Brain source localization in the presence of leadfield perturbations

This paper studies the performance of the recently developed G-MUSIC algorithm as applied to the problem of brain source localization. G-MUSIC is a form of weighted MUSIC that performs better in scenarios where only limited sample support is available. Two transfer function based calibration algorithms are also developed to estimate the location of neural activity in the brain accurately when the measured leadfield is perturbed. The localization performance of G-MUSIC is compared to traditional MUSIC and quantified in terms of the localization error. Simulations suggest that G-MUSIC can offer significantly improved localization accuracy over conventional MUSIC.