Abnormalities in the structural covariance of emotion regulation networks in major depressive disorder
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 f...
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Published in | Journal of psychiatric research Vol. 84; pp. 237 - 242 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier Ltd
01.01.2017
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Subjects | |
Online Access | Get full text |
ISSN | 0022-3956 1879-1379 |
DOI | 10.1016/j.jpsychires.2016.10.001 |
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Abstract | 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. |
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AbstractList | 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. Abstract 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. |
Author | Ning, Yuping Jiang, Tianzi Xu, Jinping Wang, Chao Wang, Jiaojian Hu, Qingmao Sun, Hui Li, Yilan Peng, Hongjun Lu, Xiaobing Yu, Lin Wu, Huawang |
Author_xml | – sequence: 1 givenname: Huawang surname: Wu fullname: Wu, Huawang organization: Key Laboratory for Neuroinformation of the Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 625014, China – sequence: 2 givenname: Hui surname: Sun fullname: Sun, Hui organization: Beijing Key Laboratory of Learning and Cognition, School of Education, Capital Normal University, Beijing, 100048, China – sequence: 3 givenname: Chao surname: Wang fullname: Wang, Chao organization: School of Psychology and Sociology, Shenzhen University, Shenzhen, 518060, China – sequence: 4 givenname: Lin surname: Yu fullname: Yu, Lin organization: The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, 510370, China – sequence: 5 givenname: Yilan surname: Li fullname: Li, Yilan organization: The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, 510370, China – sequence: 6 givenname: Hongjun surname: Peng fullname: Peng, Hongjun organization: The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, 510370, China – sequence: 7 givenname: Xiaobing surname: Lu fullname: Lu, Xiaobing organization: The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, 510370, China – sequence: 8 givenname: Qingmao surname: Hu fullname: Hu, Qingmao organization: Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China – sequence: 9 givenname: Yuping surname: Ning fullname: Ning, Yuping organization: The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, 510370, China – sequence: 10 givenname: Tianzi surname: Jiang fullname: Jiang, Tianzi organization: Key Laboratory for Neuroinformation of the Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 625014, China – sequence: 11 givenname: Jinping surname: Xu fullname: Xu, Jinping email: jp.xu@siat.ac.cn organization: Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China – sequence: 12 givenname: Jiaojian surname: Wang fullname: Wang, Jiaojian email: jiaojianwang@uestc.edu.cn organization: Key Laboratory for Neuroinformation of the Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 625014, China |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27770743$$D View this record in MEDLINE/PubMed |
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Keywords | VBM Structural covariance Gray matter volume Emotion regulation network Major depressive disorder |
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Snippet | Major depressive disorder (MDD) is a common psychiatric disorder that is characterized by cognitive deficits and affective symptoms. To date, an increasing... Abstract Major depressive disorder (MDD) is a common psychiatric disorder that is characterized by cognitive deficits and affective symptoms. To date, an... |
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SubjectTerms | Adolescent Adult Brain - diagnostic imaging Cohort Studies Depressive Disorder, Major - diagnostic imaging Depressive Disorder, Major - drug therapy Emotion regulation network Emotions Female Gray Matter - diagnostic imaging Gray matter volume Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Major depressive disorder Male Middle Aged Neural Pathways - diagnostic imaging Organ Size Psychiatry Structural covariance VBM Young Adult |
Title | Abnormalities in the structural covariance of emotion regulation networks in major depressive disorder |
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