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情景记忆检索受益于较少模块化的脑网络组织。

Episodic Memory Retrieval Benefits from a Less Modular Brain Network Organization.

作者信息

Westphal Andrew J, Wang Siliang, Rissman Jesse

机构信息

Department of Psychology,

Department of Psychology.

出版信息

J Neurosci. 2017 Mar 29;37(13):3523-3531. doi: 10.1523/JNEUROSCI.2509-16.2017. Epub 2017 Feb 27.

Abstract

Most complex cognitive tasks require the coordinated interplay of multiple brain networks, but the act of retrieving an episodic memory may place especially heavy demands for communication between the frontoparietal control network (FPCN) and the default mode network (DMN), two networks that do not strongly interact with one another in many task contexts. We applied graph theoretical analysis to task-related fMRI functional connectivity data from 20 human participants and found that global brain modularity-a measure of network segregation-is markedly reduced during episodic memory retrieval relative to closely matched analogical reasoning and visuospatial perception tasks. Individual differences in modularity were correlated with memory task performance, such that lower modularity levels were associated with a lower false alarm rate. Moreover, the FPCN and DMN showed significantly elevated coupling with each other during the memory task, which correlated with the global reduction in brain modularity. Both networks also strengthened their functional connectivity with the hippocampus during the memory task. Together, these results provide a novel demonstration that reduced modularity is conducive to effective episodic retrieval, which requires close collaboration between goal-directed control processes supported by the FPCN and internally oriented self-referential processing supported by the DMN. Modularity, an index of the degree to which nodes of a complex system are organized into discrete communities, has emerged as an important construct in the characterization of brain connectivity dynamics. We provide novel evidence that the modularity of the human brain is reduced when individuals engage in episodic memory retrieval, relative to other cognitive tasks, and that this state of lower modularity is associated with improved memory performance. We propose a neural systems mechanism for this finding where the nodes of the frontoparietal control network and default mode network strengthen their interaction with one another during episodic retrieval. Such across-network communication likely facilitates effective access to internally generated representations of past event knowledge.

摘要

大多数复杂的认知任务都需要多个脑网络的协同相互作用,但提取情景记忆的行为可能对额顶叶控制网络(FPCN)和默认模式网络(DMN)之间的通信有特别高的要求,这两个网络在许多任务情境中并不强烈相互作用。我们将图论分析应用于20名人类参与者与任务相关的功能磁共振成像(fMRI)功能连接数据,发现全局脑模块化——一种网络分离的度量——在情景记忆检索过程中相对于紧密匹配的类比推理和视觉空间感知任务显著降低。模块化的个体差异与记忆任务表现相关,即较低的模块化水平与较低的误报率相关。此外,在记忆任务期间,FPCN和DMN之间的耦合显著增加,这与脑模块化的全局降低相关。在记忆任务期间,这两个网络与海马体的功能连接也都增强了。总之,这些结果提供了一个新的证明,即模块化降低有利于有效的情景检索,这需要FPCN支持的目标导向控制过程与DMN支持的内部导向自我参照处理之间的密切协作。模块化是复杂系统的节点被组织成离散群落的程度的指标,已成为表征脑连接动力学的一个重要概念。我们提供了新的证据,表明相对于其他认知任务,当个体进行情景记忆检索时,人类大脑的模块化会降低,并且这种较低模块化的状态与记忆表现的改善相关。我们提出了一种针对这一发现的神经系统机制,即在情景检索过程中,额顶叶控制网络和默认模式网络的节点相互加强它们之间的相互作用。这种跨网络通信可能有助于有效地访问内部生成的过去事件知识表征。

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