title: Dynamic imaging of ictal oscillations using non-invasive high-resolution EEG.
abstract: Scalp electroencephalography (EEG) has been established as a major component of the pre-surgical evaluation for epilepsy surgery. However, its ability to localize seizure onset zones (SOZ) has been significantly restricted by its low spatial resolution and indirect correlation with underlying brain activities. Here we report a novel non-invasive dynamic seizure imaging (DSI) approach based upon high-density EEG recordings. This novel approach was particularly designed to image the dynamic changes of ictal rhythmic discharges that evolve through time, space and frequency. This method was evaluated in a group of 8 epilepsy patients and results were rigorously validated using intracranial EEG (iEEG) (n=3) and surgical outcome (n=7). The DSI localized the ictal activity in concordance with surgically resected zones and ictal iEEG recordings in the cohort of patients. The present promising results support the ability to precisely and accurately image dynamic seizure activity from non-invasive measurements. The successful establishment of such a non-invasive seizure imaging modality for surgical evaluation will have a significant impact in the management of medically intractable epilepsy.
authors: Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA.
authors: Lin
authors: L
authors: Yang
authors: Christopher
authors: C
authors: Wilke
authors: Benjamin
authors: B
authors: Brinkmann
authors: Gregory A
authors: GA
authors: Worrell
authors: Bin
authors: B
authors: He
mesh_terms: D000328:Adult; D001921:Brain / Q000601:surgery*; D004569:Electroencephalography / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D011300:Preoperative Care / Q000379:methods*; D012640:Seizures / Q000601:surgery*; D012815:Signal Processing, Computer-Assisted