Literature DB >> 17135061

Fractal analysis of EEG in hypnosis and its relationship with hypnotizability.

Jun-Seok Lee1, David Spiegel, Sae-Byul Kim, Jang-Han Lee, Sun-Il Kim, Byung-Hwan Yang, Joon-Ho Choi, Yong-Chul Kho, Jung-Hyun Nam.   

Abstract

Fractal analysis was applied to study the trends of EEG signals in the hypnotic condition. The subjects were 19 psychiatric outpatients. Hypnotizability was measured with the Hypnotic Induction Profile (HIP). Fifty-four sets of EEG data were analyzed by detrended fluctuation analysis (DFA), a well-established fractal analysis technique. The scaling exponents, which are the results of fractal analysis, are reduced toward white noise during the hypnotic condition, which differentiates the hypnotic condition from the waking condition. Further, the decrease in the scaling exponents during hypnosis was solely associated with the eye-roll sign within specific cortical areas (F3, C4, and O1/2) closely related to eye movements and attention. In conclusion, the present study has found that the application of the fractal analysis technique can demonstrate the electrophysiological correlations with hypnotic influence on cerebral activity.

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Year:  2007        PMID: 17135061     DOI: 10.1080/00207140600995810

Source DB:  PubMed          Journal:  Int J Clin Exp Hypn        ISSN: 0020-7144


  5 in total

1.  Functional brain basis of hypnotizability.

Authors:  Fumiko Hoeft; John D E Gabrieli; Susan Whitfield-Gabrieli; Brian W Haas; Roland Bammer; Vinod Menon; David Spiegel
Journal:  Arch Gen Psychiatry       Date:  2012-10

2.  ENHANCING IMPLICIT LEARNING WITH POSTHYPNOTIC SUGGESTION: An ERP Study.

Authors:  Jerome Daltrozzo; Gerardo E Valdez
Journal:  Int J Clin Exp Hypn       Date:  2018 Apr-Jun

Review 3.  Neuro-hypnotism: prospects for hypnosis and neuroscience.

Authors:  John F Kihlstrom
Journal:  Cortex       Date:  2012-06-05       Impact factor: 4.027

4.  Multifractal detrended fluctuation analysis of human EEG: preliminary investigation and comparison with the wavelet transform modulus maxima technique.

Authors:  Todd Zorick; Mark A Mandelkern
Journal:  PLoS One       Date:  2013-07-03       Impact factor: 3.240

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

Authors:  Riccardo Chiarucci; Dario Madeo; Maria I Loffredo; Eleonora Castellani; Enrica L Santarcangelo; Chiara Mocenni
Journal:  Sci Rep       Date:  2014-07-08       Impact factor: 4.379

  5 in total

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