Results 111 to 120 of about 2,671,723 (284)

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

Neurophysiologic evidence for a central sensitization in patients with fibromyalgia

, 2003
To determine whether abnormalities of peripheral and central nociceptive sensory input processing exist outside areas of spontaneous pain in patients with fibromyalgia (FM) as compared with controls, by using quantitative sensory testing (QST) and a ...
Cohen, Paul, A. Finckh, P. Dayer, Finckh, Axel, C. Cedraschi, Cedraschi, Christine, Dayer, Pierre, E. Baumgartner, Desmeules, Jules Alexandre, J. A. Desmeules, P. Cohen, Baumgartner, E, Vischer, T L, E. Rapiti, T. L. Vischer, Rapiti Aylward, Elisabetta, Cohen P, Desmeules JA, Finckh A, Vischer TL, Cedraschi C, Rapiti E, Baumgartner E, Dayer P   +23 more
core   +1 more source

Intestinal microbiome alterations in pediatric epilepsy: Implications for seizures and therapeutic approaches

Epilepsia Open, EarlyView.
Abstract The intestinal microbiome plays a pivotal role in maintaining host health through its involvement in gastrointestinal, immune, and central nervous system (CNS) functions. Recent evidence underscores the bidirectional communication between the microbiota, the gut, and the brain and the impact of this axis on neurological diseases, including ...
Teresa Ravizza, Greta Volpedo, Antonella Riva, Pasquale Striano, Annamaria Vezzani   +4 more
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

Use of Intraoperative Neurophysiological Monitoring (IONM) in a Neonate with Limited Dorsal Myeloschisis

Journal of Spinal Surgery
Limited dorsal myeloschisis (LDM) is a rare form of spinal dysraphism characterized by two constant features: a focal “closed” midline skin defect and a fibro-neural tract connecting the skin lesion to the underlying spinal cord.
Shyam Duvuru, Vivek Sanker, Yusra Arafeh, Rnad Alajarmeh   +3 more
doaj   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

Epilepsy surgery: From bench to the clinics

Epilepsia Open, EarlyView.
Abstract Objective Recent advances in epilepsy surgery in patients with intractable epilepsy make it possible to study the mechanism of epilepsy in human brains. However, the true extent and propagation of each epileptogenic area from the epileptogenic focus in each patient is still difficult to perform “epilepsy cure” by surgery.
Tatsuya Tanaka
wiley   +1 more source

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

A multichannel electromyography dataset for continuous intraoperative neurophysiological monitoring of cranial nerve

Data in Brief
Continuous Intraoperative Neurophysiologic Monitoring (cIONM) is a widely used technology to improve surgical outcomes and prevent cranial nerve injury during skull base surgery.
Wanting Ma, Lin Chen, Xiaofan Pang, Yuanwen Zou   +3 more
doaj   +1 more source

Auditory gamma‐band synchronization and attentional performance in juvenile myoclonic epilepsy

Epilepsia Open, EarlyView.
Abstract Objective Cognitive difficulties in juvenile myoclonic epilepsy (JME) are part of the clinical phenotype alongside epileptic seizures; however, the underlying neurophysiological mechanisms remain unclear. Auditory steady‐state responses (ASSRs) to repetitive 40‐ and 80‐Hz stimuli are widely used measures of gamma‐band oscillations (GBOs ...
Ryo Mitoma, Shunsuke Tamura, Yoji Hirano, Takako Mitsudo, Yubin Sung, Takahiko Mukaino, Takahiro Yamaguchi, Kou Matsumoto, Toshiaki Onitsuka, Shogo Hirano, Tomohiro Nakao, Noriko Isobe, Hiroshi Shigeto   +12 more
wiley   +1 more source