Results 181 to 190 of about 59,123 (211)

Corticocortical evoked potential amplitude is altered by cortical stimulation in epilepsy

open access: yesEpilepsia, EarlyView.
Abstract Objective Neurostimulation is an established therapy for drug‐resistant epilepsy, but optimizing stimulation parameters remains a major challenge. Corticocortical evoked potential (CCEP) amplitude may serve as an immediate biomarker of neurostimulation effects, enabling rapid parameter optimization.
Bethany J. Stieve   +4 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

The relationship between secondary school exam performance and lifestyle behaviors at the onset of university education. [PDF]

open access: yesSci Rep
Majauskiene D   +10 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

Measuring reading time: Comparing logged and self-reported data in relation to reading skills. [PDF]

open access: yesPLoS One
Brossette B   +4 more
europepmc   +1 more source

Prevalence and predictors of pediatric high blood pressure: an Egyptian school-based survey. [PDF]

open access: yesBMC Public Health
Elrewany E   +4 more
europepmc   +1 more source

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