Statistical Mapping of Cortical Activities using Minimum-Variance Maximum-Discrimination Spatial Filtering

Abstract

This paper presents a new spatial filtering technique for statistical mapping of neuronal sources by using magnetoencephalography data. In addition to the unit-gain constraint and the minimum-variance criterion that can reconstruct the activation magnitude of the targeted source while suppressing the contribution from other sources, the proposed technique… (More)

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