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The Altered Triple Networks Interaction in Depression under Resting State Based on Graph Theory

机译:基于图论的静息状态下抑郁症三元网络交互作用的变化

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摘要

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.
机译:已经提出了三重网络模型(Menon,2011年),该模型有助于找到一个通用框架来理解跨多种疾病的核心神经认知网络的功能障碍。在重度抑郁症(MDD)中三重网络的改变尚不清楚。在我们的研究中,通过图论方法在MDD中检查了三重网络(包括默认模型网络(DMN),中央执行网络(CEN)和显着网络(SN))的交互更改。结果显示,与健康对照组(HC)相比,MDD中右前岛(rAI)的连通度显着增加,而MDD中DMN与CEN之间的连通度显着降低。这些结果不仅支持三元网络模型的提出,而且促使我们理解MDD中神经机制的功能障碍。

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