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  Sub-regional anterior cingulate cortex functional connectivity revealed default network subsystem dysfunction in patients with major depressive disorder

Peng, X., Wu, X., Gong, R., Yang, R., Wang, X., Zhu, W., et al. (2021). Sub-regional anterior cingulate cortex functional connectivity revealed default network subsystem dysfunction in patients with major depressive disorder. Psychological Medicine, 51(10), 1687-1695. doi:10.1017/S0033291720000434.

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Genre: Journal Article

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 Creators:
Peng, Xiaolong1, 2, Author
Wu, Xiaoping3, Author
Gong, Ruxue4, Author              
Yang, Rui5, Author
Wang, Xiang6, Author
Zhu, Wenzhen1, Author
Lin, Pan7, 8, Author
Affiliations:
1Department of Radiology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, ou_persistent22              
2Department of Neuroscience, Medical University of South Carolina, Charleston, SC, USA, ou_persistent22              
3Department of Radiology, Xi'an Central Hospital, Xi'an Jiaotong University, China, ou_persistent22              
4Methods and Development Group MEG and Cortical Networks, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205650              
5Department of Psychiatry, Xi'an Central Hospital, Xi'an Jiaotong University, China, ou_persistent22              
6Medical Psychological Center, Second Xiangya Hospital, Central South University, Changsha, China, ou_persistent22              
7Department of Psychology, Hunan Normal University, Changsha, China, ou_persistent22              
8Cognition and Human Behavior Key Laboratory, Hunan Normal University, Changsha, China, ou_persistent22              

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Free keywords: Anterior cingulate cortex; Default network; fMRI; Functional connectivity; Major depressive disorder
 Abstract: Background: Major depressive disorder (MDD) is a prevalent mental disorder characterized by impairments in affect, behaviour and cognition. Previous studies have indicated that the anterior cingulate cortex (ACC) may play an essential role in the pathophysiology of depression. In this study, we systematically identified changes in functional connectivity (FC) for ACC subdivisions that manifest in MDD and further investigated the relationship between these changes and the clinical symptoms of depression. Methods: Sub-regional ACC FC was estimated in 41 first-episode medication-naïve MDD patients compared to 43 healthy controls. The relationships between depressive symptom severity and aberrant FC of ACC subdivisions were investigated. In addition, we conducted a meta-analysis to generate the distributions of MDD-related abnormal regions from previously reported results and compared them to FC deficits revealed in this study. Results: In MDD patients, the subgenual and perigenual ACC demonstrated decreased FC with the posterior regions of the default network (DN), including the posterior inferior parietal lobule and posterior cingulate cortex. FC of these regions was negatively associated with the Automatic Thoughts Questionnaire scores and largely overlapped with previously reported abnormal regions. In addition, reduced FC between the caudal ACC and precuneus was negatively correlated with the Hamilton Anxiety Scale scores. We also found increased FC between the rostral ACC and dorsal medial prefrontal cortex. Conclusions: Our findings confirmed that functional interaction changes in different ACC sub-regions are specific and associated with distinct symptoms of depression. Our findings provide new insights into the role of ACC sub-regions and DN in the pathophysiology of MDD.

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Language(s): eng - English
 Dates: 2020-03-102021-07
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1017/S0033291720000434
Other: epub 2020
PMID: 32151293
 Degree: -

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Project name : -
Grant ID : 81730049; 61473221; 31671144
Funding program : -
Funding organization : National Natural Science Foundation of China
Project name : -
Grant ID : 2019JJ40362
Funding program : -
Funding organization : Hunan Province Natural Science Foundation of China

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Title: Psychological Medicine
Source Genre: Journal
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Publ. Info: Cambridge, England : Cambridge University Press
Pages: - Volume / Issue: 51 (10) Sequence Number: - Start / End Page: 1687 - 1695 Identifier: ISSN: 0033-2917
CoNE: https://pure.mpg.de/cone/journals/resource/954927634419