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Deviant Dynamics of Resting State Electroencephalogram Microstate in Patients With Subjective Tinnitus
Given the importance of central reorganization and tinnitus, we undertook the current study to investigate changes to electroencephalogram (EEG) microstates and their association with the clinical symptoms in tinnitus. High-density (128 channel) EEG was used to explore changes in microstate features...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6024160/ https://www.ncbi.nlm.nih.gov/pubmed/29988458 http://dx.doi.org/10.3389/fnbeh.2018.00122 |
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author | Cai, Yuexin Huang, Dong Chen, Yanhong Yang, Haidi Wang, Chang-Dong Zhao, Fei Liu, Jiahao Sun, Yingfeng Chen, Guisheng Chen, Xiaoting Xiong, Hao Zheng, Yiqing |
author_facet | Cai, Yuexin Huang, Dong Chen, Yanhong Yang, Haidi Wang, Chang-Dong Zhao, Fei Liu, Jiahao Sun, Yingfeng Chen, Guisheng Chen, Xiaoting Xiong, Hao Zheng, Yiqing |
author_sort | Cai, Yuexin |
collection | PubMed |
description | Given the importance of central reorganization and tinnitus, we undertook the current study to investigate changes to electroencephalogram (EEG) microstates and their association with the clinical symptoms in tinnitus. High-density (128 channel) EEG was used to explore changes in microstate features in 15 subjects with subjective tinnitus and 17 age-matched controls. Correlations between microstate parameters and subjective tinnitus symptoms were also analyzed. An increased presence of class A microstate and decreased presence of class D microstate were found in coverage and lifespan of microstate parameters in the tinnitus patients. Syntax analysis also demonstrated an aberrant pattern of activity, with reduced transitions from class D to class B in tinnitus patients. Moreover, a significant positive correlation of tinnitus loudness with increased lifespan of microstate class C was found. Significant differences in temporal characteristics and syntax of the EEG microstate classes were found at rest between tinnitus patients and the healthy subjects. Our study indicates that EEG microstates may provide a possible valuable method to study large-scale brain networks, which may in turn be beneficial to investigation of the neurophysiological mechanisms behind tinnitus. |
format | Online Article Text |
id | pubmed-6024160 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-60241602018-07-09 Deviant Dynamics of Resting State Electroencephalogram Microstate in Patients With Subjective Tinnitus Cai, Yuexin Huang, Dong Chen, Yanhong Yang, Haidi Wang, Chang-Dong Zhao, Fei Liu, Jiahao Sun, Yingfeng Chen, Guisheng Chen, Xiaoting Xiong, Hao Zheng, Yiqing Front Behav Neurosci Neuroscience Given the importance of central reorganization and tinnitus, we undertook the current study to investigate changes to electroencephalogram (EEG) microstates and their association with the clinical symptoms in tinnitus. High-density (128 channel) EEG was used to explore changes in microstate features in 15 subjects with subjective tinnitus and 17 age-matched controls. Correlations between microstate parameters and subjective tinnitus symptoms were also analyzed. An increased presence of class A microstate and decreased presence of class D microstate were found in coverage and lifespan of microstate parameters in the tinnitus patients. Syntax analysis also demonstrated an aberrant pattern of activity, with reduced transitions from class D to class B in tinnitus patients. Moreover, a significant positive correlation of tinnitus loudness with increased lifespan of microstate class C was found. Significant differences in temporal characteristics and syntax of the EEG microstate classes were found at rest between tinnitus patients and the healthy subjects. Our study indicates that EEG microstates may provide a possible valuable method to study large-scale brain networks, which may in turn be beneficial to investigation of the neurophysiological mechanisms behind tinnitus. Frontiers Media S.A. 2018-06-22 /pmc/articles/PMC6024160/ /pubmed/29988458 http://dx.doi.org/10.3389/fnbeh.2018.00122 Text en Copyright © 2018 Cai, Huang, Chen, Yang, Wang, Zhao, Liu, Sun, Chen, Chen, Xiong and Zheng. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Cai, Yuexin Huang, Dong Chen, Yanhong Yang, Haidi Wang, Chang-Dong Zhao, Fei Liu, Jiahao Sun, Yingfeng Chen, Guisheng Chen, Xiaoting Xiong, Hao Zheng, Yiqing Deviant Dynamics of Resting State Electroencephalogram Microstate in Patients With Subjective Tinnitus |
title | Deviant Dynamics of Resting State Electroencephalogram Microstate in Patients With Subjective Tinnitus |
title_full | Deviant Dynamics of Resting State Electroencephalogram Microstate in Patients With Subjective Tinnitus |
title_fullStr | Deviant Dynamics of Resting State Electroencephalogram Microstate in Patients With Subjective Tinnitus |
title_full_unstemmed | Deviant Dynamics of Resting State Electroencephalogram Microstate in Patients With Subjective Tinnitus |
title_short | Deviant Dynamics of Resting State Electroencephalogram Microstate in Patients With Subjective Tinnitus |
title_sort | deviant dynamics of resting state electroencephalogram microstate in patients with subjective tinnitus |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6024160/ https://www.ncbi.nlm.nih.gov/pubmed/29988458 http://dx.doi.org/10.3389/fnbeh.2018.00122 |
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