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The Altered Triple Networks Interaction in Depression under Resting State Based on Graph Theory
Joint Authors
Zheng, Hongna
Xu, Lele
Xie, Fufang
Guo, Xiaojuan
Zhang, Jiacai
Yao, Li
Wu, Xia
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-09
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The triple network model (Menon, 2011) has been proposed, which helps with finding a common framework for understanding the dysfunction in core neurocognitive network across multiple disorders.
The alteration of the triple networks in the major depression disorder (MDD) is not clear.
In our study, the altered interaction of the triple networks, which include default model network (DMN), central executive network (CEN), and salience network (SN), was examined in the MDD by graph theory method.
The results showed that the connectivity degree of right anterior insula (rAI) significantly increased in MDD compared with healthy control (HC), and the connectivity degree between DMN and CEN significantly decreased in MDD.
These results not only supported the proposal of the triple network model, but also prompted us to understand the dysfunction of neural mechanism in MDD.
American Psychological Association (APA)
Zheng, Hongna& Xu, Lele& Xie, Fufang& Guo, Xiaojuan& Zhang, Jiacai& Yao, Li…[et al.]. 2015. The Altered Triple Networks Interaction in Depression under Resting State Based on Graph Theory. BioMed Research International،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1055278
Modern Language Association (MLA)
Zheng, Hongna…[et al.]. The Altered Triple Networks Interaction in Depression under Resting State Based on Graph Theory. BioMed Research International No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1055278
American Medical Association (AMA)
Zheng, Hongna& Xu, Lele& Xie, Fufang& Guo, Xiaojuan& Zhang, Jiacai& Yao, Li…[et al.]. The Altered Triple Networks Interaction in Depression under Resting State Based on Graph Theory. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1055278
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1055278