… EEG and MEG demonstrate rhythms in brain activity, usually present in the alpha band. As …
In this study, we try to answer these questions by comparing EEG and MEG source spectra of …

… Measures of functional connectivity and information transfer between … Other studies, however,
using electroencephalography … for precortical and cortical activity and information transfer. …

… These form the building blocks of EEG and MEG signals, respectively. In general, we may
state that the EEG reflects mainly the extracellular currents, while the MEG is more sensitive to …

… These terms can be combined into transfer matrices that are stored and retrieved at “run-…
The LU decomposition allows efficient and stable calculation of the transfer matrix using …

… When EEG and MEG are studied in the time or frequency … In this chapter EEG and MEG
are discussed in the spatial … and study the spatial distribution of EEG and MEG (in the sequel …

… ability for transfer learning across subjects is better in EEG. … covert attention is feasible with
EEG and MEG using a data-… MEG regarding DA but with a better transfer learning in EEG. …

… magnetoencephalography (MEG) and electroencephalography (EEG) measurements
that … Our data point to a common mechanistic explanation for the single neuron and MEG/EEG …

… Because of EEG/MEG’s applicability to brainnetome analyses, the aim of this review is to …
a network using EEG/MEG data in sensor or source space and to promote EEG/MEG network …

… In magnetoencephalography (MEG) and electroencephalography (EEG), here collectively
referred to as MEEG, the first guidelines for good practice were published for EEG by Donchin …

… (MEG channels). Further, we explored subject knowledge transfer via transfer learning …
Brattico, Comparing the performance of popular MEG/EEG artifact correction methods in an …