Abnormalities in the structural covariance of emotion regulation networks in major depressive disorder. (January 2017)
- Record Type:
- Journal Article
- Title:
- Abnormalities in the structural covariance of emotion regulation networks in major depressive disorder. (January 2017)
- Main Title:
- Abnormalities in the structural covariance of emotion regulation networks in major depressive disorder
- Authors:
- Wu, Huawang
Sun, Hui
Wang, Chao
Yu, Lin
Li, Yilan
Peng, Hongjun
Lu, Xiaobing
Hu, Qingmao
Ning, Yuping
Jiang, Tianzi
Xu, Jinping
Wang, Jiaojian - Abstract:
- 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 covarianceAbstract: 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. … (more)
- Is Part Of:
- Journal of psychiatric research. Volume 84(2017)
- Journal:
- Journal of psychiatric research
- Issue:
- Volume 84(2017)
- Issue Display:
- Volume 84, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 84
- Issue:
- 2017
- Issue Sort Value:
- 2017-0084-2017-0000
- Page Start:
- 237
- Page End:
- 242
- Publication Date:
- 2017-01
- Subjects:
- Major depressive disorder -- Structural covariance -- VBM -- Gray matter volume -- Emotion regulation network
Psychiatry -- Periodicals
Mental Disorders -- Periodicals
Maladies mentales -- Périodiques
Psychiatry
Electronic journals
Periodicals
616.89005 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00223956 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jpsychires.2016.10.001 ↗
- Languages:
- English
- ISSNs:
- 0022-3956
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5043.250000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 1422.xml