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
REM Sleep Behavior Disorder as a Key Predictor of Cognitive Decline: Insights from a Narrative Review. [PDF]
Khorshidian F.
europepmc +1 more source
Neonatal seizures: Advances in diagnosis and management
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
The Utility of Addenbrooke's Cognitive Examination III (ACE-III) in Differentiating Neurodegenerative Disorders with Psychotic Symptoms: A Narrative Review. [PDF]
Barczak A.
europepmc +1 more source
Frontiers in EEG as a tool for the management of pediatric epilepsy: Past, present, and future
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]
Subramanian A +10 more
europepmc +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
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]
de Boer L +11 more
europepmc +1 more source
Parkinsonian signs and cognitive trajectories in older adults: a population-based longitudinal study. [PDF]
Algotsson C +4 more
europepmc +1 more source
Delayed Diagnosis of a Large Parietal Meningioma Presenting as Progressive Proprioceptive Loss: A Case Report and Review of Diagnostic Bias Across Specialties. [PDF]
Fadel MN, Fadel A, Fadel F, Shuayto M.
europepmc +1 more source

