A mechanism-driven real-time respiratory modulation framework for rapid affective regulation via prefrontal EEG computational phenotyping - Summary - MDSpire

A mechanism-driven real-time respiratory modulation framework for rapid affective regulation via prefrontal EEG computational phenotyping

  • By

  • Minglei Sun

  • Haichuan Wu

  • Ming Deng

  • Qingxing Qu

  • June 29, 2026

  • 0 min

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Objective:

To investigate the rapid effects of respiratory modulation on affective states and underlying neurophysiological dynamics.

Approach:
  • Participants: 26 breathwork-naive participants were recruited, with 24 retained for final analysis.
  • Intervention: Participants completed a 40-minute intermittent real-time respiratory modulation protocol comprising two 20-minute sessions.
  • Assessment Methods: Multimodal assessments included electroencephalography (EEG) and the Profile of Mood States (POMS) to quantify changes in affective states.
  • EEG Analysis: Focus on prefrontal oscillatory activity, examining band-specific power variations associated with affective processing.
Key Findings:
  • Significant improvements in affective states with reduced negative psychological symptoms and enhanced positive mood (p < 0.05).
  • Decreased FZ beta-band power and reduced FZ/FCZ beta-band Midline Differential Index (p < 0.05).
  • Theta-band changes were non-significant.
Interpretation:

Short-duration controlled respiration may induce measurable and rapid modulation of both subjective states and neural computational phenotypes of emotion.

Limitations:
  • Small sample size of 24 participants.
  • Exclusion of two EEG datasets due to excessive noise.
Conclusion:

The study provides preliminary evidence for a mechanism-driven link between psychomotor respiratory patterns and prefrontal EEG oscillations.

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