Results 161 to 170 of about 109,508 (306)
Abstract Recurrent seizures, the hallmark of epilepsy, are influenced by rhythms operating over multiple timescales. Chronobiology is the study of biological timing that aims to explain temporal patterns of events like seizures. Fueled by recent advances in genetics, computational modeling, and device engineering, the chronobiology of epilepsy is now a
Maxime O. Baud +4 more
wiley +1 more source
Abstract Objective Epilepsy surgery in people with focal cortical dysplasia (FCD) requires accurate removal of all epileptogenic tissue, and outcome is difficult to predict. We explored whether spectral entropy, a fast computable electroencephalographic (EEG) feature, could estimate epileptic activity in intraoperative electrocorticography (ioECoG) and
Eline V. Schaft +53 more
wiley +1 more source
Seizure forecasting with epilepsy cycles: On the causality of forecasting pipelines
Abstract Objective Seizure risk is modulated by multiscale brain rhythms. Previous studies using cycles in electroencephalography, heart rate, and wearable data suggest the possibility of forecasting seizures days in advance. However, they commonly rely on methods requiring (days of) information from time points beyond the moment of forecast (noncausal
Hongliu Yang +6 more
wiley +1 more source
Rhythms in longitudinal thalamic recordings are linked to seizure risk
Abstract Objective Seizure unpredictability remains a major clinical challenge for people with epilepsy. Previous works have shown that seizure risk is associated with circadian and multi‐day cycles in both brain and physiological signals. However, it remains unclear whether neural activity from deep brain structures such as the anterior nucleus of the
Xinbing Zhang +5 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
Abstract Infantile epilepsy spasms syndrome (IESS), formerly known as infantile spasms or West Syndrome, is a severe epilepsy syndrome affecting about 3 in 10,000 newborns in the United States. Characterized by clusters of epileptic spasms, interictal hypsarrhythmia, and developmental delays, IESS has diverse causes, including structural‐metabolic ...
Kayla Vieira +5 more
wiley +1 more source
Ketogenic diet for infantile epileptic spasms
Abstract Approximately half of all cases of Infantile Epileptic Spasms Syndrome (IESS) do not respond to vigabatrin and hormonal therapies. There is no clear consensus as to the second‐line therapy for IESS. Ketogenic diet (KD) has emerged as an effective treatment for certain drug‐resistant epilepsies and in many cases of IESS.
Morris H. Scantlebury +3 more
wiley +1 more source
Abstract Objective Traumatic brain injury (TBI) can induce posttraumatic epilepsy (PTE), but early biomarkers for epileptogenesis are lacking. We aimed to investigate electrographic biomarkers before and during posttraumatic seizure development. Methods We used a repetitive diffuse TBI model in mice with continuous video‐EEG monitoring up to 4½ months ...
Oleksii Shandra +7 more
wiley +1 more source
ABSTRACT Objective Anorexia nervosa (AN) is a severe psychiatric disorder displaying an altered gut microbiome. Faecal microbiome transplantation (FMT) has emerged as a powerful research tool and potential treatment option in AN due to the microbiome‐gut‐brain axis. Current studies are limited and reveal variable FMT protocols.
Anna C. Thelen +6 more
wiley +1 more source

