ArticleBrain topography2024
A Potential Source of Bias in Group-Level EEG Microstate Analysis.
Article in Brain topography, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A methodological guideline for consciousness assessment via neural electrophysiological activity.Military Medical Research · 2025Guideline
- EEG Microstate Correlates of Emotional Processing in Patients with Alcohol use Disorder and Healthy Controls: An Exploratory Resting-EEG Study.Brain topography · 2026Article
- Altered resting state EEG microstate dynamics in acute concussion in adolescents.Scientific reports · 2026Article
- Microstates and connectivity states reveal task-related network reorganization in Alzheimer's disease patients.Clinical neurophysiology practice · 2026Article
- Resting-state EEG microstates link neural dynamics to fluid intelligence in mild cognitive impairment.Frontiers in aging neuroscience · 2026Article
- Self-related thought alterations associated with intrinsic brain dysfunction in mild cognitive impairment.Scientific reports · 2025Article
- How does Independent Component Analysis Preprocessing Affect EEG Microstates?Brain topography · 2025Article
- Multiple patterns of EEG parameters and their role in the prediction of patients with prolonged disorders of consciousness.Frontiers in neuroscience · 2025Article
- Electroencephalographic Microstates During Sleep and Wake in Schizophrenia.Biological psychiatry global open science · 2024Article
- Influence of Large-Scale Brain State Dynamics on the Evoked Response to Brain Stimulation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- MICROSTATELAB: The EEGLAB Toolbox for Resting-State Microstate Analysis.Brain topography · 2024Article
- Peak alpha frequency and electroencephalographic microstates are correlated with aggression in schizophrenia.Journal of psychiatric research · 2024Article
- Article
- Study Protocol: Global Research Initiative on the Neurophysiology of Schizophrenia (GRINS) project.BMC psychiatry · 2024Article
- Current State of EEG/ERP Microstate Research.Brain topography · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Microstate analysis is a promising technique for analyzing high-density electroencephalographic data, but there are multiple questions about methodological best practices. Between and within individuals, microstates can differ both in terms of characteristic topographies and temporal dynamics, which leads to analytic challenges as the measurement of microstate dynamics is dependent on assumptions about their topographies. Here we focus on the analysis of group differences, using simulations seeded on real data from healthy control subjects to compare approaches that derive separate sets of maps within subgroups versus a single set of maps applied uniformly to the entire dataset. In the absence of true group differences in either microstate maps or temporal metrics, we found that using separate subgroup maps resulted in substantially inflated type I error rates. On the other hand, when groups truly differed in their microstate maps, analyses based on a single set of maps confounded topographic effects with differences in other derived metrics. We propose an approach to alleviate both classes of bias, based on a paired analysis of all subgroup maps. We illustrate the qualitative and quantitative impact of these issues in real data by comparing waking versus non-rapid eye movement sleep microstates. Overall, our results suggest that even subtle chance differences in microstate topography can have profound effects on derived microstate metrics and that future studies using microstate analysis should take steps to mitigate this large source of error.
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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.