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Higher hypnotic suggestibility is associated with the lower EEG signal variability in theta, alpha, and beta frequency bands
Variation of information in the firing rate of neural population, as reflected in different frequency bands of electroencephalographic (EEG) time series, provides direct evidence for change in neural responses of the brain to hypnotic suggestibility. However, realization of an effective biomarker fo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145105/ https://www.ncbi.nlm.nih.gov/pubmed/32271781 http://dx.doi.org/10.1371/journal.pone.0230853 |
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author | Keshmiri, Soheil Alimardani, Maryam Shiomi, Masahiro Sumioka, Hidenobu Ishiguro, Hiroshi Hiraki, Kazuo |
author_facet | Keshmiri, Soheil Alimardani, Maryam Shiomi, Masahiro Sumioka, Hidenobu Ishiguro, Hiroshi Hiraki, Kazuo |
author_sort | Keshmiri, Soheil |
collection | PubMed |
description | Variation of information in the firing rate of neural population, as reflected in different frequency bands of electroencephalographic (EEG) time series, provides direct evidence for change in neural responses of the brain to hypnotic suggestibility. However, realization of an effective biomarker for spiking behaviour of neural population proves to be an elusive subject matter with its impact evident in highly contrasting results in the literature. In this article, we took an information-theoretic stance on analysis of the EEG time series of the brain activity during hypnotic suggestions, thereby capturing the variability in pattern of brain neural activity in terms of its information content. For this purpose, we utilized differential entropy (DE, i.e., the average information content in a continuous time series) of theta, alpha, and beta frequency bands of fourteen-channel EEG time series recordings that pertain to the brain neural responses of twelve carefully selected high and low hypnotically suggestible individuals. Our results show that the higher hypnotic suggestibility is associated with a significantly lower variability in information content of theta, alpha, and beta frequencies. Moreover, they indicate that such a lower variability is accompanied by a significantly higher functional connectivity (FC, a measure of spatiotemporal synchronization) in the parietal and the parieto-occipital regions in the case of theta and alpha frequency bands and a non-significantly lower FC in the central region’s beta frequency band. Our results contribute to the field in two ways. First, they identify the applicability of DE as a unifying measure to reproduce the similar observations that are separately reported through adaptation of different hypnotic biomarkers in the literature. Second, they extend these previous findings that were based on neutral hypnosis (i.e., a hypnotic procedure that involves no specific suggestions other than those for becoming hypnotized) to the case of hypnotic suggestions, thereby identifying their presence as a potential signature of hypnotic experience. |
format | Online Article Text |
id | pubmed-7145105 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-71451052020-04-14 Higher hypnotic suggestibility is associated with the lower EEG signal variability in theta, alpha, and beta frequency bands Keshmiri, Soheil Alimardani, Maryam Shiomi, Masahiro Sumioka, Hidenobu Ishiguro, Hiroshi Hiraki, Kazuo PLoS One Research Article Variation of information in the firing rate of neural population, as reflected in different frequency bands of electroencephalographic (EEG) time series, provides direct evidence for change in neural responses of the brain to hypnotic suggestibility. However, realization of an effective biomarker for spiking behaviour of neural population proves to be an elusive subject matter with its impact evident in highly contrasting results in the literature. In this article, we took an information-theoretic stance on analysis of the EEG time series of the brain activity during hypnotic suggestions, thereby capturing the variability in pattern of brain neural activity in terms of its information content. For this purpose, we utilized differential entropy (DE, i.e., the average information content in a continuous time series) of theta, alpha, and beta frequency bands of fourteen-channel EEG time series recordings that pertain to the brain neural responses of twelve carefully selected high and low hypnotically suggestible individuals. Our results show that the higher hypnotic suggestibility is associated with a significantly lower variability in information content of theta, alpha, and beta frequencies. Moreover, they indicate that such a lower variability is accompanied by a significantly higher functional connectivity (FC, a measure of spatiotemporal synchronization) in the parietal and the parieto-occipital regions in the case of theta and alpha frequency bands and a non-significantly lower FC in the central region’s beta frequency band. Our results contribute to the field in two ways. First, they identify the applicability of DE as a unifying measure to reproduce the similar observations that are separately reported through adaptation of different hypnotic biomarkers in the literature. Second, they extend these previous findings that were based on neutral hypnosis (i.e., a hypnotic procedure that involves no specific suggestions other than those for becoming hypnotized) to the case of hypnotic suggestions, thereby identifying their presence as a potential signature of hypnotic experience. Public Library of Science 2020-04-09 /pmc/articles/PMC7145105/ /pubmed/32271781 http://dx.doi.org/10.1371/journal.pone.0230853 Text en © 2020 Keshmiri et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Keshmiri, Soheil Alimardani, Maryam Shiomi, Masahiro Sumioka, Hidenobu Ishiguro, Hiroshi Hiraki, Kazuo Higher hypnotic suggestibility is associated with the lower EEG signal variability in theta, alpha, and beta frequency bands |
title | Higher hypnotic suggestibility is associated with the lower EEG signal variability in theta, alpha, and beta frequency bands |
title_full | Higher hypnotic suggestibility is associated with the lower EEG signal variability in theta, alpha, and beta frequency bands |
title_fullStr | Higher hypnotic suggestibility is associated with the lower EEG signal variability in theta, alpha, and beta frequency bands |
title_full_unstemmed | Higher hypnotic suggestibility is associated with the lower EEG signal variability in theta, alpha, and beta frequency bands |
title_short | Higher hypnotic suggestibility is associated with the lower EEG signal variability in theta, alpha, and beta frequency bands |
title_sort | higher hypnotic suggestibility is associated with the lower eeg signal variability in theta, alpha, and beta frequency bands |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145105/ https://www.ncbi.nlm.nih.gov/pubmed/32271781 http://dx.doi.org/10.1371/journal.pone.0230853 |
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