Department of Neurology, Medical College of Wisconsin, USA; Department of Biomedical Engineering, Medical College of Wisconsin, USA.
Department of Neurology, Medical College of Wisconsin, USA; Department of Biophysics, Medical College of Wisconsin, USA.
Brain Lang. 2024 May;252:105405. doi: 10.1016/j.bandl.2024.105405. Epub 2024 Apr 4.
This review examines whether and how the "default mode" network (DMN) contributes to semantic processing. We review evidence implicating the DMN in the processing of individual word meanings and in sentence- and discourse-level semantics. Next, we argue that the areas comprising the DMN contribute to semantic processing by coordinating and integrating the simultaneous activity of local neuronal ensembles across multiple unimodal and multimodal cortical regions, creating a transient, global neuronal ensemble. The resulting ensemble implements an integrated simulation of phenomenological experience - that is, an embodied situation model - constructed from various modalities of experiential memory traces. These situation models, we argue, are necessary not only for semantic processing but also for aspects of cognition that are not traditionally considered semantic. Although many aspects of this proposal remain provisional, we believe it provides new insights into the relationships between semantic and non-semantic cognition and into the functions of the DMN.
这篇综述考察了“默认模式网络”(DMN)是否以及如何促进语义处理。我们回顾了 DMN 参与单个单词意义处理以及句子和语篇水平语义处理的证据。接下来,我们认为,组成 DMN 的各个区域通过协调和整合来自多个单模态和多模态皮质区域的局部神经元集合的同时活动,来促进语义处理,从而创建一个短暂的、全局的神经元集合。由此产生的集合实现了对现象经验的综合模拟,即从各种经验记忆痕迹的模态构建的具身情境模型。我们认为,这些情境模型不仅是语义处理所必需的,而且对于传统上不被认为是语义的认知方面也是必需的。尽管这一观点的许多方面仍然是暂定的,但我们相信它为语义和非语义认知之间的关系以及 DMN 的功能提供了新的见解。