Faculty of Psychology, Southwest University, Chongqing, China; Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing, China.
Faculty of Psychology, Southwest University, Chongqing, China; Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing, China.
Brain Cogn. 2022 Aug;161:105882. doi: 10.1016/j.bandc.2022.105882. Epub 2022 Jun 6.
Procrastination refers to an irrationally delay for intended courses of action despite of anticipating a negative consequence due to this delay. Previous studies tried to reveal the neural substrates of procrastination in terms of connectome-based biomarkers. Based on this, we proposed a unified triple brain network model for procrastination and pinpointed out what challenges we are facing in understanding neural mechanism of procrastination. Specifically, based on neuroanatomical features, the unified triple brain network model proposed that connectome-based underpinning of procrastination could be ascribed to the abnormalities of self-control network (i.e., dorsolateral prefrontal cortex, DLPFC), emotion-regulation network (i.e., orbital frontal cortex, OFC), and episodic prospection network (i.e., para-hippocampus cortex, PHC). Moreover, based on the brain functional features, procrastination had been attributed to disruptive neural circuits on FPN (frontoparietal network)-SCN (subcortical network) and FPN-SAN (salience network), which led us to hypothesize the crucial roles of interplay between these networks on procrastination in unified triple brain network model. Despite of these findings, poor interpretability and computational model limited further understanding for procrastination from theoretical and neural perspectives. On balance, the current study provided an overview to show current progress on the connectome-based biomarkers for procrastination, and proposed the integrative neurocognitive model of procrastination.
拖延是指尽管预期由于这种延迟会产生负面后果,但仍不合理地推迟预定的行动过程。先前的研究试图从连接组学生物标志物的角度揭示拖延的神经基础。在此基础上,我们提出了一个统一的三重脑网络模型来研究拖延,并指出了我们在理解拖延的神经机制方面所面临的挑战。具体来说,根据神经解剖学特征,所提出的统一三重脑网络模型认为,拖延的连接组学基础可以归因于自我控制网络(即背外侧前额叶皮层,DLPFC)、情绪调节网络(即眶额皮层,OFC)和情景展望网络(即海马旁回皮层,PHC)的异常。此外,基于脑功能特征,拖延被归因于 FPN(额顶网络)-SCN(皮质下网络)和 FPN-SAN(突显网络)上的破坏神经回路,这使我们假设这些网络之间的相互作用对统一三重脑网络模型中拖延的关键作用。尽管有这些发现,但较差的可解释性和计算模型限制了从理论和神经角度进一步理解拖延。总的来说,本研究提供了一个概述,展示了基于连接组学的拖延生物标志物的最新进展,并提出了拖延的综合神经认知模型。