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Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
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Electroencephalography microstates highlight specific mindfulness traits.

D Zarka1,2, C Cevallos1,3, P Ruiz3

  • 1Laboratory of Neurophysiology and Movement Biomechanics, Research Unit in Sciences of Osteopathy, Faculty of Human Motor Sciences, Université Libre de Bruxelles, Brussels, Belgium.

The European Journal of Neuroscience
|January 14, 2024
PubMed
Summary
This summary is machine-generated.

Mindfulness training (MBSR) altered brain activity, specifically reducing microstate C dynamics linked to non-reactivity. This suggests EEG microstates can track mindfulness trait changes and intervention effects.

Keywords:
EEGFFMQmeditationmicrostatemindfulnessphenomenology

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Area of Science:

  • Neuroscience
  • Psychology

Background:

  • Mindfulness is a dispositional trait influencing mental well-being.
  • Resting-state electroencephalography (EEG) microstates offer insights into spontaneous brain network dynamics.

Purpose of the Study:

  • To investigate how mindfulness training (MBSR) affects EEG microstate dynamics.
  • To explore the relationship between microstate temporal dynamics and mindfulness traits.

Main Methods:

  • Resting-state EEG was recorded from MBSR participants and a control group.
  • Microstate analysis identified four microstate classes (A-D).
  • The Five Facet Mindfulness Questionnaire (FFMQ) assessed mindfulness traits.

Main Results:

  • MBSR participants showed increased FFMQ scores, particularly in observing and non-reactivity.
  • The MBSR group exhibited reduced duration, occurrence, and coverage of microstate C.
  • Microstate C parameters correlated negatively with non-reactivity, and microstate A occurrence with total FFMQ scores.

Conclusions:

  • Temporal dynamics of microstate C are associated with the non-reactivity trait of mindfulness.
  • EEG microstate analysis can potentially monitor the impact of mindfulness interventions on mental health.