinardell   +3 more
doaj   +1 more source

Development and validation of a deep survival model to predict time to seizure from routine electroencephalography

Epilepsia, EarlyView.
Abstract Objective This study was undertaken to develop and validate a deep survival model (EEGSurvNet) that analyzes routine electroencephalography (EEG) to predict individual seizure risk over time, comparing its performance to traditional clinical predictors such as interictal epileptiform discharges (IEDs).
Émile Lemoine, An Qi Xu, Mezen Jemel, Frédéric Lesage, Dang K. Nguyen, Elie Bou Assi   +5 more
wiley   +1 more source

Brain oscillations in bipolar disorder and lithium-induced changes

Neuropsychiatric Disease and Treatment, 2016
Murat İlhan Atagün Department of Psychiatry, Yıldırım Beyazıt University Medical School, Cankaya, Ankara, Turkey Abstract: Electroencephalography (EEG) studies in patients with bipolar disorder have revealed lower amplitudes in brain ...
Atagün M
doaj  

Subject Conditioning for Motor Imagery Using Attention Mechanism

IEEE Access
This paper presents an advanced approach for enhancing electroencephalography (EEG) classification accuracy in motor tasks through the integration of subject-specific features.
Adam Gyula Nemes, Gyorgy Eigner
doaj   +1 more source

Network efficiency and posterior alpha patterns are markers of recovery from general anesthesia: A high-density electroencephalography study in healthy volunteers [PDF]

, 2017
Avidan, Michael S, Bel-Behar, Tarik, Blain-Moraes, Stefanie, Golmirzaie, Goodarz, Janke, Ellen, Kelz, Max B, Mashour, George A, Palanca, Ben J.A., Picton, Paul, Tarnal, Vijay, Vanini, Giancarlo   +10 more
core   +2 more sources