Skip to content

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 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational cohort Peer reviewed
Sample size 25
Population Participants proficient in self-induced cognitive trance
Topics Meditation Altered states of consciousness
Keywords Heart rate variability Autonomic nervous system Vagal tone Somatosensory system Trance Consciousness Parasympathetic nervous system Respiratory rate Cognition Audiology Blood pressure
Citations 24
Key findings 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.

Comparable studies

Other observational and cohort studies on altered states of consciousness, most cited first.

Study Year Design Participants
Neural correlates of the DMT experience assessed with multivariate EEG. 6 female, 7 male human participants 2019 Observational cohort n = 13
Measures of entropy and complexity in altered states of consciousness Subjects during resting wakefulness, different sleep stages, and epileptic seizures 2017 Observational study
Altered States of Consciousness and Short-Term Psychological After-Effects Induced by the First Time Ritual Use of Ayahuasca in an Urban Context in Brazil First-time ayahuasca users in Santo Daime and União do Vegetal rituals 2005 Observational cohort n = 28
Quantifying arousal and awareness in altered states of consciousness using interpretable deep learning Healthy individuals during sleep, individuals under general anesthesia, and patients... 2022 Observational cohort n = 71
Subanaesthetic ketamine and altered states of consciousness in humans Human volunteers 2018 Observational study n = 15

Citations in the library

Cited by 18

and 13 more in the library

Cites 16

and 11 more in the library

Explore topics