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The relation of susceptibility levels of hypnosis and different mental tasks

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Abstract

The analysis of electroencephalogram (EEG) signals plays an important role in a various applications. EEG during pure hypnosis has different characteristics compared to normal non-hypnotic EEG especially in the frontal area of the brain. The purpose of this paper is to examine whether there is any similarity between different levels of hypnosis susceptibility and mental tasks using Fuzzy Similarity Index (FSI) method. In the first step, some of nonlinear features of EEG signals extracted; the next part of this method is to calculate the similarity between the features set of the reference segment (mental tasks) and the test segment (hypnosis signal) using fuzzy measure. Our results demonstrate that FSI is suitable for discriminating the relations between different status of brain activity in the non-hypnotic and hypnosis EEG signals. The more complex mental task, the behavior of the brain is more like a hypnotic state. Our results confirm previous ones that more activity of the right hemisphere during hypnosis was reported in right-hand subjects.

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References

  1. Gould, R.C., Krynicki, V.E.: Comparative effectiveness of hypnotherapy on different psychological symptoms. Am. J. Clin. Hypn. 32, 110–117 (1989)

    Article  Google Scholar 

  2. Abela, M.B.: The Neurophysiology of Hypnosis: Hypnosis as a State of Selective Attention and Disattention. (2000)

  3. Edwards, J.G.: Comprehensive textbook of psychiatry. In: Kaplan, H.I., Sadock, B.J. (eds.) Human Psychopharmacology: Clinical and Experimental, vol. 4, 4th edn. Williams & Wilkins, Baltimore/London, 1985. ISBN 0-683-04510-5 (2004)

  4. Cardea, E., Terhune, D.B.: A note of caution on the Waterloo-Stanford group scale of hypnotic susceptibility: a brief communication. Int. J. Clin. Exp. Hypn. 57(2), 222–226 (2009)

    Article  Google Scholar 

  5. Baghdadi, G., Nasrabadi, A.M.: Comparison of different EEG features in estimation of hypnosis susceptibility level. J. Comput. Biol. Med. 42, 590–597 (2012)

    Article  Google Scholar 

  6. Morgan, A.H.: The heritability of hypnotic susceptibility in twins. J. Abnorm. Psychol. 82(1), 55–61 (1973)

    Article  Google Scholar 

  7. Lubar, J.F., Gordon, D.M., Harrist, R.S., Nash, M.R., Mann, C.A., Lacy, J.E.: EEG correlates of hypnotic susceptibility based upon fast Fourier power spectral analysis. Biofeedback Self Regul. 16(1), 75–85 (1991)

    Article  Google Scholar 

  8. Graffin, N.R., Ray, W.J., Lundy, R.: EEG concomitants of hypnosis and hypnotic susceptibility. J. Abnorm. Psychol. 104, 123–131 (1995)

    Article  Google Scholar 

  9. de Pascalis, V.: Psychophysiological correlates of hypnosis and hypnotic susceptibility. Int. J. Clin. Exp. Hypn. 47(2), 117–143 (1999)

    Article  Google Scholar 

  10. Stevens, L., Haga, Z., Queen, B., Brady, B., Adams, D., Gilbert, J., et al.: Binaural beat induced theta EEG activity and hypnotic susceptibility: contradictory results and technical considerations. Am. J. Clin. Hypn. 45(4), 295–309 (2003)

    Article  Google Scholar 

  11. Stevens, L., Haga, Z., Queen, B., Brady, B., Adams, D., Gilbert, J., et al.: Binaural beat induced theta EEG activity and hypnotic susceptibility: contradictory results and technical considerations. Am. J. Clin. Hypn. 45(4), 295–309 (2003)

    Article  Google Scholar 

  12. Li, X., Ouyang, G.: Nonlinear similarity analysis for epileptic seizure prediction. Nonlinear Anal. Theory Methods Appl. 64(8), 1666–1678 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  13. Li, X., Yao, X.: Application of fuzzy similarity to prediction of epileptic seizures using EEG signals. In: Proceeding of Second International Conference on Fuzzy Systems and Knowledge Discovery, pp. 645–642. (2005)

  14. Nasrabadi, A.M.: Quantitative and qualitative evaluation of consciousness variation and depth of hypnosis through intelligent processing of EEG signals. Bioelectric Ph.D. Thesis, biomedical engineering department, Amirkabir University of Iran (2002)

  15. Bowers, K.S.: Waterloo-Stanford group scale of hypnotic susceptibility, Form C: manual and response booklet. Int. J. Clin. Exp. Hypn. 46(3), 250–268 (1998)

    Article  MathSciNet  Google Scholar 

  16. Kirsch, I., Mazzoni, G., Leal, I.: Experimental scoring for the Waterloo-Stanford group scale. Int. J. Clin. Exp. Hypn. 46(3), 269–279 (1998)

    Google Scholar 

  17. Al-Nashash, H.A., Paul, J.S., Thakor, N.V.: Wavelet entropy method for EEG analysis: application to global brain injury. In: Proceeding of 1st International IEEE EMBS Conference on Neural Engineering, pp. 348–351. Capri Island, Italy (2003)

  18. Mikaili, M., Hashemi, S.: Assessment of the complexity/regularity of transient brain waves (EEG) during sleep, based on wavelet theory and the concept of entropy. Iran. J. Sci. Technol. 26, 639–646 (2002)

    Google Scholar 

  19. Hornero, R., Abasolo, D.E., Espino, P.: Use of wavelet entropy to compare the EEG background activity of epileptic patients. In: Proceeding of Seventh International Symposium on Signal Processing and Its Applications, vol. 2, pp. 5–8 (2003)

  20. Rosso, O.A., Blanco, S., Rabinowicz, A.: Wavelet analysis of generalized tonic-clonic epileptic seizures. Signal Process. 83(6), 1275–1289 (2003)

    Article  MATH  Google Scholar 

  21. Panuszka, R., Damijan, Z., Kasprzak, C.: Fractal EEG analysis with Higuchi’s algorithm of low-frequency noise exposition on humans. J.Acoust. Soc. Am. 115(5), 2388–2388 (2004)

    Article  Google Scholar 

  22. Gómez, C., Mediavilla, A., Hornero, R., Abásolo, D., Fernández, A.: Use of the Higuchi’s fractal dimension for the analysis of MEG recordings from Alzheimer’s disease patients. Med. Eng. Phys. 31, 306–313 (2009)

    Article  Google Scholar 

  23. Stam, C.J.: Nonlinear dynamical analysis of EEG and MEG: review of an emerging field. Clin. Neurophysiol. 116, 2266–2301 (2005)

    Article  Google Scholar 

  24. Chan, F.H.Y.: Fuzzy EMG classification for prosthesis control. IEEE Trans. Rehabil. Eng. 8, 305–311 (2000)

    Article  Google Scholar 

  25. Sarkar, M., Leong, T.Y.: Characterization of medical time series using fuzzy similarity-based fractal dimensions. Artif. Intell. Med. 27(2), 201–222 (2003)

    Article  Google Scholar 

  26. Hansen, J.L.: Engineering statistics. Technometrics 30(3), 347–348 (1988)

    Article  Google Scholar 

  27. Zweig, M.H., Campbell, G.: Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clin. Chem. 39, 561–577 (1993)

    Google Scholar 

  28. Ross, J., Persinger, M.A.: Positive correlations between temporal lobe signs and hypnosis induction profiles: a replication. Percept. Mot. Skills 64(3), 828–830 (1987)

    Article  Google Scholar 

  29. Kirmizi-Alsan, E., Bayraktaroglu, Z., Gurvit, H., Keskin, Y.H., Emre, M., Demiralp, T.: Comparative analysis of event-related potentials during Go/No-go and CPT: decomposition of electrophysiological markers of response inhibition and sustained attention. Brain Res. 1104(1), 114–128 (2006)

    Article  Google Scholar 

  30. Kallio, S., Revonsuo, A., Hämäläinen, H., Markela, J., Gruzelier, J.: Anterior brain functions and hypnosis: a test of the frontal hypothesis. Int. J. Clin. Exp. Hypn. 49(2), 95–108 (2001)

    Article  Google Scholar 

  31. Bick, C.H.: EEG mapping including patients with normal and altered states of hypnotic consciousness under the parameter of post hypnosis. Int. J. Neurosci. 47(1–2), 15–30 (1989)

    Article  Google Scholar 

  32. Kolb, B., Whishaw, I.Q.: In: Atkinson, R.C., Lindzey, G., Thompson, R.F. (eds.) Fundamentals of Human Neuropsychology. 4th edn. W. H. Freeman, New York (1996)

  33. Levin, H.S., Amparo, E., Eisenberg, H.M., Williams, D.H., High Jr, W.M., McArdle, C.B., Weiner, R.L.: Magnetic resonance imaging and computerized tomography in relation to the neurobehavioral sequelae of mild and moderate head injuries. J Neurosurg. 66(5), 706–713 (1987)

    Article  Google Scholar 

  34. Jiang, Z.Y., Zheng, L.L.: Inter- and intra-hemispheric EEG coherence in patients with mild cognitive impairment at rest and during working memory task. J Zhejiang Univ Sci B. 7(5), 357–364 (2006)

    Article  Google Scholar 

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Correspondence to Soroor Behbahani.

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Behbahani, S., Nasrabadi, A.M. The relation of susceptibility levels of hypnosis and different mental tasks. SIViP 9, 903–911 (2015). https://doi.org/10.1007/s11760-013-0526-2

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  • DOI: https://doi.org/10.1007/s11760-013-0526-2

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