Identification of nonconvulsive status epilepticus in the ictal-interictal continuum using artificial intelligence: a prospective observational cohort study

Key Points

• This research aims to identify nonconvulsive status epilepticus (NCSE) by analyzing functional connectivity using machine learning.
• Utilized graph-theoretical functional connectivity derived from EEG data
• Compared NCSE patients with those in coma during the ictal-interictal continuum
• Employed machine learning models for classification
• Functional connectivity measures significantly differed between NCSE and coma-IIC patients
• Machine learning models effectively distinguished between the two conditions