A mechanism-driven real-time respiratory modulation framework for rapid affective regulation via prefrontal EEG computational phenotyping - Report - 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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Clinical Report: A Real-Time Framework for Respiratory Modulation

Overview

This study presents a real-time respiratory modulation framework aimed at regulating affective disturbances through prefrontal EEG analysis. Significant improvements in affective states were observed, alongside measurable changes in EEG oscillatory activity.

Background

Affective disturbances are prevalent in psychiatric disorders, posing challenges for effective treatment. Respiratory modulation has emerged as a non-invasive intervention strategy that can influence both physiological and psychological states. Understanding the relationship between respiration and affective processing is crucial for developing effective therapeutic approaches in clinical psychiatry.

Data Highlights

MeasureBefore InterventionAfter Interventionp-value
Negative Psychological SymptomsHighLow< 0.05
Positive MoodLowHigh< 0.05
FZ Beta-Band PowerHighLow< 0.05
FZ/FCZ Beta-Band Midline Differential IndexHighLow< 0.05

Key Findings

  • Participants showed significant improvements in negative psychological symptoms post-intervention.
  • Positive mood levels increased significantly after the respiratory modulation protocol.
  • EEG analysis indicated decreased FZ beta-band power associated with affective regulation.
  • The FZ/FCZ beta-band Midline Differential Index decreased significantly, indicating changes in neural activity.
  • Theta-band changes were non-significant, suggesting specific cortical responses to the intervention.

Clinical Implications

The findings suggest the potential of respiratory modulation as a non-pharmacological intervention for affective disturbances.

Conclusion

This study highlights the effects of respiratory modulation on affective states and EEG patterns.

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