1. Cross-evidence for hypnotic susceptibility through nonlinear measures on EEGs of non-hypnotized subjects
- Author
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Riccardo Chiarucci, Eleonora Castellani, Chiara Mocenni, Dario Madeo, Maria I. Loffredo, and Enrica L. Santarcangelo
- Subjects
Adult ,Male ,Hypnosis ,Consciousness ,Brain activity and meditation ,Electroencephalography ,Sensitivity and Specificity ,Article ,Pattern Recognition, Automated ,Young Adult ,Consciousness Monitors ,medicine ,Humans ,Multidisciplinary ,Evidence-Based Medicine ,medicine.diagnostic_test ,Artificial neural network ,Brain ,Reproducibility of Results ,Nonlinear system ,Nonlinear Dynamics ,Recurrence quantification analysis ,Detrended fluctuation analysis ,Hypnotic susceptibility ,Neural Networks, Computer ,Psychology ,Algorithms ,Cognitive psychology - 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.
- Published
- 2014