Investigation of the Changes in the Power Distribution in Resting-State Brain Networks Associated with Pure Conduct Disorder

Abstract 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 firs...

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Autores principales:	Jiang Zhang, Jiansong Zhou, Fengmei Lu, Liangyin Chen, Yunzhi Huang, Huafu Chen, Yutao Xiang, Gang Yang, Zhen Yuan
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/07870b3a72e54f74820d652aa3edf793
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spelling	oai:doaj.org-article:07870b3a72e54f74820d652aa3edf7932021-12-02T12:32:39ZInvestigation of the Changes in the Power Distribution in Resting-State Brain Networks Associated with Pure Conduct Disorder10.1038/s41598-017-05863-32045-2322https://doaj.org/article/07870b3a72e54f74820d652aa3edf7932017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-05863-3https://doaj.org/toc/2045-2322Abstract 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.Jiang ZhangJiansong ZhouFengmei LuLiangyin ChenYunzhi HuangHuafu ChenYutao XiangGang YangZhen YuanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jiang Zhang Jiansong Zhou Fengmei Lu Liangyin Chen Yunzhi Huang Huafu Chen Yutao Xiang Gang Yang Zhen Yuan Investigation of the Changes in the Power Distribution in Resting-State Brain Networks Associated with Pure Conduct Disorder
description	Abstract 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	article
author	Jiang Zhang Jiansong Zhou Fengmei Lu Liangyin Chen Yunzhi Huang Huafu Chen Yutao Xiang Gang Yang Zhen Yuan
author_facet	Jiang Zhang Jiansong Zhou Fengmei Lu Liangyin Chen Yunzhi Huang Huafu Chen Yutao Xiang Gang Yang Zhen Yuan
author_sort	Jiang Zhang
title	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_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_sort	investigation of the changes in the power distribution in resting-state brain networks associated with pure conduct disorder
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/07870b3a72e54f74820d652aa3edf793
work_keys_str_mv	AT jiangzhang investigationofthechangesinthepowerdistributioninrestingstatebrainnetworksassociatedwithpureconductdisorder AT jiansongzhou investigationofthechangesinthepowerdistributioninrestingstatebrainnetworksassociatedwithpureconductdisorder AT fengmeilu investigationofthechangesinthepowerdistributioninrestingstatebrainnetworksassociatedwithpureconductdisorder AT liangyinchen investigationofthechangesinthepowerdistributioninrestingstatebrainnetworksassociatedwithpureconductdisorder AT yunzhihuang investigationofthechangesinthepowerdistributioninrestingstatebrainnetworksassociatedwithpureconductdisorder AT huafuchen investigationofthechangesinthepowerdistributioninrestingstatebrainnetworksassociatedwithpureconductdisorder AT yutaoxiang investigationofthechangesinthepowerdistributioninrestingstatebrainnetworksassociatedwithpureconductdisorder AT gangyang investigationofthechangesinthepowerdistributioninrestingstatebrainnetworksassociatedwithpureconductdisorder AT zhenyuan investigationofthechangesinthepowerdistributioninrestingstatebrainnetworksassociatedwithpureconductdisorder
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Investigation of the Changes in the Power Distribution in Resting-State Brain Networks Associated with Pure Conduct Disorder

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