Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) stand as
state-of-the-art techniques for non-invasive functional neuroimaging. On a unimodal basis …

Periodic visual stimulation and analysis of the resulting steady-state visual evoked potentials
were first introduced over 80 years ago as a means to study visual sensation and …

Abstract Electroencephalography (EEG)-based brain-computer interfaces (BCIs) pose a
challenge for decoding due to their low spatial resolution and signal-to-noise ratio. Typically …

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

When people experience negative events, they often try to understand their feelings to
improve the way they feel. Although engaging in this meaning-making process leads people …

In recent years, multiple noninvasive imaging modalities have been used to develop a better
understanding of the human brain functionality, including positron emission tomography …

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 …

A thorough understanding of the EEG signal and its measurement is necessary to produce
high quality data and to draw accurate conclusions from those data. However, publications …

Electroencephalogram source imaging (ESI) pertains to localize brain sources. Due to the
one-to-many relationship between electroencephalogram (EEG) signals and brain sources …

Brain connectivity can be modeled and quantified with a large number of techniques. The
main objective of this paper is to present the most modern and widely established …