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这就是聚光灯下的我:自我意识个体差异的神经基础。

That's me in the spotlight: neural basis of individual differences in self-consciousness.

机构信息

Department of Psychology, University of York, Heslington, York, UK.

出版信息

Soc Cogn Affect Neurosci. 2017 Sep 1;12(9):1384-1393. doi: 10.1093/scan/nsx076.

Abstract

A long-standing literature implicates activity within the default mode network (DMN) to processes linked to the self. However, contemporary work suggests that other large-scale networks networks might also be involved. For instance, goal-directed autobiographical planning requires positive functional connectivity (FC) between DMN and frontoparietal control (FPCN) networks. The present study examined the inter-relationship between trait self-focus (measured via a self-consciousness scale; SCS), incidental memory in a self-reference paradigm, and resting state FC of large-scale networks. Behaviourally, we found that private SCS was linked to stronger incidental memory for self-relevant information. We also examined how patterns of FC differed according to levels of self-consciousness by using the SCS data to drive multiple regression analyses with seeds from the DMN, the FPCN and the limbic network. High levels of SCS was not linked to differences in the functional behaviour of the DMN, however, it was linked to stronger FC between FPCN and a cluster extending into the hippocampus, which meta analytic decoding using Neurosynth linked to episodic memory retrieval. Subsequent analysis demonstrated that trait variance in this pattern of FC was a moderator for the observed relationship between private SCS and enhanced memory for self-items. Together these findings suggest that interactions between the FPCN and hippocampus may support the memory advantage of self-relevant information associated with SCS and confirm theoretical positions that argue that that self-related processing does not simply depend upon the DMN, but instead relies on complex patterns of interactions between multiple large-scale networks.

摘要

一段长期存在的文献暗示,默认模式网络(DMN)中的活动与与自我相关的过程有关。然而,当代的研究表明,其他大规模网络也可能参与其中。例如,目标导向的自传体规划需要 DMN 和额顶控制(FPCN)网络之间的正功能连接(FC)。本研究考察了特质自我关注(通过自我意识量表测量;SCS)、自我参照范式中的偶然记忆和静息状态大网络 FC 之间的相互关系。行为上,我们发现私人 SCS 与自我相关信息的偶然记忆更强有关。我们还通过使用 SCS 数据来驱动来自 DMN、FPCN 和边缘网络的种子的多元回归分析,来检查根据自我意识水平 FC 模式的差异,以了解 SCS 水平与 DMN 功能行为的差异。然而,SCS 水平较高与 FPCN 和延伸到海马体的集群之间的 FC 增强有关,使用 Neurosynth 进行的元分析解码与情节记忆检索有关。随后的分析表明,这种 FC 模式的特质方差是观察到的私人 SCS 与自我项目记忆增强之间关系的调节变量。这些发现共同表明,FPCN 和海马体之间的相互作用可能支持与 SCS 相关的自我相关信息的记忆优势,并证实了理论观点,即自我相关处理不仅仅依赖于 DMN,而是依赖于多个大规模网络之间复杂的相互作用模式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a11/5629813/d44ca778eaf6/nsx076f1.jpg

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