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层次认知导致任务相关的去激活,但不仅仅是在默认模式区域。

Hierarchical Cognition Causes Task-Related Deactivations but Not Just in Default Mode Regions.

机构信息

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

出版信息

eNeuro. 2019 Jan 2;5(6). doi: 10.1523/ENEURO.0008-18.2018. eCollection 2018 Nov-Dec.

Abstract

The well-known deactivation of the default mode network (DMN) during external tasks is usually thought to reflect the suppression of internally directed mental activity during external attention. In three experiments with human participants we organized sequences of task events identical in their attentional and control demands into larger task episodes. We found that DMN deactivation across such sequential events was never constant, but was maximum at the beginning of the episode, then decreased gradually across the episode, reaching baseline towards episode completion, with the final event of the episode eliciting an activation. Crucially, this pattern of activity was not limited to a fixed set of DMN regions but, across experiments, was shown by a variable set of regions expected to be uninvolved in processing the ongoing task. This change in deactivation across sequential but identical events showed that the deactivation cannot be related to attentional/control demands which were constant across the episode, instead, it has to be related to some episode related load that was maximal at the beginning and then decreased gradually as parts of the episode got executed. We argue that this load resulted from cognitive programs through which the entire episode was hierarchically executed as one unit. At the beginning of task episodes, programs related to their entire duration is assembled, causing maximal deactivation. As execution proceeds, elements within the program related to the completed parts of the episode dismantle, thereby decreasing the program load and causing a decrease in deactivation.

摘要

在外部任务期间,默认模式网络(DMN)的去激活通常被认为反映了内部导向的心理活动在外部注意期间的抑制。在三个涉及人类参与者的实验中,我们将注意力和控制需求相同的任务事件序列组织成更大的任务片段。我们发现,在这样的序列事件中,DMN 的去激活从来都不是恒定的,而是在片段开始时最大,然后逐渐减少,在片段结束时达到基线,而片段的最后一个事件则引起激活。至关重要的是,这种活动模式不仅限于一组固定的 DMN 区域,而是在不同的实验中,都由一组预期与正在进行的任务处理无关的区域表现出来。这种在序列但相同的事件中去激活的变化表明,去激活不能与整个片段中保持不变的注意力/控制需求相关,而是必须与一些与片段相关的负荷相关,这种负荷在片段开始时最大,然后随着片段的执行逐渐减少。我们认为,这种负荷是由认知程序引起的,整个片段通过这些程序作为一个单元被分层执行。在任务片段开始时,与整个持续时间相关的程序被组装,导致最大的去激活。随着执行的进行,与片段中已完成部分相关的程序中的元素被拆除,从而降低了程序负荷并导致去激活减少。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c86e/6325562/c68e95394685/enu0061827960001.jpg

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