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 …
AD Korczyn, SC Schachter, MJ Brodie, SS Dalal… - Epilepsy & Behavior, 2013 - Elsevier
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 …
L Troebinger, JD López, A Lutti, D Bradbury… - Neuroimage, 2014 - Elsevier
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 …
R Xiao, L Ding - Computational and mathematical methods in …, 2013 - Wiley Online Library
With the advancements in modern signal processing techniques, the field of brain‐computer interface (BCI) is progressing fast towards noninvasiveness. One challenge still impeding …