Magnetoencephalographic (MEG) recordings are a rich source of information about the
neural dynamics underlying cognitive processes in the brain, with excellent temporal and …

Subcortical structures are involved in many healthy and pathological brain processes. It is
crucial for many studies to use magnetoencephalography (MEG) to assess the ability to …

Epilepsy is, of course, not one disease but rather a huge number of disorders that can
present with seizures. In common, they all reflect brain dysfunction. Moreover, they can affect …

We propose a novel ℓ1ℓ2-norm inverse solver for estimating the sources of EEG/MEG
signals. Based on the standard ℓ1-norm inverse solvers, this sparse distributed inverse …

EEG and MEG have excellent temporal resolution, but the estimation of the neural sources
that generate the signals recorded by the sensors is a difficult, ill-posed problem. The high …

Localizing the generators of epileptic activity in the brain using Electro-EncephaloGraphy
(EEG) or Magneto-EncephaloGraphy (MEG) signals is of particular interest during the pre …

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 …

Typically MEG source reconstruction is used to estimate the distribution of current flow on a
single anatomically derived cortical surface model. In this study we use two such models …

This article presents a new spatio-temporal method for M/EEG source reconstruction based
on the assumption that only a small number of events, localized in space and/or time, are …

With the advancements in modern signal processing techniques, the field of brain‐computer
interface (BCI) is progressing fast towards noninvasiveness. One challenge still impeding …