The functional aspects of resting EEG microstates: a systematic review
A growing body of clinical and cognitive neuroscience studies have adapted a broadband
EEG microstate approach to evaluate the electrical activity of large-scale cortical networks …
EEG microstate approach to evaluate the electrical activity of large-scale cortical networks …
[HTML][HTML] EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: a review
The present review discusses a well-established method for characterizing resting-state
activity of the human brain using multichannel electroencephalography (EEG). This method …
activity of the human brain using multichannel electroencephalography (EEG). This method …
Electroencephalography
Electroencephalography (EEG) is the non-invasive measurement of the brain's electric
fields. Electrodes placed on the scalp record voltage potentials resulting from current flow in …
fields. Electrodes placed on the scalp record voltage potentials resulting from current flow in …
Large-area MRI-compatible epidermal electronic interfaces for prosthetic control and cognitive monitoring
Skin-interfaced medical devices are critically important for diagnosing disease, monitoring
physiological health and establishing control interfaces with prosthetics, computer systems …
physiological health and establishing control interfaces with prosthetics, computer systems …
The multivariate temporal response function (mTRF) toolbox: a MATLAB toolbox for relating neural signals to continuous stimuli
Understanding how brains process sensory signals in natural environments is one of the key
goals of twenty-first century neuroscience. While brain imaging and invasive …
goals of twenty-first century neuroscience. While brain imaging and invasive …
Electroencephalographic resting-state networks: source localization of microstates
Using electroencephalography (EEG) to elucidate the spontaneous activation of brain
resting-state networks (RSNs) is nontrivial as the signal of interest is of low amplitude and it …
resting-state networks (RSNs) is nontrivial as the signal of interest is of low amplitude and it …
Linear modeling of neurophysiological responses to speech and other continuous stimuli: methodological considerations for applied research
Cognitive neuroscience, in particular research on speech and language, has seen an
increase in the use of linear modeling techniques for studying the processing of natural …
increase in the use of linear modeling techniques for studying the processing of natural …
EEG microstates are a candidate endophenotype for schizophrenia
Electroencephalogram microstates are recurrent scalp potential configurations that remain
stable for around 90 ms. The dynamics of two of the four canonical classes of microstates …
stable for around 90 ms. The dynamics of two of the four canonical classes of microstates …
Are we ready for real-world neuroscience?
Real-world environments are typically dynamic, complex, and multisensory in nature and
require the support of top–down attention and memory mechanisms for us to be able to drive …
require the support of top–down attention and memory mechanisms for us to be able to drive …
Capturing the spatiotemporal dynamics of self-generated, task-initiated thoughts with EEG and fMRI
The temporal structure of self-generated cognition is a key attribute to the formation of a
meaningful stream of consciousness. When at rest, our mind wanders from thought to …
meaningful stream of consciousness. When at rest, our mind wanders from thought to …