Abstract
Abstract To identify most reasonable method for epileptic discharges among various spatial filters using magnetoencephalography (MEG) data, we programmed and evaluated six spatial filters; non-adaptive spatial filters including 1) minimum L2 norm (MN); 2) weight normalized minimum norm (WMN); 3) standardized low resolution brain electromagnetic tomography (sLORETA); and adaptive spatial filters including 4) minimum variance (MV); 5) minimum variance with normalized lead field (MVW); 6) weight normalized minimum variance (WMV). MN showed current sources at superficial nodes. WMN and sLORETA estimated current sources at deep nodes. MV, WMW and WMV were influence by selection of MEG data sets, showed unexpected currents and failed to show expected currents. Our results indicated that sLORETA was most reasonable spatial filter to analyze epileptic discharge because of least influences among them.
Published Version
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