University of Edinburgh.
J Cogn Neurosci. 2024 Nov 1;36(11):2495-2517. doi: 10.1162/jocn_a_02228.
Making sense of natural language and narratives requires building and manipulating a situation model by adding incoming information to the model and using the context stored in the model to comprehend subsequent details and events. Situation model maintenance is supported by the default mode network (DMN), but comprehension of the individual moments in the narrative relies on access to the conceptual store within the semantic system. The present study examined how these systems are engaged by different narrative content to investigate whether highly informative, or semantic, content is a particularly strong driver of semantic system activation compared with contextually driven content that requires using the situation model, which might instead engage DMN regions. The study further investigated which subregions of the graded semantic hub in the left anterior temporal lobe (ATL) were engaged by the type of narrative content. To do this, we quantified the semantic, pragmatic, social, ambiguous, and emotional content for each sentence in a complete narrative, the English translation of The Little Prince. Increased activation in the transmodal hub in the ventral ATL was only observed for high semantic (i.e., informative) relative to low semantic sentences. Activation in the dorsolateral and ventrolateral ATL subregions was observed for both high relative to low semantic and social content sentences, but the ventrolateral ATL effects were more extensive in the social condition. There was high correspondence between the social and pragmatic content results, particularly in the ventrolateral ATL. We argue that the ventrolateral ATL may be particularly engaged by internal, or endogenous, processing demands, aided by functional connections between the anterior middle temporal gyrus and the DMN. Pragmatic and social content may have driven endogenous processing given the pervasive and plot-progressing nature of this content in the narrative. We put forward a revised account of how the semantic system is engaged in naturalistic contexts, a critical step toward better understanding real-world semantic and social processing.
理解自然语言和叙述需要通过将输入信息添加到模型中并利用模型中存储的上下文来理解后续的细节和事件来构建和操作情境模型。情境模型的维护得到默认模式网络 (DMN) 的支持,但是对叙述中各个时刻的理解依赖于对语义系统中概念存储的访问。本研究通过考察不同叙述内容如何利用这些系统来研究高信息量或语义内容是否比需要使用情境模型的上下文驱动内容更能强烈地激活语义系统,而情境模型可能会激活 DMN 区域。研究进一步探讨了左前颞叶 (ATL) 分级语义中枢的哪些亚区被叙述内容的类型所激活。为此,我们量化了完整叙述《小王子》中每个句子的语义、语用、社交、歧义、情感内容。仅在高语义(即信息丰富)相对于低语义句子时,观察到腹侧 ATL 中转模态中枢的激活增加。在背外侧和腹侧 ATL 亚区观察到高语义和社交内容句子的激活,但在社交条件下,腹侧 ATL 的激活更为广泛。社会和语用内容的结果之间存在高度一致性,特别是在腹侧 ATL 中。我们认为腹侧 ATL 可能特别受内部或内源性处理需求的影响,这得益于前中颞叶和 DMN 之间的功能连接。鉴于这种内容在叙述中的普遍存在和情节推进性质,语用和社交内容可能会驱动内源性处理。我们提出了一种关于语义系统如何在自然语境中被激活的修订解释,这是更好地理解现实世界语义和社交处理的关键步骤。