CookiesWe use cookies to enhance your experience and the functionality of our website. By continuing to browse, you are agreeing to our use of cookies. Learn More

CookiesWe use cookies on our website. By continuing to browse, you are agreeing to our use of cookies. Learn More

Black Friday / Cyber Monday 30% Off Sale Plus Free Shipping on Orders Over $49 in the Continental USA! Shop Now

Research Library
Publication

Reducing Suicidal Ideation by Biofeedback‑Guided Respiration – Heart Rate Coherence

    • Published: 2020
    • Herbert F. Jelinek1,2 and Ahsan H. Khandoker1
    • Digital Psychiatry, 2020, 3:1, 1-11. DOI: 10.1080/2575517X.2020.1732733.1. Department of Biomedical Engineering, Khalifa University, Abu Dhabi, UAE. 2. Clinical School, Macquarie University, Sydney, Australia.
    • Download the complete paper, click here.

Abstract

Background

Effectiveness of heart rate variability (HRV) biofeedback is dependent on the relationship between the measured respiratory-heart rate coherence (CHR) and the resonant frequency (RFB) breathing. CHR is driven by the central autonomic network which consists of the interplay between the components of the autonomic nervous system, brainstem modulatory nuclei and cortical function. The extent to which heart rate is in coherence with respiratory frequency and the function of the central autonomic network in major depressive disorder (MDD) and suicidal ideation (SI) has not been investigated.

Method

Sixty-one patients provided informed consent to participate and were divided into no MDD (CONT), MDD and an MDD plus SI (MDDSI) group. HRV activity was determined by multi lag tone-entropy (T-E) and respiratory-CHR at rest was characterized by the relationship between respiratory rate and heart rate.

Results

CONT had the highest entropy compared to the MDDSI group, which had the lowest entropy and highest tone (p < 0.05). Autonomic parasympathetic function was also significantly lower in the MDDSI compared to the MDD group (p < 0.05). CHR indicated a significant phase desynchronization (decrease in coherence) between MDDSI, MDD and CONT (p < 0.05), with MDDSI having the lowest coherence and CONT the highest.

Conclusion

T-E analysis indicated that HRV was significantly different in patients with SI. CHR as measured by our proposed synchronization index provides a novel feature to adapt HRV biofeedback to individual psychiatric profiles and may provide better clinical outcomes for this patient group.