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 …

A GRU–CNN model for auditory attention detection using microstate and recurrence quantification analysis

MR EskandariNasab, Z Raeisi, RA Lashaki… - Scientific Reports, 2024 - nature.com
Attention as a cognition ability plays a crucial role in perception which helps humans to
concentrate on specific objects of the environment while discarding others. In this paper …

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 …

Microstates in resting-state EEG: current status and future directions

A Khanna, A Pascual-Leone, CM Michel… - … & Biobehavioral Reviews, 2015 - Elsevier
Electroencephalography (EEG) is a powerful method of studying the electrophysiology of the
brain with high temporal resolution. Several analytical approaches to extract information …

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 …

[HTML][HTML] Decoding wakefulness levels from typical fMRI resting-state data reveals reliable drifts between wakefulness and sleep

E Tagliazucchi, H Laufs - Neuron, 2014 - cell.com
The mining of huge databases of resting-state brain activity recordings represents state of
the art in the assessment of endogenous neuronal activity—and may be a promising tool in …

Detecting driver drowsiness based on sensors: a review

A Sahayadhas, K Sundaraj, M Murugappan - Sensors, 2012 - mdpi.com
In recent years, driver drowsiness has been one of the major causes of road accidents and
can lead to severe physical injuries, deaths and significant economic losses. Statistics …

Enhanced repertoire of brain dynamical states during the psychedelic experience

E Tagliazucchi, R Carhart‐Harris, R Leech… - Human brain …, 2014 - Wiley Online Library
The study of rapid changes in brain dynamics and functional connectivity (FC) is of
increasing interest in neuroimaging. Brain states departing from normal waking …

The functional significance of EEG microstates—Associations with modalities of thinking

P Milz, PL Faber, D Lehmann, T Koenig, K Kochi… - Neuroimage, 2016 - Elsevier
The momentary, global functional state of the brain is reflected by its electric field
configuration. Cluster analytical approaches consistently extracted four head-surface brain …