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Autonomic nervous system modulation during self-induced non-ordinary states of consciousness

Victor Oswald, Audrey Vanhaudenhuyse, Jitka Annen, Charlotte Martial, Aminata Bicego, Floriane Rousseaux, Corine Sombrun, Yann Harel, Marie-Elisabeth Faymonville, Steven Laureys, Karim Jerbi, Olivia Gosseries

Scientific Reports September 22, 2023 DOI: 10.1038/s41598-023-42393-7 via OpenAlex

Summary

AI-generated from the abstract

Self-induced cognitive trance (SICT) is a voluntary non-ordinary state of consciousness involving narrowed awareness, hyper-focused immersion, and altered perception. This study examined autonomic nervous system changes during SICT by measuring heart rate variability and respiration rate variability in 25 proficient participants across three conditions: resting state, SICT, and a mental imagery task. During SICT, participants showed increased heart rate, decreased high-frequency heart rate variability, and specific increases in respiratory amplitude, phase ratio, and respiration rate variability compared to control conditions. These findings suggest SICT is associated with reduced parasympathetic activity, indicating a hyperarousal state of the autonomic nervous system.

Study at a glance

Characteristics Observational cohort Peer reviewed
Sample size 25
Population Participants proficient in self-induced cognitive trance
Topics Meditation
Keywords Heart rate variability Autonomic nervous system Vagal tone Somatosensory system Trance
Citations 24
Key finding Self-induced cognitive trance is associated with increased heart rate, decreased high-frequency heart rate variability, and increased respiratory amplitude and respiration rate variability, indicating reduced parasympathetic activity and a hyperarousal state.

Abstract

Self-induced cognitive trance (SICT) is a voluntary non-ordinary state of consciousness characterized by a lucid yet narrowed awareness of the external surroundings. It involves a hyper-focused immersive experience of flow, expanded inner imagery, modified somatosensory processing, and an altered perception of self and time. SICT is gaining attention due to its potential clinical applications. Similar states of non-ordinary state of consciousness, such as meditation, hypnosis, and psychedelic experiences, have been reported to induce changes in the autonomic nervous system. However, the functioning of the autonomic nervous system during SICT remains poorly understood. In this study, we aimed to investigate the impact of SICT on the cardiac and respiratory signals of 25 participants proficient in SICT. To accomplish this, we measured various metrics of heart rate variability (HRV) and respiration rate variability (RRV) in three conditions: resting state, SICT, and a mental imagery task. Subsequently, we employed a machine learning framework utilizing a linear discriminant analysis classifier and a cross-validation scheme to identify the features that exhibited the best discrimination between these three conditions. The results revealed that during SICT, participants experienced an increased heart rate and a decreased level of high-frequency (HF) HRV compared to the control conditions. Additionally, specific increases in respiratory amplitude, phase ratio, and RRV were observed during SICT in comparison to the other conditions. These findings suggest that SICT is associated with a reduction in parasympathetic activity, indicative of a hyperarousal state of the autonomic nervous system during SICT.

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