Lin Pan, Yang Yong, Jovicich Jorge, De Pisapia Nicola, Wang Xiang, Zuo Chun S, Levitt James Jonathan
Key Laboratory of Biomedical Information Engineering of Education Ministry, Institute of Biomedical Engineering, Xi'an Jiaotong University, Xi'an, 710049, China.
Center for Mind/Brain Sciences, University of Trento, Mattarello, 38100, Italy.
Brain Imaging Behav. 2016 Mar;10(1):212-25. doi: 10.1007/s11682-015-9384-6.
Characterization of the default mode network (DMN) as a complex network of functionally interacting dynamic systems has received great interest for the study of DMN neural mechanisms. In particular, understanding the relationship of intrinsic resting-state DMN brain network with cognitive behaviors is an important issue in healthy cognition and mental disorders. However, it is still unclear how DMN functional connectivity links to cognitive behaviors during resting-state. In this study, we hypothesize that static and dynamic DMN nodal topology is associated with upcoming cognitive task performance. We used graph theory analysis in order to understand better the relationship between the DMN functional connectivity and cognitive behavior during resting-state and task performance. Nodal degree of the DMN was calculated as a metric of network topology. We found that the static and dynamic posterior cingulate cortex (PCC) nodal degree within the DMN was associated with task performance (Reaction Time). Our results show that the core node PCC nodal degree within the DMN was significantly correlated with reaction time, which suggests that the PCC plays a key role in supporting cognitive function.
将默认模式网络(DMN)表征为功能相互作用的动态系统的复杂网络,已引起人们对DMN神经机制研究的极大兴趣。特别是,了解内在静息态DMN脑网络与认知行为之间的关系,是健康认知和精神障碍研究中的一个重要问题。然而,静息态期间DMN功能连接如何与认知行为相关联仍不清楚。在本研究中,我们假设静态和动态DMN节点拓扑结构与即将进行的认知任务表现相关。我们使用图论分析,以便更好地理解静息态和任务执行期间DMN功能连接与认知行为之间的关系。计算DMN的节点度作为网络拓扑结构的一个指标。我们发现,DMN内静态和动态后扣带回皮质(PCC)节点度与任务表现(反应时间)相关。我们的结果表明,DMN内的核心节点PCC节点度与反应时间显著相关,这表明PCC在支持认知功能方面起关键作用。