The altered triple networks interaction in depression under resting state based on graph theory

Hongna Zheng, Lele Xu, Fufang Xie, Xiaojuan Guo, Jiacai Zhang, Li Yao, Xia Wu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

58 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number386326
JournalBioMed Research International
Volume2015
DOIs
Publication statusPublished - 2015
Externally publishedYes

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