Magnetoencephalography (MEG) is measured above the head, which makes it sensitive to
variations of the head position with respect to the sensors. Head movements blur the …

Several functional brain imaging techniques have been used to study human cortical
organization. Optical imaging of intrinsic signals (OIS) offers perhaps the best combination of …

Motor cortical activity in the beta frequency range is one of the strongest and most studied
movement-related neural signals. At the single trial level, beta band activity is often …

A common problem in brain imaging is how to most appropriately coregister anatomical and
functional data sets into a common space. For surface‐based recordings such as the event …

Synthetic Aperture Magnetometry (SAM) is a beamformer approach for the localisation of
neuronal activity from EEG/MEG data. SAM estimates the optimum orientation of each …

Head movements during neuromagnetic measurements may cause a significant error in the
estimated locations of active brain areas. In this study we present a fast method for …

Detecting environmental change is fundamental for adaptive behavior in an uncertain world.
Previous work indicates the hippocampus supports the generation of novelty signals via …

Using synthetic aperture magnetometry (SAM) analyses of magnetoencephalographic
(MEG) data, we investigated the variation in cortical response magnitude and frequency as a …

Distinct anatomical and spectral channels are thought to play specialized roles in the
communication within cortical networks. While activity in the alpha and beta frequency range …

Precise MEG estimates of neuronal current flow are undermined by uncertain knowledge of
the head location with respect to the MEG sensors. This is either due to head movements …