Faculty of Psychology, Southwest University, Chongqing, China.
Institute of Education, Sichuan Normal University, Chengdu, China.
Hum Brain Mapp. 2019 Jan;40(1):306-328. doi: 10.1002/hbm.24374. Epub 2018 Sep 21.
Intertemporal decision-making is naturally ubiquitous to us: individuals always make a decision with different consequences occurring at different moments. These choices are invariably involved in life-changing outcomes regarding marriage, education, fertility, long-term well-being, and even public policy. Previous studies have clearly uncovered the neurobiological mechanism of the intertemporal decision in the schemes of regional location or sub-network. However, it still remains unclear how to characterize intertemporal behavior with multimodal whole-brain network metrics to date. Here, we combined diffusion tensor image and resting-state functional connectivity MRI technology, in conjunction with graph-theoretical analysis, to explore the link between topological properties of integrated structural and functional whole-brain networks and intertemporal decision-making. Graph-theoretical analysis illustrated that the participants with steep discounting rates exhibited the decreased global topological organizations including small-world and rich-club regimes in both functional and structural connectivity networks, and reflected the dreadful local topological dynamics in the modularity of functional connectome. Furthermore, in the cross-modalities configuration, the same relationship was predominantly observed for the coupling of structural-functional connectivity as well. Above topological metrics are commonly indicative of the communication pattern of simultaneous global and local parallel information processing, and it thus reshapes our accounts on intertemporal decision-making from functional regional/sub-network scheme to multimodal brain overall organization.
个体总是在不同的时刻做出具有不同后果的决策。这些选择总是涉及到婚姻、教育、生育、长期福祉,甚至公共政策等方面的人生改变结果。先前的研究已经清楚地揭示了区域位置或子网方案中跨期决策的神经生物学机制。然而,迄今为止,如何用多模态全脑网络指标来描述跨期行为仍然不清楚。在这里,我们结合弥散张量成像和静息态功能连接磁共振成像技术,结合图论分析,探讨了综合结构和功能全脑网络的拓扑性质与跨期决策之间的联系。图论分析表明,折现率较高的参与者在功能和结构连接网络中表现出全局拓扑组织的减少,包括小世界和丰富俱乐部状态,并且反映了功能连接组模块中的局部拓扑动态的恶化。此外,在跨模态配置中,结构-功能连接的耦合也主要观察到相同的关系。上述拓扑指标通常表明同时进行的全局和局部并行信息处理的通信模式,因此从功能区域/子网方案重塑了我们对跨期决策的认识,转向多模态大脑整体组织。