Application of multi-source minimum variance beamformers for reconstruction of correlated neural activity

@article{Moiseev2011ApplicationOM,
  title={Application of multi-source minimum variance beamformers for reconstruction of correlated neural activity},
  author={Alexander Moiseev and John M. Gaspar and Jennifer A. Schneider and Anthony T. Herdman},
  journal={NeuroImage},
  year={2011},
  volume={58 2},
  pages={481-96}
}
Linearly constrained minimum variance beamformers are highly effective for analysis of weakly correlated brain activity, but their performance degrades when correlations become significant. Multiple constrained minimum variance (MCMV) beamformers are insensitive to source correlations but require a priori information about the source locations. Besides the question whether unbiased estimates of source positions and orientations can be obtained remained unanswered. In this work, we derive MCMV… CONTINUE READING
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A Practical guide for MEG and beamforming

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  • magnetometry', Brain Cogn.,
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