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Related Experiment Video

Updated: Jul 18, 2025

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
06:40

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

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EEG Microstates in Mood and Anxiety Disorders: A Meta-analysis.

Alina Chivu1,2, Simona A Pascal2, Alena Damborská3,4

  • 1CINETic Center, National University of Theatre and Film "I.L. Caragiale" Bucharest, Bucharest, Romania.

Brain Topography
|August 24, 2023
PubMed
Summary

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EEG Microstates Signatures of rTMS Response Over the lDLPFC: A Band-Specific Analysis.

Brain topography·2025
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Brain-Scale Electroencephalography Patterns of Sleep and Wake in Schizophrenia.

Biological psychiatry global open science·2025
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Correlating plasma protein profiles with symptomatology and treatment response in acute phase and early remission of major depressive disorder.

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Case report: Therapeutic drug monitoring and CYP2D6 phenoconversion in a protracted paroxetine intoxication.

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Valence-specific EEG microstate modulations during self-generated affective states.

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Social functioning predicts individual changes in EEG microstates following intranasal oxytocin administration: A double-blind, cross-over randomized clinical trial.

Psychophysiology·2024

Electroencephalography (EEG) microstates show consistent differences in mood and anxiety disorders. These brain dynamics may reveal common neuro-dynamical mechanisms underlying these prevalent conditions.

Area of Science:

  • Neuroscience
  • Psychiatry
  • Brain Dynamics

Background:

  • Mood and anxiety disorders are prevalent, co-occurring conditions with significant psycho-social burden.
  • Previous studies show inconsistent alterations in EEG microstate dynamics in these disorders, hindering understanding of common neuro-dynamical mechanisms.
  • High inter-study variability complicates the interpretation of fast temporal dynamics of large-scale brain networks.

Conclusions:

  • EEG microstates demonstrate consistent alterations in mood and anxiety disorders, suggesting potential as diagnostic markers.
  • Findings contribute to understanding the neuro-dynamical mechanisms and overlapping symptomatology of these conditions.
  • Further research is needed to confirm diagnostic specificity of observed microstate changes.
Keywords:
AnxietyBipolar DisorderDepressionMeta-AnalysisMicrostatesPTSDPanic Disorder

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