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Investigation of the Changes in the Power Distribution in Resting-State Brain Networks Associated with Pure Conduct Disorder
Conduct disorder (CD) is a psychiatric disorder in children and adolescence. To investigate changes in the power distribution in brain networks between CD and typically developing (TD) groups, resting-state functional magnetic resonance imaging (rsfMRI) data of thirty-six subjects were first recorde...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5514122/ https://www.ncbi.nlm.nih.gov/pubmed/28717223 http://dx.doi.org/10.1038/s41598-017-05863-3 |
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author | Zhang, Jiang Zhou, Jiansong Lu, Fengmei Chen, Liangyin Huang, Yunzhi Chen, Huafu Xiang, Yutao Yang, Gang Yuan, Zhen |
author_facet | Zhang, Jiang Zhou, Jiansong Lu, Fengmei Chen, Liangyin Huang, Yunzhi Chen, Huafu Xiang, Yutao Yang, Gang Yuan, Zhen |
author_sort | Zhang, Jiang |
collection | PubMed |
description | Conduct disorder (CD) is a psychiatric disorder in children and adolescence. To investigate changes in the power distribution in brain networks between CD and typically developing (TD) groups, resting-state functional magnetic resonance imaging (rsfMRI) data of thirty-six subjects were first recorded, and then the data were preprocessed using DPARSF and SPM8. Meanwhile, the power of the blood oxygenation level-dependent (BOLD) signals of ninety brain regions was acquired using the integral of the Welch power spectral density (PSD). Additionally, the powers of the brain regions that reached significance (p < 0.05) were extracted using the bootstrap statistics, in which the standardized z-scores of the powers were used as a reference. The results of the analysis of the changes in power exhibited that there were significant power differences in some pairs of brain regions between the CD and TD groups, indicating a change in the power distribution. In addition, the results also suggest that the total power consumption of brain networks in CD patients is less than that observed in the TD group. Consequently, the study provided a paradigm for establishing quantifiable indicators via the power spectrum approach for the comparison and analysis of the BOLD signal power between CD patients and healthy controls. |
format | Online Article Text |
id | pubmed-5514122 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55141222017-07-19 Investigation of the Changes in the Power Distribution in Resting-State Brain Networks Associated with Pure Conduct Disorder Zhang, Jiang Zhou, Jiansong Lu, Fengmei Chen, Liangyin Huang, Yunzhi Chen, Huafu Xiang, Yutao Yang, Gang Yuan, Zhen Sci Rep Article Conduct disorder (CD) is a psychiatric disorder in children and adolescence. To investigate changes in the power distribution in brain networks between CD and typically developing (TD) groups, resting-state functional magnetic resonance imaging (rsfMRI) data of thirty-six subjects were first recorded, and then the data were preprocessed using DPARSF and SPM8. Meanwhile, the power of the blood oxygenation level-dependent (BOLD) signals of ninety brain regions was acquired using the integral of the Welch power spectral density (PSD). Additionally, the powers of the brain regions that reached significance (p < 0.05) were extracted using the bootstrap statistics, in which the standardized z-scores of the powers were used as a reference. The results of the analysis of the changes in power exhibited that there were significant power differences in some pairs of brain regions between the CD and TD groups, indicating a change in the power distribution. In addition, the results also suggest that the total power consumption of brain networks in CD patients is less than that observed in the TD group. Consequently, the study provided a paradigm for establishing quantifiable indicators via the power spectrum approach for the comparison and analysis of the BOLD signal power between CD patients and healthy controls. Nature Publishing Group UK 2017-07-17 /pmc/articles/PMC5514122/ /pubmed/28717223 http://dx.doi.org/10.1038/s41598-017-05863-3 Text en © The Author(s) 2017 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 Zhang, Jiang Zhou, Jiansong Lu, Fengmei Chen, Liangyin Huang, Yunzhi Chen, Huafu Xiang, Yutao Yang, Gang Yuan, Zhen Investigation of the Changes in the Power Distribution in Resting-State Brain Networks Associated with Pure Conduct Disorder |
title | Investigation of the Changes in the Power Distribution in Resting-State Brain Networks Associated with Pure Conduct Disorder |
title_full | Investigation of the Changes in the Power Distribution in Resting-State Brain Networks Associated with Pure Conduct Disorder |
title_fullStr | Investigation of the Changes in the Power Distribution in Resting-State Brain Networks Associated with Pure Conduct Disorder |
title_full_unstemmed | Investigation of the Changes in the Power Distribution in Resting-State Brain Networks Associated with Pure Conduct Disorder |
title_short | Investigation of the Changes in the Power Distribution in Resting-State Brain Networks Associated with Pure Conduct Disorder |
title_sort | investigation of the changes in the power distribution in resting-state brain networks associated with pure conduct disorder |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5514122/ https://www.ncbi.nlm.nih.gov/pubmed/28717223 http://dx.doi.org/10.1038/s41598-017-05863-3 |
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