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Insights on how stereoelectroencephalography is continuing to improve seizure localization
Progress in stereoelectroencephalography for epilepsy surgery evaluation since Cleveland Clinic performed the first U.S. case in 2009
Model relies on analysis of peri-ictal scalp EEG data, promising wide applicability
Data-driven methods may improve seizure localization and refine surgical decision-making
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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
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
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