想象未来的认知加工成分及其脑网络

Imagining the Future: Cognitive Processes and Brain Networks

合理预期和想象未来事件或场景,有利于个体做出适应性反应,促进生存与发展。近年来,研究者对想象未来的认知加工成分和神经机制进行了深入探讨,提出了想象未来的相关概念和理论。我们首先概述了想象未来实验常用的思维采样范式和词语-线索范式,接着介绍了想象未来的自我参照加工、心理场景构建等认知加工成分。此外,特别介绍了想象未来的默认网络模型以及与之相关的其他大尺度脑网络,并进一步提出了想象未来的脑网络研究框架。未来的研究可从想象未来的动态脑网络、复杂脑网络以及与疾病的关系等角度入手,深入探究想象未来的神经机制。

Reasonably anticipating and imagining future events or scenes improves individuals＇ adaptability and promotes human＇s survival and development. In recent years, researchers have investigated the cognitive processes and brain mechanisms of imagining the future, and proposed corresponding concepts and theories. We firstly summarized the widely used thought-sampling procedures and word-cuing paradigms, and then self-referential processing, mental scene construction and other cognitive processes were also elaborated. Moreover, we specifically introduced the default mode network and other-related large-scale brain networks, and proposed one brain network framework for imagining the future. Future research needs to comprehensively investigate dynamic and complex brain networks and their relationships with specific diseases.