Results 221 to 230 of about 643,432 (306)

Pediatric sensorimotor cortical responsiveness to intracerebral stimulation during stereoelectroencephalographic monitoring: Age effects and area specificity

open access: yesEpilepsia, EarlyView.
Abstract Objective This study was undertaken to determine how age influences clinical responsiveness to intracerebral electrical stimulation (IES) in children across primary and secondary sensorimotor cortices and to assess age effects on response complexity and area‐specific responsiveness.
Giulia Nobile   +10 more
wiley   +1 more source

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

open access: yesEpilepsia 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

Trajectories and predictors of spherical equivalent among multiethnic school-aged children in Southwest China: a 2.5-year cohort study. [PDF]

open access: yesBMJ Open
Zhang Q   +11 more
europepmc   +1 more source

Febrile status epilepticus and epileptogenesis: The FEBSTAT study

open access: yesEpilepsia Open, EarlyView.
Abstract The multicenter FEBSTAT study (Consequences of Prolonged Febrile Seizures in Childhood: https://grantome.com/grant/NIH/R37‐NS043209‐12; PI S. Shinnar) examined the outcome of febrile status epilepticus (FSE) in over 200 prospectively enrolled infants, with many followed for 10 years after FSE.
Darrell V. Lewis   +14 more
wiley   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

open access: yesEpilepsia 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   +5 more
wiley   +1 more source

Leptin Reduces Running in a Rodent Anorexia Nervosa Model via a Distributed Neural Network

open access: yesEuropean Eating Disorders Review, EarlyView.
ABSTRACT Objective Hyperactivity is a persistent and clinically relevant symptom in anorexia nervosa (AN). Hyperactivity is inversely correlated with leptin levels. While systemic leptin administration attenuates hyperactivity in rodent models, the specific brain regions mediating this effect remain unclear.
Nick J. M. Papavoine   +6 more
wiley   +1 more source

Nutraceutical Evaluation of Biscuits Formulated From Acha, Chia, and Soycake Flours on Glycemic Control, Lipid Profile, and Histopathological Effects in High‐Fat Diet/Streptozotocin‐Induced Type 2 Diabetic Rats

open access: yesFood Chemistry International, EarlyView.
Acha–chia–soycake biscuits improved glucose tolerance, lipid profile, insulin levels, and pancreatic integrity in HFD–STZ diabetic rats. ACSB1 and ACSB13 outperformed acarbose, showing potent antihyperglycemic, hypolipidemic, and pancreatic‐protective effects.
Oluwafunmilayo Christianah Ogunnowo   +5 more
wiley   +1 more source

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