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Comprehending expository texts: the dynamic neurobiological correlates of building a coherent text representation

机译:理解说明性文本:建立连贯的文本表示形式的动态神经生物学相关性

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摘要

Little is known about the neural correlates of expository text comprehension. In this study, we sought to identify neural networks underlying expository text comprehension, how those networks change over the course of comprehension, and whether information central to the overall meaning of the text is functionally distinct from peripheral information. Seventeen adult subjects read expository passages while being scanned using functional magnetic resonance imaging (fMRI). By convolving phrase onsets with the hemodynamic response function (HRF), we were able to identify regions that increase and decrease in activation over the course of passage comprehension. We found that expository text comprehension relies on the co-activation of the semantic control network and regions in the posterior midline previously associated with mental model updating and integration [posterior cingulate cortex (PCC) and precuneus (PCU)]. When compared to single word comprehension, left PCC and left Angular Gyrus (AG) were activated only for discourse-level comprehension. Over the course of comprehension, reliance on the same regions in the semantic control network increased, while a parietal region associated with attention [intraparietal sulcus (IPS)] decreased. These results parallel previous findings in narrative comprehension that the initial stages of mental model building require greater visuospatial attention processes, while maintenance of the model increasingly relies on semantic integration regions. Additionally, we used an event-related analysis to examine phrases central to the text's overall meaning vs. peripheral phrases. It was found that central ideas are functionally distinct from peripheral ideas, showing greater activation in the PCC and PCU, while over the course of passage comprehension, central and peripheral ideas increasingly recruit different parts of the semantic control network. The finding that central information elicits greater response in mental model updating regions than peripheral ideas supports previous behavioral models on the cognitive importance of distinguishing textual centrality.
机译:关于说明文字理解的神经相关性知之甚少。在这项研究中,我们试图确定说明性文本理解基础的神经网络,这些网络在理解过程中如何变化以及对文本整体含义至关重要的信息在功能上是否不同于外围信息。十七名成人受试者在使用功能磁共振成像(fMRI)进行扫描的同时阅读了说明性文章。通过将词组发作与血液动力学响应函数(HRF)进行卷积,我们能够确定在通过理解过程中激活增加和减少的区域。我们发现,说明文字理解依赖于语义控制网络和后中线先前与心智模型更新和整合[后扣带回皮层(PCC)和前突神经(PCU)]相关联的共同激活。与单字理解相比,左PCC和左Angy Gyrus(AG)仅在语篇级理解中被激活。在理解的过程中,对语义控制网络中相同区域的依赖增加,而与注意力[腹腔沟(IPS)]相关的顶区则减少。这些结果与以前在叙述理解中的发现相类似,即心理模型构建的初始阶段需要更大的视觉空间注意过程,而模型的维护越来越依赖于语义整合区域。此外,我们使用了与事件相关的分析来检查与整体短语相对于外围短语相对而言是文本整体含义中心的短语。发现中心思想在功能上与外围思想不同,在PCC和PCU中表现出更大的激活性,而在通过理解的过程中,中心思想和外围思想越来越多地吸收语义控制网络的不同部分。中心信息在心理模型更新区域比外围思想引起更大反应的发现支持了以前的行为模型对区分文本中心性的认知重要性。

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