The impacts of hypnotic susceptibility on chaotic dynamics of EEG signals during standard tasks of Waterloo-Stanford Group Scale

References

• Kallio, S., and Revonsuo, A., 2003, Hypnotic phenomena and altered states of consciousness: A multilevel framework of description and explanation. Contemporary Hypnosis, 20, 111–164
   Google Scholar
• Gruzelier, J.H., 1998, A working model of neurophysiology of hypnotic relaxation. INABIS '98, 5th Internet World Congress for biome dical sciences at McMaster University, Canada; 1998. Available online at: http://www.mcmaster.ca/inabis98/woody/gruzelier0814/two.html. [last accessed 14 May 2013]
   Google Scholar
• Brady, B., and Stevens, L., 2000, Binaural-beat induced theta EEG activity and hypnotic susceptibility. American Journal of Clinical Hypnosis, 43, 53–69
   PubMed Web of Science ®Google Scholar
• Temes, R., 1999, Medical hypnosis: an introduction and clinical guide. (London: Churchill Livingstone)
   Google Scholar
• Bowers, K.S., 1998, Waterloo-Stanford group scale of hypnotic susceptibility, form C: Manual and response booklet. International Journal of Clinical Hypnosis, 46, 250–268
   PubMed Web of Science ®Google Scholar
• Krisch, I., Milling, L.S., Burgess, C.H., 1998, Experimental scoring for the Waterloo-Stanford group scale. International Journal of Clinical Hypnosis, 46, 269–279
   PubMed Web of Science ®Google Scholar
• Kaplan, H.I., and Sadock, B.J., 2000, Comprehensive textbook of psychiatry. (USA: Lippincott Willaims). Chapter 30
   Google Scholar
• Ray, W.J., 1998, Understanding hypnosis and hypnotic susceptibility from a psychophysiological perspective. INABIS '98, 5th Internet World Congress for biomedical sciences at McMaster University, Canada; 1998. Available online at: http://www.mcmaster.ca/inabis98/woody/ray0556/index.html [last accessed 14 May 2013]
   Google Scholar
• De Pascalisa, V., Ray, W.J., Tranquilloa, I., and D’Amicoa, D., 1998, EEG activity and heart rate during recall of emotional events in hypnosis: Relationships with hypnotizability and suggestibility. International Journal of Psychophysiology, 29, 255–275
   PubMedGoogle Scholar
• Galbraith, G.C., London, P., Leibovitz, M., Cooper, L., Hart, J., 1970, EG and hypnotic susceptibility. Journal of Comparative and Physiological Psychology, 72, 125–131
   PubMed Web of Science ®Google Scholar
• Crawford, H.J., 1998, Brain dynamic shifts during the elimination of perceived pain and distress: Neuroimaging studies of hypnotic analgesia. INABIS '98, 5th Internet World Congress for biomedical sciences at McMaster University, Canada. Available online at: http://www.mcmaster.ca/inabis98/woody/crawford0611/two.html. [last accessed 14 May 2013]
   Google Scholar
• Crawford, H.J., Clarke, S.W., Kitner-Triolo, M., 1996, Self-generated happy and emotions in low and highly hypnotizable person during waking and hypnosis: Laterality and regional EEG activity differences. International Journal of Psychophysiology, 24, 239–266
   PubMed Web of Science ®Google Scholar
• De Pascalis, V., 1998, Brain mechanisms and attentional processes in hypnosis. INABIS '98, 5th Internet World Congress for biomedical sciences at McMaster University, Canada
   Google Scholar
• De Pascalis, V., Perrone, M., 1996, EEG asymmetry and heart rate during experience of hypnotic analgesia in high and low hypnotizables. International Journal of Psychophysiology, 21, 163–175
   PubMed Web of Science ®Google Scholar
• Graffin, N.F., Ray, W.J., and Lundy, R., 1995, EEG concomitants of hypnosis and hypnotic susceptibility. Journal of Abnormal Psychology, 104, 123–131
   PubMed Web of Science ®Google Scholar
• Williams, J.D., and Gruzelier, J., 2001, Differentiation of hypnosis and relaxation by analysis of narrow band theta and alpha frequencies. International Journal of Clinical and Experimental Hypnosis, 49, 185–206
   PubMed Web of Science ®Google Scholar
• Abootalebi, V., 2000, Investigation of hypnosis on EEG higher order spectra [Thesis]. Results. Tehran, Iran: Sharif University of Technology; 2000
   Google Scholar
• Alberto Torelli, 2008, Professional Hypnosis Databank. Available online at: http://www.altor.org/. [last accessed 14 May 2013]
   Google Scholar
• Lubar, J.F., Gordon, D.M., Harrist, R.S., Nash, M.R., Mann, C.A., Lacy, J.E., 1991, EEG correlates of hypnotic susceptibility based upon fast fourier power spectral analysis. Biofeedback and Self-Regulation, 16, 75–80
   PubMedGoogle Scholar
• Fingelkurts, Al.A., Fingelkurts, An.A, Kallio, S., Revonsuo, A., 2007, Cortex functional connectivity as a neurophysiological correlates of hypnosis: An EEG case study. Neuropsychologia, 45, 1452–1462
   PubMed Web of Science ®Google Scholar
• Dumas, R.A., 2007, EEG alpha-hypnotizability correlations: A review. Psychophysiology, 14, 431–438
   Google Scholar
• White, D., Ciorciari, J., Carbis, C., and Liley, D., 2009, 2009, EEG correlates of virtual reality hypnosis. International Journal of Clinical and Experimental Hypnosis, 57, 94–116
   PubMed Web of Science ®Google Scholar
• Isotani, T., Lehmann, D., Pascual-Marqui, R.D., Kochi, K., Wackermann, J., Saito, N., Yagyu, T., Kinoshita, T., and Sasada, K., 2001, EEG source localization and global dimensional complexity in high- and low-hypnotizable subjects: a pilot study. Neuropsychobiology, 44, 192–198
   PubMed Web of Science ®Google Scholar
• Sabourin, M., Cutcomb, S., Crawford, H., and Pribram, K., 1990, EEG correlates of hypnotic susceptibility and hypnotic trance: Spectral analysis and coherence. International Journal of Psychophysiology, 10, 125–142
   PubMed Web of Science ®Google Scholar
• Nasrabadi, A.M., 2003, Quantitative and qualitative evaluation of consciousness variation and depth of hypnosis through intelligent processing of EEG signals [dissertation]. (Tehran, Iran: Amir Kabir University)
   Google Scholar
• Lee, J.S., Spiegel, D., Kim, S.B., 2007, Fractal analysis of EEG in hypnosis and its relationship with hypnotizability. International Journal of Clinical and Experimental Hypnosis, 55, 14–31
   PubMed Web of Science ®Google Scholar
• Baghdadi, G., 2008, Hypnosis depth determination, using empirical mode decomposition [Thesis]. (Tehran, Iran: Shahed University)
   Google Scholar
• Baghdadi, G., and Nasrabadi, A.M., 2009, Estimating final depth of hypnosis using extracted fractal features by EMD algorithms. 17th Iranian Conference on Electrical Engineering; Iran University of Science and Technology, Tehran, Iran
   Google Scholar
• Behbahani, S., 2008, Analysis of hypnotic EEG signals using fuzzy similarity index [Thesis]. (Tehran, Iran: Islamic Azad University, Science and Research Branch)
   Google Scholar
• Behbahani, S., and Nasrabadi, A.M., 2009, Application of fuzzy similarity index method in processing of hypnosis. Journal on Biomedical Science and Engineering, 2, 359–362
   Google Scholar
• Elbert, T., Ray, W.J., Kowalik, Z., Skinner, J., Graf, K., and Birbaumer, N., 1994, Chaos and physiology: Deterministic chaos in excitable cell assemblies. Physiological Reviews, 74, 1–47
   PubMed Web of Science ®Google Scholar
• Lutzenberger, W., Elbert, T., Birbaumer, N., Ray, W.J., and Schupp, H.T., 1992, The scalp distribution of fractal dimension of the EEG and its variation with mental tasks. Brain Topography, 5, 27–34
   PubMedGoogle Scholar
• Ray, W.J., 1997, EEG concomitants of hypnotic susceptibility. International Journal of Clinical and Experimental Hypnosis, 45, 301–313
   PubMed Web of Science ®Google Scholar
• Aihara, K., and Matsumuto, G., 1986, Chaotic oscillations and bifurcations in squid giant axon. Chaos. (Manchester, UK: Manchester University Press)
   Google Scholar
• Babloyantz, A., Salazar, J.M., and Nicolis, C., 1985, Evidence of chaotic dynamics of brain activity during the sleep cycle. Physical Letters, 111A, 152–156
   Web of Science ®Google Scholar
• Krisch, I., Milling, L.S., Burgess, C.H., 1998, Experimental scoring for the Waterloo-Stanford group scale. International Journal of Clinical Hypnosis, 46, 269–279
   PubMed Web of Science ®Google Scholar
• Bowers, K.S., 1993, The Waterloo-Stanford Group C (WSGC) scale of hypnotic susceptibility: Normative and comparative data. International Journal of Clinical and Experimental Hypnosis, 41, 35–46
   PubMed Web of Science ®Google Scholar
• Mazzoni, G., Rotriquenz, E., Carvalho, C., Vannucci, M., Roberts, K., and Kirsch I., 2009, Suggested visual hallucinations in and out of hypnosis. Consciousness and Cognition, 18, 494–499
   PubMed Web of Science ®Google Scholar
• Nasrabadi, A.M., Hashemi Golpaygani, M.R., Khalilzadeh, M.A., and Sharifi, A., 2003, Comparision between linear and nonlinear EEG signal processing during different mental activies. Scientific Journal of Amirkabir, A55, 592–600
   Google Scholar
• Hillborn, R.C., 2001, Chaos and nonlinear dynamics. 2nd edn. (USA: Oxford University Press)
   Google Scholar
• Grassberger, P., and Procaccia, I., 1983, Characterization of strange attractors. Physical Review Letters, 50, 346–349
   Web of Science ®Google Scholar
• Grassberger, P., and Procaccia, I., 1983, Measuring the strangeness of strange attractors. Physica D, 9, 189–208
   Web of Science ®Google Scholar
• Fraser, A.M., and Swinney, H.L., 1986, Independent coordinates for strange attractors from mutual information. Physical Review, A33, 1134–1140
   Google Scholar
• Hogg, R.V., and Ledolter, J., 1987, Engineering Statistics. (NewYork: MacMillan Pub Co)
   Google Scholar
• Brys, G., Hubert, M., and Struyf, A., 2004, Robustification of the Jarque-Bera test of normality. COMPSTAT’2004 Symposium _c Physica-Verlag/Springer, (Prague, Czech), May, pp. 753–760
   Google Scholar
• Albano, A.M., and Rapp, P.E., 1993, On the reliability of dynamical measures of EEG signals. In: Jansen, B.H., and Brandt, M.E.s, editors. Proceedings of the second annual conference on nonlinear dynamical analysis of the EEG; Singapore: World Scientific, pp. 117--139
   Google Scholar
• Rapp, P.E., Albano, A.M., Schmah, T.I., and Farwell, L.A., 1993, Filtered Noise can mimic low-dimensional chaotic attractors. Physical Review E, 47, 2289–2297
   PubMed Web of Science ®Google Scholar
• Schreiber, Th., and Schmitz, A., 2000, Surrogate time series. Physica D, 142, 346–382
   Web of Science ®Google Scholar
• Pijn, J.P.M., 1990, Quantitative evaluation of EEG signals in epilepsy: Nonlinear association time delays and nonlinear dynamics [dissertation]. (Amsterdam: University of Amsterdam)
   Google Scholar
• Theiler, J., Eubank, S., Longtin, A., Galdrikian, B., and Farmer, J.D., 1992, Testing for nonlinearity in time series: The method of surrogate data. Physica D, 58, 77–94
   Web of Science ®Google Scholar
• Theiler, J., Galdrikian, B., Longtin, A., Eubank, S., and Farmer, J.D., 1992, Using surrogate data to detect nonlinearity in time series. Casdagli, B., and Eubank, S., editors. Nonlinear modeling and forecasting, SFI studies in the sciences of complexity, proceedings vol. XII. (Reading, MA: Addison-Wesley). pp. 163–188
   Google Scholar
• Schreiber, Th., and Schmitz, A., 1996, Improved surrogate data for nonlinearity tests. Physical Review Letters, 77, 635–638
   PubMed Web of Science ®Google Scholar
• Popivanov, D., and Mineva, A., 1999, Testing procedures for non-stationarity and nonlinearity in physiological signals. Mathematical Biosciences, 157, 303–320
   PubMed Web of Science ®Google Scholar
• Rieke, C., Mormann, F., Andrzejak, R.G., Kreuz, T., David, P., Elger, C.E., and Lehnertz, K., 2003, Discerning nonstationarity from nonlinearity in seizure free and pre-seizure EEG recordings from epilepsy patients. IEEE Transaction on Biomedical Engineering, 2003 50, 634–639
   PubMedGoogle Scholar
• Timmer, T., 1998, Power of surrogate data testing with respect to nonstationarity. Physical Review E, 58, 5153–5156
   Google Scholar
• Breakspear, M., Brammer, M., and Robinson, P.A., 2003, Construction of multivariate sets from nonlinear data using the wavelet transform. Physica D, 182, 1–22
   Web of Science ®Google Scholar
• Stam, C.J., Pijn, J.P.M., and Pritchard, W.S., 1998, Reliable detection of non-linearity in experimental time series with strong periodic components. Physica D, 112, 361–380
   Web of Science ®Google Scholar
• Conover, W.J., 1980, Practical nonparametric statistics. (New York: Wiley)
   Google Scholar
• Netter, F., 1983, The ciba collection of medical illustrations. Nervous System. Anatomy and Physiology. (West Caldwell, NJ: Ciba)
   Google Scholar
• Yargholi, E., and Nasrabadi, A.M., 2010, Chaotic features analysis of EEG signals during hallucination tasks of Waterloo-Stanford standard. Journal of Biomedical Science and Engineering, 3, 1175–1181
   Google Scholar
• Rainville, P., Hofbauer, R.K., Paus, T., Duncan, G.H., Bushnell, M.C., and Price, D.D., 1999, Cerebral mechanisms of hypnotic induction and suggestion. Journal of Cognitive Neuroscience, 11, 110–125
   PubMed Web of Science ®Google Scholar
• Jasiukaitis, P., Nouriani, B., Hugdahl, K., and Spiegel, D., 1997, Relateralizing hypnosis: Or, have we been barking up the wrong hemisphere? International Journal of Clinical and Experimental Hypnosis, 45, 158–177
   PubMed Web of Science ®Google Scholar
• Kosslyn, S.M., Thompson, W.L., Costantini-ferrando, M.F., Alpert, N.M., and Spiegel, D., 2000, Hypnotic visual illusion alters colour processing in the brain. American Journal of Psychiatry, 157, 1279–1284
   PubMed Web of Science ®Google Scholar
• Maquet, P., Faymonville, M.E., Degueldre, C., Delfiore, G., Frank, G., Luxen, A., and Lamy, M., 1999, Functional neuroanatomy of hypnotic state. Biological Psychiatry, 45, 327–333
   PubMed Web of Science ®Google Scholar
• Wik, G., Fischer, H., Bragee, B., and Frederikson, M., 1999, Functional anatomy of hypnotic analgesia: A pet study of patients with fibromyalgia. European Journal of Pain: London, 3, 7–12
   PubMed Web of Science ®Google Scholar