MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge UK.
Cereb Cortex. 2020 Sep 3;30(10):5484-5501. doi: 10.1093/cercor/bhaa130.
Our understanding about the functionality of the brain's default network (DN) has significantly evolved over the past decade. Whereas traditional views define this network based on its suspension/disengagement during task-oriented behavior, contemporary accounts have characterized various situations wherein the DN actively contributes to task performance. However, it is unclear how different task-contexts drive componential regions of the DN to coalesce into a unitary network and fractionate into different subnetworks. Here we report a compendium of evidence that provides answers to these questions. Across multiple analyses, we found a striking dyadic structure within the DN in terms of the profiles of task-triggered fMRI response and effective connectivity, significantly extending beyond previous inferences based on meta-analysis and resting-state activities. In this dichotomy, one subset of DN regions prefers mental activities "interfacing with" perceptible events, while the other subset prefers activities "detached from" perceptible events. While both show a common "aversion" to sensory-motoric activities, their differential preferences manifest a subdivision that sheds light upon the taxonomy of the brain's memory systems. This dichotomy is consistent with proposals of a macroscale gradational structure spanning across the cerebrum. This gradient increases its representational complexity, from primitive sensory-motoric processing, through lexical-semantic representations, to elaborated self-generated thoughts.
在过去的十年中,我们对大脑默认网络(DN)功能的理解有了显著的发展。传统观点基于其在任务导向行为中的暂停/脱离来定义这个网络,而当代的观点则描述了各种情况下 DN 如何主动促进任务表现。然而,不同的任务情境如何驱动 DN 的组成区域凝聚成一个单一的网络并分裂成不同的子网仍然不清楚。在这里,我们报告了一份证据汇编,为这些问题提供了答案。在多项分析中,我们发现 DN 内部存在一种引人注目的二元结构,表现在任务触发 fMRI 反应和有效连接的特征上,这大大超出了基于元分析和静息状态活动的先前推断。在这种二分法中,DN 的一部分区域更喜欢与可感知事件“接口”的心理活动,而另一部分区域则更喜欢与可感知事件“分离”的活动。虽然两者都表现出对感觉运动活动的共同“厌恶”,但它们的不同偏好表现出一种细分,这为大脑记忆系统的分类学提供了启示。这种二分法与横跨大脑的宏观梯度结构的提议一致。这个梯度增加了其表示的复杂性,从原始的感觉运动处理,通过词汇语义表示,到精心制作的自我产生的思想。