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Prevalence and predictive factors of epilepsy in multiple sclerosis: A cross-sectional study from Saudi Arabia -
CONCLUSION: This study confirms increased epilepsy prevalence among MS patients in Saudi Arabia. Older age is a key risk factor, emphasizing the importance of early screening and management strategies.
Efficacy and quality of life outcomes in deep brain stimulation for epilepsy: A meta-analysis and systematic review -
CONCLUSION: DBS reduces seizure burden and yields early improvements in QOL among patients with DRE, with pooled QOLIE-31 estimates suggesting clinically meaningful gains in the early postoperative period. However, later timepoint estimates were more variable and should be interpreted cautiously, as they do not represent longitudinal trajectories within the same patients. These findings support...
Lateralized neural and oculomotor alterations in temporal lobe epilepsy: A combined eye-tracking and event-related potential study -
CONCLUSIONS: These findings demonstrate that LTLE and RTLE are associated with dissociable oculomotor-ERP patterns. This study establishes that eye-tracking and ERP techniques can objectively reveal latent cognitive deficits in TLE, offering a valuable complement to standard neuropsychological tests.
Intracranial biomarkers for anterior thalamic deep brain stimulation in epilepsy: a long-term observational study -
Deep brain stimulation (DBS) of the anterior nucleus of the thalamus (ANT) is an established treatment for patients with drug-refractory epilepsy (DRE), yet long-term therapeutic outcomes are highly variable and challenging to predict. This variability is compounded by the delayed and gradual effects of DBS, the difficulty of consistent seizure monitoring, and the absence of physiological bioma...
Efficacy and Safety of Zonisamide Addition in Children With Developmental Epileptic Encephalopathy/Epileptic Encephalopathy: A Real-World Study -
CONCLUSION: Adjunctive zonisamide provides sustained efficacy and favorable tolerability in children with DEE/EE, including young children < 6 years and highly drug-resistant cases. Gender and prior treatment history predict long-term efficacy, supporting its reliable risk-benefit profile for refractory epilepsy.
Single-channel EEG-based seizure prediction using deep learning -
Reliable seizure prediction can improve patient safety by enabling timely protective actions, yet most high-performing approaches depend on multichannel EEG, limiting feasibility in wearable and low-power environments. This study developed an ultralight deep learning model for seizure prediction using only single-channel EEG and evaluated its clinical applicability under predefined, clinically ...
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