Evidence map›Paper›PMID 39582816›Full record

ArticleNeuroscience of consciousness2024

Phenomenology of auto-induced cognitive trance using text mining: a prospective and exploratory group study.

Audrey Vanhaudenhuyse, Marie-Carmen Castillo, Charlotte Martial, Jitka Annen, Aminata Bicego, Floriane Rousseaux, Leandro R D Sanz, Corine Sombrun, Antoine Bioy, Olivia Gosseries

Abstract read
In one paragraph

Article in Neuroscience of consciousness, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Audrey VanhaudenhuyseConscious Care Lab, GIGA Consciousness, University of Liège, Domaine Universitaire du Sart-Tilman, B34, Liège 4000, Belgium.ORCID https://orcid.org/0000-0002-4288-9237
Marie-Carmen CastilloLaboratory of Psychopathology and Processes of Change, University of Paris 8, 85 boulevard Saint-Germain, Paris 75006, France.
Charlotte MartialComa Science Group, GIGA Consciousness, University of Liège, Domaine universitaire du Sart-Tilman B34, Liège 4000, Belgium.ORCID https://orcid.org/0000-0001-6291-3460
Jitka AnnenComa Science Group, GIGA Consciousness, University of Liège, Domaine universitaire du Sart-Tilman B34, Liège 4000, Belgium.
Aminata BicegoConscious Care Lab, GIGA Consciousness, University of Liège, Domaine Universitaire du Sart-Tilman, B34, Liège 4000, Belgium.
Floriane RousseauxConscious Care Lab, GIGA Consciousness, University of Liège, Domaine Universitaire du Sart-Tilman, B34, Liège 4000, Belgium.
Leandro R D SanzComa Science Group, GIGA Consciousness, University of Liège, Domaine universitaire du Sart-Tilman B34, Liège 4000, Belgium.
Corine SombrunTrance Science Research Institute, 34 Bd des Italiens, Paris 75009, France.
Antoine BioyLaboratory of Psychopathology and Processes of Change, University of Paris 8, 85 boulevard Saint-Germain, Paris 75006, France.
Olivia GosseriesConscious Care Lab, GIGA Consciousness, University of Liège, Domaine Universitaire du Sart-Tilman, B34, Liège 4000, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Auto-induced cognitive trance (AICT) is a modified state of consciousness derived from shamanic tradition that can be practised by individuals after specific training. The aim of this work was to characterize the phenomenological experiences of AICT, using text mining analysis. Free recalls of subjective experiences were audio-recorded in 27 participants after five pseudo-randomized experimental sessions: ordinary conscious resting state, with auditory stimulation and with an imaginary mental task, as well as during AICT with and without auditory stimulation. Recordings were transcribed, normalized total word counts were calculated for each condition, and analyses of content were performed using IRaMuTeQ software. Results showed that the length of the participants' reports was higher for AICT compared to the other conditions, and that the content could be categorized into four classes of discourse: AICT memory, AICT, ordinary conscious states, and AICT with and without stimulation. AICT was also characterized by specific content compared to rest, auditory stimulation, and imagination conditions. Content analysis of the narrative revealed nine categories encompassing the presence of nature, people, animals, positive and negative features, sensory perceptions, body modifications, metacognition, and difficulty of describing thoughts. Among these categories, AICT is specifically characterized by reports related to the presence of nature, animals, body modifications, as well as the difficulty of describing thoughts. These results suggest that a richer phenomenology was reported during AICT, compared to the other conditions, and that AICT constitutes a class of discourse on its own, with a clear dissociation from the other conditions.

Indexed as

auto-induced cognitive trancemodified state of consciousnessnarrative contentphenomenologysubjective experiencetext mining

Identifiers

PMID39582816
PMCPMC11583940

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.