Results 131 to 140 of about 1,951,824 (276)
Theory of mind: A cognitive endophenotype of juvenile myoclonic epilepsy?
Abstract Objective Juvenile myoclonic epilepsy (JME), the most common idiopathic generalized epilepsy, is associated with neuropsychological and psychiatric comorbidities, including social cognition and theory of mind (ToM) deficits. The interplay between clinical features, social cognition, and their neural and genetic substrates remains poorly ...
Bernardo Crespo‐Pimentel +13 more
wiley +1 more source
AbstractObjectiveThis study was undertaken to evaluate seizure outcomes after magnetic resonance‐guided laser interstitial thermal therapy (MRgLITT) in children with insular epilepsy and to assess how the extent of ablation overlaps with multimodal definitions of the ictal onset zone (IOZ).MethodsWe conducted a retrospective, single‐center study ...
Lelio Guida +15 more
wiley +1 more source
Creativity and its link to epilepsy
Abstract Creative thinking represents one of our highest‐order cognitive processes, involving multiple cortical structures and an intricate interplay between several cortical and subcortical networks. It results in novel ideas that translate to useful products or concepts. The evolutionary purpose of creativity is therefore apparent, as it advances our
Itay Tokatly Latzer, Phillip L. Pearl
wiley +1 more source
Baptist Health South Florida Neuroscience News - July 2019
https://scholarlycommons.baptisthealth.net/bg-bh-neuroscience-news/1000/thumbnail ...
Baptist Health Neuroscience Center
core +1 more source
An algorithm for seizure detection in rodents
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 +9 more
wiley +1 more source
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
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 +7 more
wiley +1 more source
Comparing Active Learning to Team-Based Learning in Undergraduate Neuroscience.
Team-based learning (TBL) is a special form of collaborative learning that involves the use of permanent working teams throughout the semester. In this highly structured and interactive teaching method, students perform preparatory activities outside of ...
Ng, Minna, Newpher, Thomas
core
Abstract Objective To evaluate the comparative cost‐effectiveness of anterior temporal lobectomy (ATL) and magnetic resonance–guided laser interstitial thermal therapy (LITT) in patients with drug‐resistant mesial temporal lobe epilepsy (mTLE). Methods A decision‐analytic model was constructed to simulate the risks, benefits, and costs of ATL versus ...
Zhihao Guo +4 more
wiley +1 more source
Abstract EEG‐based connectivity analysis has emerged as a promising approach for investigating brain network dynamics in clinical epilepsy research. However, the diversity of analytical approaches, preprocessing pipelines, and reporting practices poses challenges to reproducibility and clinical translation.
Naoto Kuroda +6 more
wiley +1 more source
Exploring the Frontiers of Mathematical Neuroscience: A Comprehensive Bibliometric Analysis. [PDF]
Kurian J +4 more
europepmc +1 more source

