Key result
Self-rated hypnotic depth correlated significantly with the high-frequency component of heart-rate variability, with the average temporal trend fitting a first-order system step response (R2 = 0.99).
Why the study?
Does heart-rate variability correlate with self-rated hypnotic depth in volunteers?
Observational (n=10)
Does heart-rate variability correlate with self-rated hypnotic depth in volunteers?
Effect estimate: R2 = 0.99
Heart-rate variability, specifically the high-frequency component reflecting parasympathetic reactivity, may serve as a real-time, quantitative measure of hypnotic depth.
May support HRV as quantitative hypnosis monitor; leaves open validation in clinical populations.
The authors investigated whether heart-rate variability can serve as a device for real-time quantitative measurement of hypnotic depth. This study compared the continuous self-rated hypnotic depth (SRHD) of 10 volunteers with heart rate, amplitude, and frequency changes from a time-frequency analysis of heart-rate variability (HRV). The authors found significant linear relationships between SRHD and the high-frequency (HF) component of HRV. Specifically, SRHD was correlated negatively with the frequency of the HF component and positively with the amplitude of the HF component. Unexpectedly, the average temporal trend in SRHD fit well (R(2) = .99) to the step response of a first-order system with a 4-minute time constant. The findings suggest that the reactivity of the parasympathetic branch of the autonomic nervous system reflected in HRV could become part of a real-time, quantitative measure of hypnotic depth.
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Diamond et al. (2007) conducted an observational in Hypnotic depth (n=10). Heart-rate variability (HRV) analysis vs. Continuous self-rated hypnotic depth (SRHD) was evaluated on Relationship between SRHD and HRV components (R2 = 0.99). Self-rated hypnotic depth correlated significantly with the high-frequency component of heart-rate variability, with the average temporal trend fitting a first-order system step response (R2 = 0.99).
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