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Performance of an MEG adaptive-beamformer source reconstruction technique in the presence of additive low-rank interference

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4 Author(s)
K. Sekihara ; Dept. of Electron. Syst. & Eng., Tokyo Metropolitan Inst. of Technol., Japan ; S. S. Nagarajan ; D. Poeppel ; A. Marantz

The influence of external interference on neuromagnetic source reconstruction by adaptive beamformer techniques was investigated. In our analysis, we assume that the interference has the following two properties: First, it is additive and uncorrelated with brain activity. Second, its temporal behavior can be characterized by a few distinct activities, and as a result, the spatio-temporal matrix of the interference has a few distinctly large singular values. Namely, the interference can be modeled as a low-rank signal. Under these assumptions, our analysis shows that the adaptive beamformer techniques are insensitive to interference when its spatial singular vectors are so different from a lead field vector of a brain source that the generalized cosine between these two vectors is much smaller than unity. Four types of numerical examples verifying this conclusion are presented.

Published in:

IEEE Transactions on Biomedical Engineering  (Volume:51 ,  Issue: 1 )