This paper presents an extensive review on the artifact removal algorithms used to remove
the main sources of interference encountered in the electroencephalogram (EEG) …

In recent years high-frequency brain activity in the gamma-frequency band (30–80 Hz) and
above has become the focus of a growing body of work in MEG/EEG research …

Exploring EEG alpha oscillations has generated considerable interest, in particular with
regards to the role they play in cognitive, psychomotor, psycho-emotional and physiological …

Background The accuracy of EEG source localization depends on a sufficient sampling of
the surface potential field, an accurate conducting volume estimation (head model), and a …

Objective. EEG artifacts of non-neural origin can be separated from neural signals by
independent component analysis (ICA). It is unclear (1) how robustly recently proposed …

Electroencephalogram (EEG), boasting the advantages of portability, low cost, and
hightemporal resolution, is a non-invasive brain-imaging modality that can be used to …

Rising from its contemplative and spiritual traditions, the science of meditation has seen
huge growth over the last 30 years. This chapter reviews the classifications …

Despite decades of research, effects of different types of meditation on
electroencephalographic (EEG) activity are still being defined. We compared practitioners of …

Electroencephalography (EEG) recordings are often contaminated by muscle artifacts. In the
literature, a number of methods have been proposed to deal with this problem. Yet most …

For decades, the frontal alpha asymmetry (FAA)–a disproportion in EEG alpha oscillations
power between right and left frontal channels–has been one of the most popular measures …