情景模型和默认模式网络

IF 3.5 2区 心理学 Q1 BEHAVIORAL SCIENCES
Alexander Barnett , Buddhika Bellana
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引用次数: 0

摘要

认知神经科学家一直对默认模式网络(DMN)如何促进认知感到困惑。对叙事研究的新兴趣导致了一种令人信服的可能性:DMN追踪了我们对当前“事态”的不断发展的理解——一种情境模型。在这篇文章中,我们借鉴话语处理的工作来描述情景模型是什么,然后使用这个框架来评估最近的神经影像学证据。最近的功能性磁共振成像研究表明,多元DMN活动对个体对当前情况的理解很敏感。我们还提出(i) DMN情境表征不是特定于社会或叙事内容,而是总结当前任务状态;(ii) DMN表征的分辨率相对较低,并与海马体一起为事件理解服务。总的来说,我们认为情境模型为理解DMN在人类认知中的作用提供了一个富有成效的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Situation models and the default mode network
Cognitive neuroscientists continue to puzzle over how the default mode network (DMN) contributes to cognition. A renewed interest in studying narratives has led to a compelling possibility: the DMN tracks our evolving understanding of the current ‘state of affairs’ — a situation model. In this piece, we draw upon work in discourse processing to characterize what a situation model is and then use this framework to evaluate recent neuroimaging evidence. Recent functional magnetic resonance imaging studies demonstrate multivariate DMN activity is sensitive to an individual’s construal of the current situation. We also propose that (i) DMN situation representations are not specific to social or narrative content and instead summarize the current task state; and (ii) DMN representations are relatively low resolution and work alongside the hippocampus in service of event comprehension. Overall, we contend that situation models provide a productive framework for understanding the role of the DMN in human cognition.
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来源期刊
Current Opinion in Behavioral Sciences
Current Opinion in Behavioral Sciences Neuroscience-Cognitive Neuroscience
CiteScore
10.90
自引率
2.00%
发文量
135
期刊介绍: Current Opinion in Behavioral Sciences is a systematic, integrative review journal that provides a unique and educational platform for updates on the expanding volume of information published in the field of behavioral sciences.
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