Multiscale predictive modeling robustly improves the accuracy of pseudo-prospective seizure forecasting in drug-resistant epilepsy -
Extensive research over the past two decades has focused on identifying a preictal period in scalp and intracranial encephalography (iEEG). This effort has led to numerous seizure prediction and forecasting algorithms, with moderate success on datasets consisting of curated and pre-segmented EEG. When evaluated pseudo-prospectively on continuous EEG recordings, existing algorithms often exhibit...
Seizure outcomes after primary brain tumor resection in adults: Experience of two tertiary centers in Saudi Arabia -
CONCLUSION: Approximately half of patients achieved seizure freedom for at least 1 year after surgical resection. Tumor recurrence and frequent preoperative seizures were associated with a higher risk of postoperative seizures. ASM withdrawal may be feasible in selected patients with stable low-risk disease using careful risk stratification.
Localization of ictal fear and related brain network -
CONCLUSIONS: These findings delineate the regional and network-level electrophysiological features associated with IF. IF is not attributable to a single anatomical substrate but is instead linked to abnormal engagement of distributed limbic-prefrontal networks, with a core connectivity pattern centered on hippocampus-anterior cingulate interactions. Adopting a network-based perspective may fac...
Brain signal irregularity may provide clues to understanding epileptic process -
Researchers propose a new method to differentiate signals from the epileptic focus from those recorded in other parts of the brain without the presence of an epileptic seizure. This technique may help detect epilepsy-induced features from these signals much quicker than conventional analysis techniques.
Breakthrough tech enables seizure localization in minutes -
New research introduces a novel network analysis technology that uses minimally invasive resting state electrophysiological recordings to localize seizure onset brain regions and predict seizure outcomes in just 10 minutes.
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