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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 ...
Imaging of Epilepsy Surgery, Minimally Invasive Techniques, and Neuromodulation -
Modern epilepsy surgery encompasses traditional resective procedures, minimally invasive ablative techniques, and neuromodulation devices for drug-resistant epilepsy management. Radiologists play critical roles in preoperative planning, procedural guidance, and postoperative surveillance across this therapeutic spectrum. This article examines imaging considerations for intracranial monitoring, ...
Nuclear Imaging of Epilepsy -
For epilepsy, brain single-photon emission computed tomography and PET are noninvasive nuclear medicine studies that can guide complex management decisions and surgical intervention. Due to seizure-related changes in cerebral blood flow and glucose utilization during the ictal and interictal period, these nuclear medicine studies can localize epileptogenic regions and assess broad functional ch...
Neuroimaging-Based Deep Learning Applications for Lesion Detection and Predicting the Outcome Following Epilepsy Surgery -
Neuroimaging studies are essential for evaluating patients with drug-resistant focal epilepsy and determining their candidacy for epilepsy surgery. The past decade has seen the emergence of neuroimaging-based deep learning models, which have been developed to both detect epileptogenic lesions on MR imaging and predict post-surgical seizure outcome. Large, multi-center studies have demonstrated ...
7 Tesla MR Imaging for Evaluation of Epilepsy -
In patients with medically intractable epilepsy, 7T MR imaging may identify epileptogenic lesions that remain occult at lower magnetic field strengths. The higher signal-to-noise ratio and spatial resolution available at 7T allow for improved detection of focal cortical dysplasias and other cortical malformations. Detection and characterization of hippocampal abnormalities and cerebral vascular...
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