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Related Experiment Video

Updated: Sep 19, 2025

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
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Assessing Brain Network Dynamics During Postural Control Task Using EEG Microstates.

Carmine Gelormini1, Lorena Guerrini2,3, Federica Pescaglia2

  • 1Institute of Biomedical and Neural Engineering, Reykjavik University, Reykjavik, Iceland. carmine23@ru.is.

Brain Topography
|June 3, 2025
PubMed
Summary
This summary is machine-generated.

EEG microstate analysis revealed distinct brain dynamics during postural control tasks. Microstate C was significantly elevated, while microstate B was reduced, differentiating experimental phases.

Keywords:
Electroencephalography (EEG)MicrostatesNeural NetworksPostural ControlTemporal Brain DynamicsVirtual Reality

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Area of Science:

  • Neuroscience
  • Human Motor Control
  • Brain Dynamics

Background:

  • Postural control (PC) is vital for daily activities, integrating visual, vestibular, and proprioceptive inputs.
  • Neuroimaging studies identified key brain regions for PC, but rapid neural mechanisms in dynamic tasks are less understood.

Purpose of the Study:

  • To investigate the temporal brain dynamics underlying dynamic postural control using EEG microstate analysis.
  • To explore how different phases of a simulated dynamic balance task are reflected in brain activity patterns.

Main Methods:

  • EEG microstate analysis was applied to data from 266 healthy subjects during a virtual reality balance task (BioVRSea experiment).
  • A modified k-means method identified five EEG microstate maps.
  • Linear mixed models analyzed differences in microstate features (occurrence, duration, coverage) across experimental phases.

Main Results:

  • Significant differences in microstate features were observed between experimental phases.
  • Microstate C exhibited significantly higher temporal parameters across all phases compared to other microstates.
  • Microstate B consistently showed lower temporal parameters compared to other microstates.

Conclusions:

  • This study demonstrates the utility of EEG microstate analysis for studying temporal brain dynamics during dynamic postural control.
  • Microstate C and microstate B play decisive roles in differentiating phases of postural control.
  • Findings suggest potential applications in early detection of neurodegenerative diseases affecting balance.