The Altered Triple Networks Interaction in Depression under Resting State Based on Graph Theory
Hongna Zheng1, Lele Xu1, Fufang Xie1
1College of Information Science and Technology, Beijing Normal University, No. 19 Xin Jie Kou Wai Da Jie, Beijing 100875, China.
Researchers explored the triple network model in major depression disorder (MDD). They found altered connectivity in the default mode network (DMN), central executive network (CEN), and salience network (SN), offering insights into MDD
Area of Science:
- Neuroscience
- Psychiatry
- Cognitive Science
Background:
- The triple network model provides a framework for understanding neurocognitive network dysfunction.
- Alterations in these networks in major depression disorder (MDD) remain unclear.
Purpose of the Study:
- To investigate the altered interactions within the default mode network (DMN), central executive network (CEN), and salience network (SN) in MDD.
- To examine the neural mechanisms underlying MDD using graph theory.
Main Methods:
- Utilized graph theory to analyze brain network connectivity.
- Compared triple network interactions in individuals with MDD and healthy controls (HC).
Main Results:
- Significant increase in the connectivity degree of the right anterior insula (rAI) in MDD patients compared to HC.
- Significant decrease in connectivity between the DMN and CEN in MDD patients.
Conclusions:
- Findings support the validity of the triple network model in explaining neurocognitive dysfunction.
- Results provide a deeper understanding of the neural mechanisms implicated in MDD.
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