The functional aspects of resting EEG microstates: a systematic review

P Tarailis, T Koenig, CM Michel, I Griškova-Bulanova - Brain topography, 2024 - Springer
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 …

[HTML][HTML] EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: a review

CM Michel, T Koenig - Neuroimage, 2018 - Elsevier
The present review discusses a well-established method for characterizing resting-state
activity of the human brain using multichannel electroencephalography (EEG). This method …

Electroencephalography

A Biasiucci, B Franceschiello, MM Murray - Current Biology, 2019 - cell.com
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 …

Large-area MRI-compatible epidermal electronic interfaces for prosthetic control and cognitive monitoring

L Tian, B Zimmerman, A Akhtar, KJ Yu… - Nature biomedical …, 2019 - nature.com
Skin-interfaced medical devices are critically important for diagnosing disease, monitoring
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

MJ Crosse, GM Di Liberto, A Bednar… - Frontiers in human …, 2016 - frontiersin.org
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 …

Electroencephalographic resting-state networks: source localization of microstates

A Custo, D Van De Ville, WM Wells, MI Tomescu… - Brain …, 2017 - liebertpub.com
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 …

Linear modeling of neurophysiological responses to speech and other continuous stimuli: methodological considerations for applied research

MJ Crosse, NJ Zuk, GM Di Liberto, AR Nidiffer… - Frontiers in …, 2021 - frontiersin.org
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 …

EEG microstates are a candidate endophenotype for schizophrenia

JR da Cruz, O Favrod, M Roinishvili, E Chkonia… - Nature …, 2020 - nature.com
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 …

Are we ready for real-world neuroscience?

PJ Matusz, S Dikker, AG Huth… - Journal of cognitive …, 2019 - direct.mit.edu
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 …

Capturing the spatiotemporal dynamics of self-generated, task-initiated thoughts with EEG and fMRI

L Bréchet, D Brunet, G Birot, R Gruetter, CM Michel… - Neuroimage, 2019 - Elsevier
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 …