Results 271 to 280 of about 391,221 (333)

Targeting Hsp90 with cemdomespib reduces seizure burden and alters disease course in preclinical epilepsy models

Epilepsia, EarlyView.
Abstract Objective Epilepsy is a chronic neurological disorder characterized by recurrent seizures and frequent cognitive and psychiatric comorbidities. Although current antiseizure medications provide symptomatic relief, they fail to prevent or modify epileptogenesis.
Yara Sheeni, Prince Kumar Singh, Sereen Sandouka, Taige Zhang, Alina Nemirovski, Aseel Saadi, Rhoda Olowe Taiwo, Matthew C. Walker, Tawfeeq Shekh‐Ahmad   +8 more
wiley   +1 more source

A Unified Performance Analysis of the Effective Capacity of Dispersed Spectrum Cognitive Radio Systems over Generalized Fading Channels. [PDF]

, 2017
Κωνσταντίνα Κανελλοπούλου, Kostas P. Peppas, P. Takis Mathiopoulos   +2 more
openalex  

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

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

Statistical Experimental Design Framework for Cognitive Radio

, 2012
Ashwin Amanna
openalex   +1 more source

Comparative assessment of artificial intelligence chatbots' performance in responding to healthcare professionals' and caregivers' questions about Dravet syndrome

Epilepsia Open, EarlyView.
Abstract Objective Artificial intelligence chatbots have been a game changer in healthcare, providing immediate, round‐the‐clock assistance. However, their accuracy across specific medical domains remains under‐evaluated. Dravet syndrome remains one of the most challenging epileptic encephalopathies, with new data continuously emerging in the ...
Joana Jesus‐Ribeiro, Eugenia Roza, Bárbara Oliveiros, Joana Barbosa Melo, Mar Carreño   +4 more
wiley   +1 more source

Timing is everything: The effect of early‐life seizures on developing neuronal circuits subserving spatial memory

Epilepsia Open, EarlyView.
Abstract Spatial memory, the aspect of memory involving encoding and retrieval of information regarding one's environment and spatial orientation, is a complex biological function incorporating multiple neuronal networks. Hippocampus‐dependent spatial memory is not innate and emerges during development in both humans and rodents.
Gregory L. Holmes
wiley   +1 more source

Ambient technology in epilepsy clinical practice

Epilepsia Open, EarlyView.
Abstract The utilization of large language model‐based artificial intelligence (AI) in the field of neurology has gained attention as a viable tool to enhance and assist providers with processes ranging from scheduling patients to providing preliminary interpretations of testing results, pending orders, and documenting encounters. Epileptologists could
Haania Kakwan, Justin F. Rousseau, Lidia M. Moura, Irfan S. Sheikh   +3 more
wiley   +1 more source

Multiantenna Spectrum Sensing With Alpha-Stable Noise for Cognitive Radio-Enabled IoT

Junlin Zhang, Mingqian Liu, Yunfei Chen, Nan Zhao, Yuting Han, Ning Zhang   +5 more
openalex   +2 more sources

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