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Abnormalities in the structural covariance of emotion regulation networks in major depressive disorder
Wu, Huawang1,2; Sun, Hui3; Wang, Chao4; Yu, Lin2; Li, Yilan2; Peng, Hongjun2; Lu, Xiaobing2; Hu, Qingmao5; Ning, Yuping; Jiang, Tianzi1,6,7,8; Xu, Jinping5; Wang, Jiaojian1
2017
发表期刊JOURNAL OF PSYCHIATRIC RESEARCH
卷号84页码:237-242
文章类型Article
摘要Major depressive disorder (MDD) is a common psychiatric disorder that is characterized by cognitive deficits and affective symptoms. To date, an increasing number of neuroimaging studies have focused on emotion regulation and have consistently shown that emotion dysregulation is one of the central features and underlying mechanisms of MDD. Although gray matter morphological abnormalities in regions within emotion regulation networks have been identified in MDD, the interactions and relationships between these gray matter structures remain largely unknown. Thus, in this study, we adopted a structural covariance method based on gray matter volume to investigate the brain morphological abnormalities within the emotion regulation networks in a large cohort of 65 MDD patients and 65 age and gender-matched healthy controls. A permutation test with p < 0.05 was used to identify the significant changes in covariance connectivity strengths between MDD patients and healthy controls. The structural covariance analysis revealed an increased correlation strength of gray matter volume between the left angular gyrus and the left amygdala and between the right angular gyrus and the right amygdala, as well as a decreased correlation strength of the gray matter volume between the right angular gyrus and the posterior cingulate cortex in MDD. Our findings support the notion that emotion dysregulation is an underlying mechanism of MDD by revealing disrupted structural covariance patterns in the emotion regulation network. (C) 2016 Elsevier Ltd. All rights reserved.
关键词Major Depressive Disorder Structural Covariance Vbm Gray Matter Volume Emotion Regulation Network
WOS标题词Science & Technology ; Life Sciences & Biomedicine
DOI10.1016/j.jpsychires.2016.10.001
关键词[WOS]DEFAULT MODE NETWORK ; POSTERIOR CINGULATE CORTEX ; EPISODIC MEMORY RETRIEVAL ; VOXEL-BASED MORPHOMETRY ; GRAY-MATTER VOLUME ; CORTICAL THICKNESS ; BIPOLAR DISORDER ; HUMAN BRAIN ; FUNCTIONAL CONNECTIVITY ; PREFRONTAL CORTEX
收录类别SCI ; SSCI
语种英语
项目资助者Natural Science Foundation of China(31500867) ; Applied Basic Program of the Sichuan Province Department(2013JY0169) ; Sichuan Key Science & Technology Support Program of China(2014SZ0020)
WOS研究方向Psychiatry
WOS类目Psychiatry
WOS记录号WOS:000390733100030
引用统计
被引频次:8[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/13382
专题脑网络组研究中心
作者单位1.Univ Elect Sci & Technol China, Key Lab Neuroinformat, Minist Educ, Sch Life Sci & Technol, Chengdu 625014, Peoples R China
2.Guangzhou Med Univ, Guangzhou Huiai Hosp, Affiliated Brain Hosp, Guangzhou 510370, Guangdong, Peoples R China
3.Capital Normal Univ, Sch Educ, Beijing Key Lab Learning & Cognit, Beijing 100048, Peoples R China
4.Shenzhen Univ, Sch Psychol & Sociol, Shenzhen 518060, Peoples R China
5.Chinese Acad Sci, Inst Biomed & Hlth Engn, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China
6.Chinese Acad Sci, Brainnetome Ctr, Beijing 100190, Peoples R China
7.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China
8.Chinese Acad Sci, Inst Automat, CAS Ctr Excellence Brain Sci, Beijing 100190, Peoples R China
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GB/T 7714
Wu, Huawang,Sun, Hui,Wang, Chao,et al. Abnormalities in the structural covariance of emotion regulation networks in major depressive disorder[J]. JOURNAL OF PSYCHIATRIC RESEARCH,2017,84:237-242.
APA Wu, Huawang.,Sun, Hui.,Wang, Chao.,Yu, Lin.,Li, Yilan.,...&Wang, Jiaojian.(2017).Abnormalities in the structural covariance of emotion regulation networks in major depressive disorder.JOURNAL OF PSYCHIATRIC RESEARCH,84,237-242.
MLA Wu, Huawang,et al."Abnormalities in the structural covariance of emotion regulation networks in major depressive disorder".JOURNAL OF PSYCHIATRIC RESEARCH 84(2017):237-242.
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