Frontal electroencephalographic (EEG) alpha asymmetry is widely researched in studies of
emotion, motivation, and psychopathology, yet it is a metric that has been quantified and …

The technology to collect brain imaging and physiological measures has become portable
and ubiquitous, opening the possibility of large-scale analysis of real-world human imaging …

An aim of autism spectrum disorder (ASD) research is to identify early biomarkers that inform
ASD pathophysiology and expedite detection. Brain oscillations captured in …

Electroencephalographic (EEG) and magnetoencephalographic (MEG) signals can often be
exposed to strong power line interference at 50 or 60 Hz. A widely used method to remove …

Abstract Objective Recently, Electroencephalogram (EEG) shows potential in the diagnosis
of Alzheimer's disease and other dementia. We aim to investigate whether EEG and …

The ultrafast spatiotemporal dynamics of large-scale neural networks can be examined
using resting-state electroencephalography (EEG) microstates, representing transient …

This study used electrophysiological measures to investigate how attention is deployed to
target and distractor stimuli during visual search using search displays with a small set-size …

Studies of perception and cognition in schizophrenia (SCZ) show neuronal background
noise (ongoing activity) to intermittently overwhelm the processing of external stimuli. This …

Objective: There has been a constant increase in life expectancy with the advancement of
modern medicine. Likewise, dementia has also increased and projected to elevate in the …

A concern in the field of autism electroencephalography (EEG) biomarker discovery is their
lack of reproducibility. In the present study, we considered the problem of learning …