ArticleHuman brain mapping2022
Beyond broadband: Towards a spectral decomposition of electroencephalography microstates.
Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Functional Aspects of Resting EEG Microstates: A Systematic Review.Brain topography · 2024Pooled it
- Frequency-decomposed EEG microstate analysis reveals altered cross-frequency coordination in adolescent major depressive disorder.European archives of psychiatry and clinical neuroscience · 2026Article
- Baseline electrophysiology versus oxidative metabolism as traits of inter-network differences in neurometabolic association.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026Article
- Frequency-specific microstate correlates of ciprofol-induced alterations of consciousness.Frontiers in neuroscience · 2026Article
- Microstate in rats' EEG: a proof of concept study.Translational psychiatry · 2025Article
- Disruption of low-frequency narrowband EEG microstate networks in Parkinson's disease with mild cognitive impairment.Journal of neuroengineering and rehabilitation · 2025Article
- EEG Microstates Signatures of rTMS Response Over the lDLPFC: A Band-Specific Analysis.Brain topography · 2025Article
- Quantifying and evaluating motor imagery ability using EEG microstates in MI-BCI training.Experimental brain research · 2025Article
- Changes in brain network dynamics during functional/dissociative seizures: An exploratory pilot study on EEG microstates.Epilepsy & behavior reports · 2025Article
- Open access dataset integrating behavioral and EEG measures in Chinese spoken word production.Scientific data · 2025Article
- EEG microstate syntax analysis: A review of methodological challenges and advances.NeuroImage · 2025Review
- Neural Oscillatory Mechanisms Underlying Step Accuracy: Integrating Microstate Segmentation with eLORETA-Independent Component Analysis.Brain sciences · 2025Article
- Infant EEG microstate dynamics relate to fine-grained patterns of infant attention during naturalistic play with caregivers.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- EEG microstates dynamics of happiness and sadness during music listening.Frontiers in human neuroscience · 2025Article
- Abnormal Alterations in EEG Microstates and Functional Networks in Anti-LGI1 Antibody Encephalitis.Journal of inflammation research · 2025Article
- Effects of one session of theta or high alpha neurofeedback on EEG activity and working memory.Cognitive, affective & behavioral neuroscience · 2024Article
- Unveiling Frequency-Specific Microstate Correlates of Anxiety and Depression Symptoms.Brain topography · 2024Article
- Fatigue in Multiple Sclerosis: A Resting-State EEG Microstate Study.Brain topography · 2024Article
- EEG microstate transition cost correlates with task demands.PLoS computational biology · 2024Article
- Resting-State Functional Networks Correlate with Motor Performance in a Complex Visuomotor Task: An EEG Microstate Pilot Study on Healthy Individuals.Brain topography · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Originally applied to alpha oscillations in the 1970s, microstate (MS) analysis has since been used to decompose mainly broadband electroencephalogram (EEG) signals (e.g., 1-40 Hz). We hypothesised that MS decomposition within separate, narrow frequency bands could provide more fine-grained information for capturing the spatio-temporal complexity of multichannel EEG. In this study, using a large open-access dataset (n = 203), we first filtered EEG recordings into four classical frequency bands (delta, theta, alpha and beta) and thereafter compared their individual MS segmentations using mutual information as well as traditional MS measures (e.g., mean duration and time coverage). Firstly, we confirmed that MS topographies were spatially equivalent across all frequencies, matching the canonical broadband maps (A, B, C, D and C'). Interestingly, however, we observed strong informational independence of MS temporal sequences between spectral bands, together with significant divergence in traditional MS measures. For example, relative to broadband, alpha/beta band dynamics displayed greater time coverage of maps A and B, while map D was more prevalent in delta/theta bands. Moreover, using a frequency-specific MS taxonomy (e.g., ϴA and αC), we were able to predict the eyes-open versus eyes-closed behavioural state significantly better using alpha-band MS features compared with broadband ones (80 vs. 73% accuracy). Overall, our findings demonstrate the value and validity of spectrally specific MS analyses, which may prove useful for identifying new neural mechanisms in fundamental research and/or for biomarker discovery in clinical populations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.