The Functional Aspects of Resting EEG Microstates: A Systematic Review.
Povilas Tarailis, Thomas Koenig, Christoph M. Michel, Inga Griškova-bulanova
Brain Topography March 2024 DOI: 10.1007/s10548-023-00958-9 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Systematic review Peer reviewed |
|---|---|
| Population | Resting-state EEG microstate studies using questionnaires, tasks, pharmacological interventions, or neuromodulation |
| Keywords | EEG Microstates Functions Neuronal sources Resting state |
| Key findings | Across 50 included studies, the authors systematize functional associations for each microstate: A with auditory and visual processing and arousal, B with self-related visual processing and autobiographical memory, C with self-reflection and personally significant information, D with executive functioning, and E with interoceptive and emotional processing and the salience network. They suggest F is part of the Default Mode Network and that G is potentially linked to the somatosensory network. |
Abstract
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. However, the functional aspects of these microstates have not yet been systematically reviewed. Here, we present an overview of the existing literature and systematize the results to provide hints on the functional role of electrical brain microstates. Studies that evaluated and manipulated the temporal properties of resting-state microstates and utilized questionnaires, task-initiated thoughts, specific tasks before or between EEG session(s), pharmacological interventions, neuromodulation approaches, or localized sources of the extracted microstates were selected. Fifty studies that met the inclusion criteria were included. A new microstate labeling system has been proposed for a comprehensible comparison between the studies, where four classical microstates are referred to as A-D, and the others are labeled by the frequency of their appearance. Microstate A was associated with both auditory and visual processing and links to subjects' arousal/arousability. Microstate B showed associations with visual processing related to self, self-visualization, and autobiographical memory. Microstate C was related to processing personally significant information, self-reflection, and self-referential internal mentation rather than autonomic information processing. In contrast, microstate E was related to processing interoceptive and emotional information and to the salience network. Microstate D was associated with executive functioning. Microstate F is suggested to be a part of the Default Mode Network and plays a role in personally significant information processing, mental simulations, and theory of mind. Microstate G is potentially linked to the somatosensory network.
Citations in the library
Cited by 14
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- Electroencephalography microstates highlight specific mindfulness traits. European Journal of Neuroscience April 1, 2024
- Can repetitive transcranial magnetic stimulation promote recovery of consciousness in patients with disorders of consciousness? A randomized controlled trial. NeuroImage: Clinical 2025
- Uncovering a stability signature of brain dynamics associated with meditation experience using massive time-series feature extraction. Neural Networks March 1, 2024
- Electrophysiological (EEG) microstates during dream‐like bizarre experiences in a naturalistic scenario using immersive virtual reality European Journal of Neuroscience September 11, 2024
and 9 more in the library
Cites 10
- EEG microstates of dreams Scientific Reports October 13, 2020
- Reconfiguration of Electroencephalography Microstate Networks after Breath-Focused, Digital Meditation Training. Brain Connectivity March 1, 2021
- Differentiating propofol-induced altered states of consciousness using features of EEG microstates Biomedical Signal Processing and Control February 1, 2021
- The subsystem mechanism of default mode network underlying rumination: A reproducible neuroimaging study Neuroimage July 22, 2020
- Capturing the spatiotemporal dynamics of self-generated, task-initiated thoughts with EEG and fMRI. Neuroimage July 1, 2019
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