ArticleBrain topography2024
Microstate Analysis of Continuous Infant EEG: Tutorial and Reliability.
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 14 papers.
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Who cites it
14 citing papers in PubMed.
- Dopaminergic Drugs Modulate Resting-State EEG Microstates in Healthy Participants.Brain topography · 2026Trial
- rTMS Modulates Static and Dynamic Brain Functional Networks in Children with Autism Spectrum Disorder: An EEG Microstate Study.Brain topography · 2026Trial
- Association Between Spatiotemporal Properties of Global Brain Activity and Childhood Emotional and Behavioral Problems: Evidence from Microstate C.Brain topography · 2026Article
- Microstate Dynamics of Focused Attention Meditation.Brain topography · 2026Article
- Altered EEG microstate associated with anxiety and somatization symptoms in major depressive disorder.Frontiers in psychiatry · 2026Article
- Tutorial on using EEG microstates to study moment-to-moment large-scale functional brain network dynamics in neurodevelopment.Frontiers in neuroscience · 2026Article
- Vision drives the neural construction of a two-stage hierarchy of spatial processing in infancy.iScience · 2025Article
- EEG Resting-state Microstate Dynamics in Children and Adolescents with Avoidant/Restrictive Food Intake Disorder (ARFID).Brain topography · 2025Article
- Self-related thought alterations associated with intrinsic brain dysfunction in mild cognitive impairment.Scientific reports · 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
- Spatiotemporal dynamics of EEG microstate networks over the first two years of life: A multi-cohort longitudinal study.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Characterizing the temporal dynamics and maturation of brain activity during sleep: An EEG microstate study in preterm and full-term infants.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Abnormal Alterations in EEG Microstates and Functional Networks in Anti-LGI1 Antibody Encephalitis.Journal of inflammation research · 2025Article
- Current State of EEG/ERP Microstate Research.Brain topography · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microstate analysis of resting-state EEG is a unique data-driven method for identifying patterns of scalp potential topographies, or microstates, that reflect stable but transient periods of synchronized neural activity evolving dynamically over time. During infancy - a critical period of rapid brain development and plasticity - microstate analysis offers a unique opportunity for characterizing the spatial and temporal dynamics of brain activity. However, whether measurements derived from this approach (e.g., temporal properties, transition probabilities, neural sources) show strong psychometric properties (i.e., reliability) during infancy is unknown and key information for advancing our understanding of how microstates are shaped by early life experiences and whether they relate to individual differences in infant abilities. A lack of methodological resources for performing microstate analysis of infant EEG has further hindered adoption of this cutting-edge approach by infant researchers. As a result, in the current study, we systematically addressed these knowledge gaps and report that most microstate-based measurements of brain organization and functioning except for transition probabilities were stable with four minutes of video-watching resting-state data and highly internally consistent with just one minute. In addition to these results, we provide a step-by-step tutorial, accompanying website, and open-access data for performing microstate analysis using a free, user-friendly software called Cartool. Taken together, the current study supports the reliability and feasibility of using EEG microstate analysis to study infant brain development and increases the accessibility of this approach for the field of developmental neuroscience.
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