通过元分析揭示具体概念和抽象概念的神经特异性

bioRxiv Pub Date : 2024-07-16 DOI:10.1101/2024.07.11.603079
Paul Hoffman, Matthew Bair
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引用次数: 0

摘要

识别处理具体和抽象概念的大脑系统是理解思维、记忆和语言神经结构的关键。我们回顾了目前关于具体性效应的理论,并通过对 72 项神经影像学研究的荟萃分析检验了这些理论的神经预测。具体概念优先激活视觉和动作处理区域,尤其是以句子形式呈现时;而抽象概念优先激活语言、社会认知和语义控制网络。在默认模式网络(DMN)中,两种概念类型都存在特化现象,其效应沿着社会空间轴线分化。具体概念在内侧颞叶 DMN 成分中产生了更大的激活,这与构建空间环境和场景的心理模型有关。抽象概念在涉及心智理论和语言的额颞叶 DMN 区域显示出更大的激活。这些结果支持了关于建立情境和事件模型是DMN核心功能的说法,并表明DMN内部对这些模型的不同方面具有特异性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neural specialisation for concrete and abstract concepts revealed through meta-analysis
Identifying the brain systems that process concrete and abstract concepts is key to understanding the neural architecture of thought, memory and language. We review current theories of concreteness effects and test their neural predictions in a meta-analysis of 72 neuroimaging studies. Concrete concepts preferentially activated visual and action processing regions, particularly when presented in sentences, while abstract concepts preferentially activated networks for language, social cognition and semantic control. Specialisation for both concept types was present in the default mode network (DMN), with effects dissociating along a social-spatial axis. Concrete concepts generated greater activation in a medial temporal DMN component, implicated in constructing mental models of spatial contexts and scenes. Abstract concepts showed greater activation in frontotemporal DMN regions involved in theory-of-mind and language. These results support claims that generating models of situations and events is a core DMN function and indicate specialisation within DMN for different aspects of these models.
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