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Cross-evidence for hypnotic susceptibility through nonlinear measures on EEGs of non-hypnotized subjects.

Riccardo Chiarucci, Dario Madeo, Maria I Loffredo, Eleonora Castellani, Enrica L Santarcangelo, Chiara Mocenni

Scientific Reports July 8, 2014 DOI: 10.1038/srep05610 (opens in new tab)

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Characteristics Theoretical or methodological paper Peer reviewed
Population Individuals assessed for hypnotic susceptibility, studied via EEG in their ordinary state of consciousness
Key points Indicators derived from Recurrence Quantification Analysis and Detrended Fluctuation Analysis of EEG signals, recorded during ordinary consciousness, allowed a clear discrimination between subjects with high and low susceptibility to hypnosis, and a neural network approach was used for classification. The authors propose this combined methodology as a route toward quantitative assessment of hypnotic susceptibility.

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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