title: Identifying epileptic source location and extent: an iterative sparse electromagnetic source imaging algorithm.
abstract: In this paper we have introduced a novel electromagnetic source imaging (ESI) technique and demonstrated its validity and excellent performance in imaging the location and extent of underlying epileptic sources in patients suffering from focal epilepsy. The proposed algorithm employs ideas from sparse signal processing literature and convex optimization theories to improve source imaging results obtained from scalp-recorded electroencephalogram (EEG). EEG source imaging results generally use subjective methods to determine the extent of the underlying brain activity. The proposed technique provides significant improvement in dealing with such shortcomings and eliminates the need for thresholding. The results of our computer simulations and clinical validation study demonstrate the excellent performance of the proposed algorithm and suggest it may become a useful tool for objectively determining the location and extent of focal epileptic activity in a noninvasive fashion.
authors.forename: Abbas
authors.initials: A
authors.lastname: Sohrabpour
authors.lastname: Yunfeng Lu
authors.forename: Gregory
authors.initials: G
authors.lastname: Worrell
authors.lastname: Bin He
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D004569:Electroencephalography / Q000379:methods*; D055590:Electromagnetic Phenomena; D004828:Epilepsies, Partial / Q000000981:diagnostic imaging*; D004833:Epilepsy, Temporal Lobe / Q000000981:diagnostic imaging* / Q000601:surgery; D005260:Female; D006801:Humans; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted