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默认模式网络和多重需求网络在自然决策与符号决策中的作用。

Roles of the Default Mode and Multiple-Demand Networks in Naturalistic versus Symbolic Decisions.

机构信息

Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, Cambridge CB2 7EF, United Kingdom

Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, Cambridge CB2 7EF, United Kingdom.

出版信息

J Neurosci. 2021 Mar 10;41(10):2214-2228. doi: 10.1523/JNEUROSCI.1888-20.2020. Epub 2021 Jan 20.

Abstract

The default mode network (DMN) is often associated with representing semantic, social, and situational content of contexts and episodes. The DMN may therefore be important for contextual decision-making, through representing situational constraints and simulating common courses of events. Most decision-making paradigms, however, use symbolic stimuli and instead implicate cognitive control regions, such as the multiple demand (MD) system. This fMRI study aimed to contrast the brain mechanisms underlying decision-making based on rich naturalistic contexts or symbolic cues. While performing an ongoing task, 40 human participants (25 female) responded to different sounds. For one sound, the stimulus-response mapping was fixed; responses for the other sounds depended on the visual context: either lifelike scenes or letter symbols, varying across participants. Despite minimal behavioral differences between the groups, posterior DMN regions showed increased activity during context-dependent decision-making using the naturalistic scenes only, compared with symbolic cues. More anterior temporal and frontal DMN regions showed a different pattern, with sensitivity to the need for contextual control, but not to the type of context. Furthermore, in the scenes group, widespread DMN regions showed stronger representation of not just the context but also the sound whose significance it modulated. In comparison, the MD system showed strong univariate activity for every decision, but, intriguingly, somewhat reduced activity in the case of a scene-based but demanding context-dependent decision. Depending on context, we suggest, either DMN or MD regions may play a prominent role in selection and control of appropriate behavior. Contextual knowledge is widely believed to be important for guiding real-world goal-directed behavior. Much remains to be understood, however, regarding the underlying brain mechanisms. Using a novel paradigm to contrast decisions based on richly meaningful naturalistic scenes with decisions based on symbolic cues, we find that both multiple demand regions and default mode regions may contribute to the cognitive control of behavior. Rich semantic context enhances representation not just of the context itself, but also of the contents of the decision that it controls. Dependence of a decision on naturalistic context can also reverse the common pattern of multiple demand regions responding more, and default mode regions responding less, to more difficult decisions.

摘要

默认模式网络(DMN)通常与代表语义、社会和情境内容的上下文和情节有关。因此,DMN可能对情境决策很重要,通过代表情境约束和模拟常见的事件过程。然而,大多数决策范式使用符号刺激,而是暗示认知控制区域,如多需求(MD)系统。这项 fMRI 研究旨在对比基于丰富自然情境或符号线索的决策的大脑机制。在进行一项持续任务时,40 名人类参与者(25 名女性)对不同的声音做出反应。对于一种声音,刺激-反应映射是固定的;对于其他声音的反应取决于视觉上下文:要么是逼真的场景,要么是字母符号,参与者之间各不相同。尽管两组参与者的行为差异很小,但仅使用自然场景进行情境依赖决策时,后 DMN 区域的活动增加,而使用符号线索时则减少。更靠前的颞叶和额叶 DMN 区域表现出不同的模式,对情境控制的需求敏感,但对情境类型不敏感。此外,在场景组中,不仅 DMN 区域广泛地对场景本身进行了更强的表示,而且对其调节意义的声音也进行了更强的表示。相比之下,MD 系统对每个决策都表现出强烈的单变量活动,但有趣的是,在基于场景但要求较高的情境依赖决策的情况下,活动有所减少。根据情境的不同,我们认为,DMN 或 MD 区域可能在选择和控制适当的行为方面发挥突出作用。情境知识被广泛认为对指导现实世界的目标导向行为很重要。然而,关于潜在的大脑机制,还有很多需要了解。通过使用一种新的范式来对比基于丰富有意义的自然场景的决策和基于符号线索的决策,我们发现,多需求区域和默认模式区域都可能对行为的认知控制做出贡献。丰富的语义情境不仅增强了对情境本身的表示,还增强了对其控制的决策内容的表示。决策对自然情境的依赖也可以逆转多需求区域对更困难决策的反应更强烈,而默认模式区域的反应更弱的常见模式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/857b/8018769/c4b827521797/SN-JNSJ210030F001.jpg

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