Electroencephalographic (EEG) methods have great potential to serve both basic and
clinical science approaches to understand individual differences in human neural function …

Developmental, resting electroencephalography (EEG) is gaining rapid popularity with
implementation in large‐scale studies as well as a recent WHO report naming resting EEG …

Microstate analysis of resting-state EEG is a unique data-driven method for identifying
patterns of scalp potential topographies, or microstates, that reflect stable but transient …

The theta band is one of the most prominent frequency bands in the
electroencephalography (EEG) power spectrum and presents an interesting paradox: while …

EEG studies play a crucial role in enhancing our understanding of brain development across
the lifespan. The increasing clinical and policy implications of EEG research underscore the …

The quest to understand how the development of the brain supports the development of
complex cognitive functions is fueled by advances in cognitive neuroscience methods …

Automated EEG pre‐processing pipelines provide several key advantages over traditional
manual data cleaning approaches; primarily, they are less time‐intensive and remove …

The field of developmental cognitive neuroscience is advancing rapidly, with large-scale,
population-wide, longitudinal studies emerging as a key means of unraveling the complexity …

It is of great interest to develop advanced sensory technologies allowing non-invasive
monitoring of neural correlates of cognitive processing in people performing everyday tasks …

Feature selection is a crucial step in the model-building pipeline in machine learning (ML)
applications such as Electroencephalogram (EEG) signal processing, providing benefits on …