Results 131 to 140 of about 107,392 (304)
Long‐lasting remodeling of astrocytes in an Scna1+/− mouse model of Dravet syndrome
Abstract Objective Dravet syndrome (DS) is a prototypical developmental and epileptic encephalopathy caused by mutations in the SCN1A gene, leading to loss of function of the voltage‐gated sodium channel Naᵥ1.1. The latter causes early onset drug‐resistant seizures and enduring cognitive and behavioral deficits.
Athénaïs Genin +10 more
wiley +1 more source
All‐Electric Mimicking of Synaptic Plasticity Based on the Noncollinear Antiferromagnetic Device
Neuromorphic computing, which seeks to replicate the brain's ability to process information, has garnered significant attention due to its potential to achieve brain‐like computing efficiency and human cognitive intelligence.
Cuimei Cao +7 more
doaj +1 more source
Abstract Objective Malformations of cortical development (MCDs) are a frequent cause of drug‐resistant epilepsy and a common indication for resective epilepsy surgery. As magnetic resonance imaging (MRI) lacks sensitivity for subtle MCDs, supplemental diagnostic tools are needed.
Lubna Shakhatreh +10 more
wiley +1 more source
New insights into epileptic spasm generation and treatment from the TTX animal model
Abstract Currently, we have an incomplete understanding of the mechanisms underlying infantile epileptic spasms syndrome (IESS). However, over the past decade, significant efforts have been made to develop IESS animal models to provide much‐needed mechanistic information for therapy development.
John W. Swann +2 more
wiley +1 more source
Absence seizures: Update on signaling mechanisms and networks
Abstract Absence seizures (AS) are a hallmark of genetic generalized epilepsies (GGE), characterized by brief episodes of impaired consciousness accompanied by electroencephalographic spike‐and‐wave discharges (SWDs). Traditionally attributed to cortico‐thalamo‐cortical (CTC) dysrhythmia, emerging evidence suggests a more intricate pathophysiological ...
Ozlem Akman, Filiz Onat
wiley +1 more source
Abstract Background The molecular mechanisms underlying adaptation to physical exertion and racing stress in horses remain incompletely understood. Peripheral blood transcriptomics offers a minimally invasive method to monitor systemic responses to exercise and identify biomarkers of adaptation or overload. Objectives To evaluate transcriptomic changes
Izabela Dąbrowska +4 more
wiley +1 more source
Diabetic encephalopathy (DME) impairs neurobehavior, neurochemicals, oxidative stress, and inflammation. This study evaluated the effects of hesperidin (HSP), exercise (EX), and acarbose (ACA) alone or combined on diabetic rats. Treatments reduced AChE, BChE, ACE, arginase, ATPDase, 5′‐nucleotidase, ADA, LDH, TBARS, and ROS, while increasing IL‐10, SOD,
Idowu Sunday Oyeleye +5 more
wiley +1 more source
Dietary and biomarker‐guided strategies as supportive measures in the fragile X syndrome
Abstract The fragile X syndrome (FXS) is an inherited neurodevelopmental disorder that primarily affects males, often resulting in an IQ below 55, while about two‐thirds of females also experience intellectual disability. Physical features may include an elongated face, prominent ears, finger joint laxity, and enlarged testes in males.
Jailan E. El Halawani, Reem R. AlOlaby
wiley +1 more source
Luzhou‐Flavor Baijiu Alleviates Stress‐Related Depressive‐Like Changes by NMDAR‐NO‐sGC‐cGMP Pathway
Luzhou‐flavor baijiu (LFB) alleviates depressive‐like phenotypes in CRS‐induced mice and protects HT22 cells from corticosterone damage, with mechanisms linked to suppressing the NMDAR‐nNOS/iNOS‐NO‐sGC‐cGMP pathway. ABSTRACT Moderate alcohol consumption has been suggested to alleviate anxiety and depression; however, it remains unclear whether Luzhou ...
Li Xiong +10 more
wiley +1 more source
Research progress on the depth of anesthesia monitoring based on the electroencephalogram
Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley +1 more source

