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前额顶叶控制子网之间的功能耦合连接了默认网络和背侧注意网络。

Functional coupling between frontoparietal control subnetworks bridges the default and dorsal attention networks.

机构信息

School of Mathematics and Statistics, Southwest University, Chongqing, 400715, China.

Faculty of Psychology, Southwest University, Chongqing, 400715, China.

出版信息

Brain Struct Funct. 2022 Sep;227(7):2243-2260. doi: 10.1007/s00429-022-02517-7. Epub 2022 Jun 25.

Abstract

The frontoparietal control network (FPCN) plays a central role in tuning connectivity between brain networks to achieve integrated cognitive processes. It has been proposed that two subnetworks within the FPCN separately regulate two antagonistic networks: the FPCNa is connected to the default network (DN) that deals with internally oriented introspective processes, whereas the FPCNb is connected to the dorsal attention network (DAN) that deals with externally oriented perceptual attention. However, cooperation between the DN and DAN induced by distinct task demands has not been well-studied. Here, we characterized the dynamic cooperation among the DN, DAN, and two FPCN subnetworks in a task in which internally oriented self-referential processing could facilitate externally oriented visual working memory. Functional connectivity analysis showed enhanced coupling of a circuit from the DN to the FPCNa, then to the FPCNb, and finally to the DAN when the self-referential processing improved memory recognition in high self-referential conditions. The direct connection between the DN and DAN was not enhanced. This circuit could be reflected by an increased chain-mediating effect of the FPCNa and the FPCNb between the DN and DAN in high self-referential conditions. Graph analysis revealed that high self-referential conditions were accompanied by increased global and local efficiencies, and the increases were mainly driven by the increased efficiency of FPCN nodes. Together, our findings extend prior observations and indicate that the coupling between the two FPCN subnetworks serves as a bridge between the DN and DAN, supporting the interaction between internally oriented and externally oriented processes.

摘要

额顶控制网络(FPCN)在调节大脑网络之间的连通性以实现综合认知过程中起着核心作用。有人提出,FPCN 中的两个子网分别调节两个拮抗网络:FPCNa 与默认网络(DN)相连,该网络处理内部导向的内省过程,而 FPCNb 与背侧注意网络(DAN)相连,该网络处理外部导向的感知注意。然而,不同任务需求引起的 DN 和 DAN 之间的合作尚未得到很好的研究。在这里,我们在一个任务中描述了 DN、DAN 和两个 FPCN 子网之间的动态合作,在这个任务中,内部导向的自我参照处理可以促进外部导向的视觉工作记忆。功能连接分析显示,当自我参照处理在高自我参照条件下提高记忆识别时,从 DN 到 FPCNa、然后到 FPCNb、最后到 DAN 的回路的耦合增强。DN 和 DAN 之间的直接连接没有增强。当自我参照处理在高自我参照条件下提高记忆识别时,DN 和 DAN 之间的 FPCNa 和 FPCNb 的中介效应增加可以反映出这个回路。图分析显示,高自我参照条件伴随着全局和局部效率的增加,而这些增加主要是由 FPCN 节点效率的增加驱动的。总之,我们的发现扩展了先前的观察结果,并表明两个 FPCN 子网之间的耦合作为 DN 和 DAN 之间的桥梁,支持内部导向和外部导向过程之间的相互作用。

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