ArticleScientific reports2014
Cross-evidence for hypnotic susceptibility through nonlinear measures on EEGs of non-hypnotized subjects.
Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Recent applications of chaos theory in medical sciences: progress and challenges.BMC biomedical engineering · 2026Article
- Physiological Correlates of Hypnotizability: Hypnotic Behaviour and Prognostic Role in Medicine.Brain sciences · 2023Review
- Is Hypnotic Induction Necessary to Experience Hypnosis and Responsible for Changes in Brain Activity?Brain sciences · 2023Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Assessment of hypnotic susceptibility is usually obtained through the application of psychological instruments. A satisfying classification obtained through quantitative measures is still missing, although it would be very useful for both diagnostic and clinical purposes. Aiming at investigating the relationship between the cortical brain activity and the hypnotic susceptibility level, we propose the combined use of two methodologies - Recurrence Quantification Analysis and Detrended Fluctuation Analysis - both inherited from nonlinear dynamics. Indicators obtained through the application of these techniques to EEG signals of individuals in their ordinary state of consciousness allowed us to obtain a clear discrimination between subjects with high and low susceptibility to hypnosis. Finally a neural network approach was used to perform classification analysis.
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