Results 221 to 230 of about 186,440 (256)

Simultaneous tDCS‐rTMS stimulation to regulate the language network and improve language ability in Landau–Kleffner syndrome

Epilepsia Open, EarlyView.
Abstract Landau–Kleffner syndrome (LKS) is a rare epileptic syndrome causing language regression. In this preliminary study, we investigated the effects of simultaneous transcranial direct current stimulation (tDCS) and transcranial magnetic stimulation (rTMS) on LKS patients and the underlying mechanism based on magnetoencephalography (MEG) network ...
Runze Chen, Xinyan Liu, Xiaohong Qi, Wenwen Shen, Xuerong Leng, Xiating Zhang, Liping Zhang, Yuexin Zhang, Xuan Zhao, Xingyu Wang, Jicong Zhang, Yuping Wang, Yicong Lin   +12 more
wiley   +1 more source

Prolonged aura or status epilepticus? Unmasking a first‐time migraine attack

Epileptic Disorders, EarlyView.
Tiago Lerda Casaccia, Michael Unterhofer, Tobias Moser, Markus Leitinger, Giorgi Kuchukhidze, Eugen Trinka, Pilar Bosque Varela   +6 more
wiley   +1 more source

Frontiers in EEG as a tool for the management of pediatric epilepsy: Past, present, and future

Epilepsia Open, EarlyView.
Abstract Electroencephalography (EEG) has evolved into an indispensable tool in pediatric epilepsy, fundamentally transforming the diagnosis, classification, and management of this condition. This review chronicles the historical journey of EEG from its groundbreaking inception to its current pivotal role in delineating distinct pediatric epilepsy ...
Hiroki Nariai
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

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

Pitfall of false localization in basal temporal epilepsy: A clinical vignette

Epileptic Disorders, EarlyView.
Mathieu Dhoisne, Romain Carron, Fabrice Bartolomei, Stanislas Lagarde   +3 more
wiley   +1 more source

Defining the role of systemic autoimmune markers in adult epilepsy: A focus on autoimmune‐associated epilepsy

Epilepsia Open, EarlyView.
Abstract Objective Autoimmune mechanisms are a recognized cause of adult epilepsy, with immunotherapy offering etiology‐specific treatment. Autoimmune‐associated epilepsy is an emerging clinical entity, for which early diagnosis remains challenging and largely depends on neuronal antibody testing.
I‐Ting Lin, Chiehyu Shen, Chi‐Ting Chung, Chang‐Yu Edward Cheng, Pin‐Yu Chen, Tun Jao   +5 more
wiley   +1 more source

Progressive clonic slowing predicts severity of respiratory dysfunction and prolonged postictal immobility in tonic–clonic seizures

Epilepsia Open, EarlyView.
Abstract Objective Progressive clonic slowing is a common electroclinical phenomenon observed during the clonic phase of bilateral tonic–clonic seizures (BTCS) and reflects an inhibitory phenomenon. We aimed to explore the relationship between progressive clonic slowing and biomarkers implicated in the pathophysiology of sudden unexpected death in ...
John Phamnguyen, Fred Tremayne, Lata Vadlamudi, Cecilie Lander, Stephen Walsh, Xiaohua Chen, Alice‐Ann Sullivan, Viktor Vegh, David Reutens   +8 more
wiley   +1 more source

Using stereo‐electroencephalography data to model the optimal intracranial venous sinus location for an endovascular seizure detection device: A feasibility study

Epilepsia Open, EarlyView.
Abstract Objective We investigated the theoretical optimal venous location for an endovascular seizure detection device using stereo‐EEG (SEEG) data. Methods Six venous sinus segments from consecutive SEEG patients: anterior, middle, and posterior sagittal sinus (SS‐A, SS‐M, SS‐P), straight sinus, and the ipsilateral/contralateral (relative to primary ...
Thanomporn Wittayacharoenpong, Gil Rind, Martin Hunn, Matthew Gutman, Matt Hudson, Zhibin Chen, Joshua Laing, Terence J. O'Brien, Nicholas Opie, Andrew Neal   +9 more
wiley   +1 more source

Prefrontal Cortex Recruitment to Food Stimuli Differs in Overweight/Obesity and Binge Eating Disorder

European Eating Disorders Review, EarlyView.
ABSTRACT Background At a phenotypical level, the repeated occurrence of binge eating episodes clearly differentiates individuals with binge eating disorder (BED) from individuals with overweight but without BED. Their neural profiles during food‐related inhibition, however, indicate prefrontal hypoactivation in both groups.
Jennifer Svaldi, Betti Schopp, Philipp A. Schroeder, Dustin Werle, Ann‐Christine Ehlis   +4 more
wiley   +1 more source