Data-driven methods may improve seizure localization and refine surgical decision-making
Multivariable models help estimate risk of postoperative declines in cognition and mood
ILAE advises emphasizing options for patients with drug-resistant epilepsy
Mounting support for the newly described microstructure from a 7T MRI and electroclinicopathologic study
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Surgery can be a game changer when medications fail to control seizures
Machine learning models shown to accurately separate lesions from normal brain, distinguish lesion subtypes
But such EEG findings should not preclude tapering of antiseizure medications
International registry study finds SEEG involves less morbidity, greater chance of seizure freedom
Series demonstrates comparable results with an MRI-based decision strategy
Clinical/quantitative model aids in determining surgical candidates