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Disrupted Resting State Network of Fibromyalgia in Theta frequency
Fibromyalgia (FM), chronic widespread pain, exhibits spontaneous pain without external stimuli and is associated with altered brain activities during resting state. To understand the topological features of brain network in FM, we employed persistent homology which is a multiple scale network modeli...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5794911/ https://www.ncbi.nlm.nih.gov/pubmed/29391478 http://dx.doi.org/10.1038/s41598-017-18999-z |
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author | Choe, Mi Kyung Lim, Manyoel Kim, June Sic Lee, Dong Soo Chung, Chun Kee |
author_facet | Choe, Mi Kyung Lim, Manyoel Kim, June Sic Lee, Dong Soo Chung, Chun Kee |
author_sort | Choe, Mi Kyung |
collection | PubMed |
description | Fibromyalgia (FM), chronic widespread pain, exhibits spontaneous pain without external stimuli and is associated with altered brain activities during resting state. To understand the topological features of brain network in FM, we employed persistent homology which is a multiple scale network modeling framework not requiring thresholding. Spontaneous magnetoencephalography (MEG) activity was recorded in 19 healthy controls (HCs) and 18 FM patients. Barcode, single linkage dendrogram and single linkage matrix were generated based on the proposed modeling framework. In theta band, the slope of decrease in the number of connected components in barcodes showed steeper in HC, suggesting FM patients had decreased global connectivity. FM patients had reduced connectivity within default mode network, between middle/inferior temporal gyrus and visual cortex. The longer pain duration was correlated with reduced connectivity between inferior temporal gyrus and visual cortex. Our findings demonstrated that the aberrant resting state network could be associated with dysfunction of sensory processing in chronic pain. The spontaneous nature of FM pain may accrue to disruption of resting state network. |
format | Online Article Text |
id | pubmed-5794911 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57949112018-02-12 Disrupted Resting State Network of Fibromyalgia in Theta frequency Choe, Mi Kyung Lim, Manyoel Kim, June Sic Lee, Dong Soo Chung, Chun Kee Sci Rep Article Fibromyalgia (FM), chronic widespread pain, exhibits spontaneous pain without external stimuli and is associated with altered brain activities during resting state. To understand the topological features of brain network in FM, we employed persistent homology which is a multiple scale network modeling framework not requiring thresholding. Spontaneous magnetoencephalography (MEG) activity was recorded in 19 healthy controls (HCs) and 18 FM patients. Barcode, single linkage dendrogram and single linkage matrix were generated based on the proposed modeling framework. In theta band, the slope of decrease in the number of connected components in barcodes showed steeper in HC, suggesting FM patients had decreased global connectivity. FM patients had reduced connectivity within default mode network, between middle/inferior temporal gyrus and visual cortex. The longer pain duration was correlated with reduced connectivity between inferior temporal gyrus and visual cortex. Our findings demonstrated that the aberrant resting state network could be associated with dysfunction of sensory processing in chronic pain. The spontaneous nature of FM pain may accrue to disruption of resting state network. Nature Publishing Group UK 2018-02-01 /pmc/articles/PMC5794911/ /pubmed/29391478 http://dx.doi.org/10.1038/s41598-017-18999-z Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Choe, Mi Kyung Lim, Manyoel Kim, June Sic Lee, Dong Soo Chung, Chun Kee Disrupted Resting State Network of Fibromyalgia in Theta frequency |
title | Disrupted Resting State Network of Fibromyalgia in Theta frequency |
title_full | Disrupted Resting State Network of Fibromyalgia in Theta frequency |
title_fullStr | Disrupted Resting State Network of Fibromyalgia in Theta frequency |
title_full_unstemmed | Disrupted Resting State Network of Fibromyalgia in Theta frequency |
title_short | Disrupted Resting State Network of Fibromyalgia in Theta frequency |
title_sort | disrupted resting state network of fibromyalgia in theta frequency |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5794911/ https://www.ncbi.nlm.nih.gov/pubmed/29391478 http://dx.doi.org/10.1038/s41598-017-18999-z |
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