A brain network model for depression: negative affective processing and cognitive control

Zhengzhi FENG; Chengju LIAO

doi:10.16016/j.2097-0927.202305118

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A brain network model for depression: negative affective processing and cognitive control

Expert Review | 更新时间：2026-01-09

- A brain network model for depression: negative affective processing and cognitive control
- Journal of Army Medical University Vol. 45, Issue 23, Pages: 2395-2402(2023)
- 作者机构：
  
  400038 重庆，陆军军医大学医学心理系
- 作者简介：
- 基金信息：
  
  the General Program of National Natural Science Foundation of China(81971278)
- DOI：10.16016/j.2097-0927.202305118
  CLC： R318.04;R395.2;R749.4
- Received：01 June 2023，
  
  Revised：2023-09-06，
  
  Published：15 December 2023
- 稿件说明：
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Zhengzhi FENG, Chengju LIAO. A brain network model for depression: negative affective processing and cognitive control[J]. Journal of Army Medical University, 2023, 45(23): 2395-2402.
DOI：

Zhengzhi FENG, Chengju LIAO. A brain network model for depression: negative affective processing and cognitive control[J]. Journal of Army Medical University, 2023, 45(23): 2395-2402. DOI： 10.16016/j.2097-0927.202305118.

摘要

抑郁症患者负性认知偏向是导致抑郁的一个主要认知因素，是抑郁症的一个稳定特质。以往研究从情绪加工增强和认知控制不足等认知角度来解释抑郁症产生的原因。随着研究的深入，情绪加工过程进一步研究不同负性认知加工偏向(注意偏向、解释偏向和记忆偏向)在抑郁症的产生机制；认知控制过程则进一步探讨其子成分功能(更新、抑制和转换)在抑郁症的调控机制。尤其结合当前认知神经领域的脑网络层级分析趋势，文章通过抑郁症“双路径层级网络模型”解释抑郁的产生，即由于“热”—“中间调节”—“冷”三级脑网络群，通过自下而上的情绪加工和自上而下的认知控制两条路径，形成一个“闭环神经回路”，三者相互作用，共同介导抑郁产生。

Abstract

Negative cognitive bias toward emotional stimuli is a main cognitive factor for depression

and also is a stable trait of depression. Previous studies showed enhanced negative affective processing and insufficient cognitive control can account for pathogenesis of depression

in terms of cognition. With the development of related researches

the mechanism of different negative cognitive biases (attention bias

processing bias and memory bias) in affective processing and the sub-component functions of cognitive control (updating

inhibiting and shifting) in depression were further studied. Especially in combination with the trend analysis of "neural network hierarchy" in the current cognitive neural field

we put forward a theoretical hypothesis of "dual-path hierarchical network model" for depression. That is

depression is caused by 3-level brain network of "heat"-"intermediate regulation"-"cold"

which forms a "closed-loop neural circuit" through the paths of bottom-up affective processing and top-down cognitive control

with the 3 brain networks interacting together and finally mediating to depression.

关键词

Keywords

references

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