Artificial intelligence (AI) is rapidly transforming health care, and its applications in epilepsy
have increased exponentially over the past decade. Integration of AI into epilepsy …

Artificial intelligence (AI) allows data analysis and integration at an unprecedented
granularity and scale. Here we review the technological advances, challenges, and future …

Intracranial EEG is used for two main purposes: to determine (i) if epileptic networks are
amenable to focal treatment and (ii) where to intervene. Currently, these questions are …

Epilepsy surgery can eliminate seizures in patients with drug-resistant focal epilepsy.
Surgical intervention requires proper identification of the epileptic network and often …

Studies of intracranial EEG networks have been used to reveal seizure generators in
patients with drug-resistant epilepsy. Intracranial EEG is implanted to capture the epileptic …

Intracranial electroencephalography (iEEG) provides a unique opportunity to record and
stimulate neuronal populations in the human brain. A key step in neuroscience inference …

Purpose To use computational modeling to provide a complete and logical description of the
electrical and thermal behavior during stereoelectroencephalography-guided (SEEG) …

Purpose Stereoelectroencephalography (sEEG) is increasingly utilized for localization of
seizure foci, functional map**, and neurocognitive research due to its ability to target deep …

From data to decision: Scaling artificial intelligence with informatics for epilepsy management -
PMC Skip to main content Here's how you know Official websites use .gov A .gov website …

Patterned brain stimulation is commonly employed as a tool for eliciting plasticity in brain
circuits and treating neuropsychiatric disorders. Although widely used in clinical settings …