Department of Psychology, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Hum Brain Mapp. 2022 Jul;43(10):3195-3206. doi: 10.1002/hbm.25844. Epub 2022 Mar 28.
Recent research suggests there is a neural organization for representing abstract concepts that is common across English speakers. To investigate the possible role of language on the representation of abstract concepts, multivariate pattern analytic (MVPA) techniques were applied to fMRI data to compare the neural representations of 28 individual abstract concepts between native English and Mandarin speakers. Factor analyses of the activation patterns of the 28 abstract concepts from both languages characterized this commonality in terms of a set of four underlying neurosemantic dimensions, indicating the degree to which a concept is verbally represented, internal to the person, contains social content, and is rule-based. These common semantic dimensions (factors) underlying the 28 concepts provided a sufficient basis for reliably identifying the individual abstract concepts from their neural signature in the other language with a mean rank accuracy of 0.65 (p < .001). Although the neural dimensions used for representing abstract concepts are common across languages, differences in the meaning of some individual concepts can be accommodated in terms of differential salience of particular dimensions. These semantic dimensions constitute a set of neurocognitive resources for abstract concept representations within a larger set of regions responsible for general semantic processing.
最近的研究表明,英语使用者之间存在一种用于表示抽象概念的神经组织。为了研究语言对抽象概念表示的可能作用,研究人员将多变量模式分析(MVPA)技术应用于 fMRI 数据,以比较母语为英语和母语为普通话的人对 28 个个体抽象概念的神经表示。对来自两种语言的 28 个抽象概念的激活模式进行的因子分析,以一套四个潜在的神经语义维度来描述这种共性,这四个维度分别是概念的语言表达程度、内在性、社会内容和基于规则。这 28 个概念背后的共同语义维度(因素)为可靠地从另一种语言的神经特征中识别个体抽象概念提供了充分的基础,平均秩准确率为 0.65(p < 0.001)。尽管用于表示抽象概念的神经维度在不同语言之间是共同的,但某些个体概念的意义差异可以通过特定维度的差异显著性来适应。这些语义维度构成了一套用于抽象概念表示的神经认知资源,它们存在于负责一般语义处理的更大的区域集合中。