Results 221 to 230 of about 144,398 (341)

The Clinical Significance of Abnormal Electroencephalography (EEG) Patterns in Patients with Neuropsychiatric Disorders Due to Anti-NMDA Receptor Encephalitis: A Comparative Study. [PDF]

Diagnostics (Basel)
Moreno-Avellán A, Juarez-Jaramillo A, Fernandez Gonzalez-Aragon MDC, Quiñones-Pesqueira G, Pineda-Centeno LM, Espinola-Nadurille M, Martinez-Angeles V, Martinez-Carrillo F, Rivas-Alonso V, San-Juan D, Flores-Rivera J, Ramirez-Bermudez J.   +11 more
europepmc   +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

CBR-Net: A Multisensory Emotional Electroencephalography (EEG)-Based Personal Identification Model with Olfactory-Enhanced Video Stimulation. [PDF]

Bioengineering (Basel)
Ouyang R, Wu M, Lv Z, Wu X.
europepmc   +1 more source

The multiple hit model of infantile and epileptic spasms: The 2025 update

Epilepsia Open, EarlyView.
Abstract Objective Infantile and epileptic spasms syndrome (IESS) is a developmental and epileptic encephalopathy manifesting with epileptic spasms and poor neurodevelopmental outcomes. There is an urgent need for the development of more effective and tolerated therapies.
Aristea S. Galanopoulou, Wenzhu B. Mowrey, Wei Liu, Anna Maria Katsarou, Qianyun Li, Oleksii Shandra, Solomon L. Moshé   +6 more
wiley   +1 more source

Electroencephalography (EEG) for Neurological Prognostication in Post-Anoxic Coma Following Cardiac Arrest and Its Relationship to Outcome. [PDF]

Brain Sci
Shivji Z, Bendahan N, McInnis C, Woodford T, Einspenner M, Calder L, Boissé Lomax L, Shukla G, Winston GP.   +8 more
europepmc   +1 more source

The Caffeinated Brain Part 2: The Effect of Caffeine on Sleep-Related Electroencephalography (EEG)—A Systematic and Mechanistic Review

James Chmiel, Donata Kurpas
openalex   +1 more source

Personalized upper limb stroke rehabilitation using data-driven multi-modal electroencephalography (EEG) and near-infrared spectroscopy (NIRS) based brain computer interface (BCI) with soft robotic glove [PDF]

Isaac Okumura Tan, Lau Ha Chloe Chung, Anna Choo, Zhuo Zhang, Wai Hang Patrick Kwong, Ananda Sidarta, Kai Keng Ang   +6 more
openalex   +1 more source

Detection of interictal epileptiform discharges using multiple bilateral insertions of a newly developed microcatheter‐compatible endovascular electroencephalogram electrode: A clinical feasibility trial

Epilepsia Open, EarlyView.
Abstract Objective To assess the feasibility, technical performance, and safety of a novel endovascular electroencephalogram (eEEG) electrode, EP‐01, designed for minimally invasive seizure localization in patients with drug‐resistant epilepsy. Methods This single‐center, prospective, exploratory trial enrolled five patients with drug‐resistant ...
Kota Araki, Yosuke Masuda, Ayataka Fujimoto, Mitsuyo Nishimura, Hisayuki Hosoo, Hiroki Ishida, Takashi Enokizono, Kensuke Kawai, Eiichi Ishikawa, Yuji Matsumaru   +9 more
wiley   +1 more source

Can electroencephalography (EEG) identify the different dimensions of pain in fibromyalgia? A pilot study. [PDF]

BMC Musculoskelet Disord
Diniz L, Carneiro M, Fonseca A, Shirahige L, Brito R, Melo L, Melo D, Austregésilo M, Piscitelli D, Monte-Silva K.   +9 more
europepmc   +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