Epilepsy and Seizure News
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Diagnostic accuracy of artificial intelligence models for seizure outcome prediction after epilepsy surgery: A systematic review and meta-analysis -
Drug-resistant epilepsy (DRE) affects approximately one-third of individuals with epilepsy. Although surgery offers the best chance of durable seizure freedom in appropriately selected patients, postoperative outcomes remain difficult to predict. Artificial intelligence (AI) has been proposed to improve individualized presurgical prediction, but its diagnostic performance has not been quantitat...
Quality assessment of persian epilepsy mobile applications: A systematic review using uMARS and DISCERN -
CONCLUSION: The results showed that Persian-language epilepsy-related apps demonstrated high functionality but limited support for behavior change, engagement, and esthetics. Information quality was generally poor, and none of the evaluated apps were free of charge. These findings highlight the urgent need for developing high-quality, evidence-based epilepsy apps that support comprehensive self...
Effectiveness and safety of brivaracetam in patients with focal epilepsy: A systematic review and meta-analysis -
CONCLUSIONS: Adjunctive BRV achieves a pooled responder rate of 44.0%, with results stable on sensitivity analysis. Longer duration of epilepsy may be associated with reduced effectiveness. BRV exhibits an acceptable safety profile, supporting its use as an adjunctive option for focal epilepsy.
Small sharp spikes precede the development of epileptiform discharges in temporal lobe epilepsy -
Small sharp spikes (SSS), traditionally regarded as benign EEG variants, have increasingly been linked to temporal lobe epileptogenicity. However, their potential role as early EEG biomarkers of temporal lobe epilepsy (TLE) remains unclear. We analyzed 11 patients with or without a prior epilepsy diagnosis whose initial EEGs demonstrated isolated SSS in the absence of interictal epileptiform di...
Bayesian Uncertainty-aware Deep Learning with noisy labels: Tackling annotation ambiguity in EEG seizure detection -
Deep learning is advancing EEG processing for automated epileptic seizure detection and onset zone localization, yet its performance relies heavily on high-quality annotated training data. However, scalp EEG is susceptible to high noise levels, which in turn leads to imprecise annotations of the seizure timing and characteristics. This "label noise" presents a significant challenge in model tra...
Aggression in epilepsy and sleep: from historical accounts to brain networks and human behaviour -
For a long time, epilepsy has been associated with violent behaviour, acquiring a highly stigmatising reputation, shaped mainly by 19th-century medical theories that postulated a direct connection between epilepsy and the criminal personality. Such stigma exerts a negative effect on the quality of life of people with epilepsy and remains a significant concern in forensic settings. This narrativ...
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