Results 181 to 190 of about 43,561 (219)

Long‐term prognosis of pharmacotherapy in newly diagnosed focal epilepsy patients and the predictive value of baseline seizure timing: A prospective cohort study

open access: yesEpilepsia, EarlyView.
Abstract Objective Epilepsy is a highly heterogeneous neurological disorder with significant prognostic variability. Accurate long‐term outcome prediction remains a clinical challenge. We investigated pharmacotherapeutic prognosis and key predictors, particularly baseline seizure timing, to guide individualized treatment.
Lei Sun   +3 more
wiley   +1 more source

Neonatal seizures: Advances in diagnosis and management

open access: yesEpilepsia Open, EarlyView.
Abstract The International League Against Epilepsy (ILAE) created the ILAE Neonatal Task Force that classified neonatal seizures, defined neonatal epilepsy syndromes, and specified treatment guidelines. These frameworks, in addition to improved access to genetic testing and other recent advances, have revolutionized the diagnosis and management of ...
Elissa G. Yozawitz   +2 more
wiley   +1 more source

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

open access: yesEpilepsia 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

Virtual Dementia in the Digital Age: Neurocognitive Mechanisms, Behavioural Impact and Public Health Implications of Technology Overuse. [PDF]

open access: yesAnn Neurosci
Subramanian A   +10 more
europepmc   +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

Impact of awareness of genetic status on cognitive, behavioral, and neuropsychiatric outcomes in genetic frontotemporal dementia. [PDF]

open access: yesJ Neurol
de Boer L   +11 more
europepmc   +1 more source

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