This paper proposes a novel prewhitening eigenspace beamformer suitable for
magnetoencephalogram (MEG) source reconstruction when large background brain …

The influence of external interference on neuromagnetic source reconstruction by adaptive
beamformer techniques was investigated. In our analysis, we assume that the interference …

The influence of temporarily correlated source activities on neuromagnetic reconstruction by
adaptive beamformer techniques was investigated. It is known that the spatial filter weight of …

We have applied the eigenspace‐based beamformer to reconstruct spatio‐temporal
activities of neural sources from MEG data. The weight vector of the eigenspace‐based …

The authors have developed a method suitable for reconstructing spatio-temporal activities
of neural sources by using magnetoencephalogram (MEG) data. The method extends the …

Beamformers are a commonly used method for doing source localization from
magnetoencephalography (MEG) data. A key ingredient in a beamformer is the estimation of …

In recent years, the use of beamformers for source localisation has significantly improved the
spatial accuracy of magnetoencephalography. In this paper, we examine techniques by …

Objective: Adaptive beamformer methods that have been extensively used for functional
brain imaging using EEG/MEG (magnetoencephalography) signals are sensitive to model …

Adaptive spatial filters (beamformers) have gained popularity as an effective method for the
localization of brain activity from magnetoencephalography (MEG) data. Among the …

Beamforming technique can be applied to map the neuronal activities from
magnetoencephalographic/electroencephalographic (MEG/EEG) recordings. One of the …