Creativity has been consistently linked to the default mode network (DMN) and conscientiousness. However, the specific core regions that are involved in the relationship between the DMN and creativity and the manner in which conscientiousness influences the neural mechanism that underlies creativity remain unexplored. Therefore, in the present study, we used a combination of graph theory techniques and affinity propagation clustering (APC) to identify the core subnetworks of the DMN that are related to creativity and examine predictive relationships between creativity and resting-state functional connectivity (RSFC). Additionally, the moderating role that two lower-order facets of conscientiousness, namely, industriousness and orderliness, play in this relationship was explored. The results showed that creativity was positively associated with the within-module degree (WMD) of one subnetwork of DMN (i.e., DMN2) and that industriousness was the only facet of conscientiousness that moderated this relationship. Specifically, creativity could be successfully predicted from the RSFC between DMN2 regions and all DMN regions in the high-industriousness group but not the low-industriousness group. Taken together, these results suggest that a core DMN subnetwork is crucial for creativity and that industriousness moderates the association between creativity and the DMN subnetwork.

中文翻译：

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勤奋节制了默认模式网络子系统和创造力之间的联系。

创造力一直与默认模式网络（DMN）和尽职尽责联系在一起。但是，DMN与创造力之间关系中所涉及的特定核心区域以及尽责性影响创造力基础的神经机制的方式仍待探索。因此，在本研究中，我们结合使用了图论技术和亲和力传播聚类（APC）来识别与创造力相关的DMN核心子网，并研究创造力与静态功能连接（RSFC）之间的预测关系。 。此外，还探讨了勤奋和有序的两个低阶方面在这种关系中所起的调节作用。结果表明，创造力与一个DMN子网（即DMN2）的模块内度（WMD）呈正相关，而勤奋是唯一能够减轻这种关系的良心。具体而言，可以从高工业化群体中的DMN2区域与所有DMN区域之间的RSFC成功地预测创造力，但不能从低工业化群体中成功地预测创造力。综上所述，这些结果表明，核心DMN子网对于创造力至关重要，勤劳调节了创造力与DMN子网之间的联系。可以通过DMN2区域与高工业性组中所有DMN区域之间的RSFC成功预测创造力，但不能通过低工业性组成功地预测创造力。综上所述，这些结果表明，核心DMN子网对于创造力至关重要，勤劳调节了创造力与DMN子网之间的联系。可以通过DMN2区域与高工业性组中所有DMN区域之间的RSFC成功预测创造力，而不能通过低工业性组来成功预测。综上所述，这些结果表明，核心DMN子网对于创造力至关重要，勤劳调节了创造力与DMN子网之间的联系。