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StudiuEpilepsieÎncredere înaltă22.06.2026

Complete Atrioventricular Block Mimicking Epileptic Seizure: Urinary Incontinence Without Convulsions

A 70-year-old man presented with recurrent episodes of brief unresponsiveness and urinary incontinence without convulsions, initially suspected as temporal lobe epilepsy based on EEG findings. Subsequent cardiac investigations revealed complete atrioventricular block requiring pacemaker implantation, highlighting the diagnostic challenge of distinguishing syncope from epileptic seizures and the importance of careful EEG interpretation.

StudiuEpilepsieÎncredere înaltă22.06.2026

Late-onset epilepsy with cognitive symptoms: Clinical and neuroimaging comparison with probable Alzheimer's disease

This study compares cognitive, neuropsychological, and neuroimaging profiles of 26 late-onset epilepsy (LOE) patients with cognitive symptoms to 26 probable Alzheimer's disease (AD) patients, using comprehensive assessments including ACE-III cognition testing and 18F-FDG PET-CT imaging. Results showed that while LOE patients exhibited significant cognitive impairment (18% with dementia-range deficits), they demonstrated different cognitive profiles than AD patients, with better naming, memory, and visuospatial abilities but comparable deficits in executive function and attention.

StudiuEpilepsieÎncredere bună21.06.2026

Prediction of Epileptic Seizure Using Deep Learning Techniques

This study proposes a deep learning approach for predicting epileptic seizures using EEG signal analysis, employing convolutional neural networks for feature extraction and Bi-LSTM for classification. The method achieved 99.61% accuracy and aims to improve patient quality of life through early seizure detection and timely intervention.

StudiuEpilepsieÎncredere înaltă21.06.2026

Machine Learning Models for Predicting Anti-Seizure Medication Response in Epilepsy: A Systematic Review

This systematic review of 37 studies examines how machine learning models can predict individual patient responses to anti-seizure medications by analyzing clinical data, brain imaging, EEG, and genetic information. While some models show promising accuracy, results vary widely, and the field faces significant limitations related to data quality and quantity that require further research and standardization.

StudiuEpilepsieÎncredere bună21.06.2026

Time-Dependent Characteristics and Prognosis of Glioblastoma-Related Epilepsy

This study examines temporal patterns and prognostic factors in seizures associated with glioblastoma, a primary brain malignancy. The research aims to characterize how seizure presentation timing relates to patient outcomes and disease progression.

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