Department of Psychological & Brain Sciences, Dartmouth College, Hanover, New Hampshire 03755
J Neurosci. 2024 Nov 6;44(45):e0288242024. doi: 10.1523/JNEUROSCI.0288-24.2024.
Different people listening to the same story may converge upon a largely shared interpretation while still developing idiosyncratic experiences atop that shared foundation. What linguistic properties support this individualized experience of natural language? Here, we investigate how the "concrete-abstract" axis-the extent to which a word is grounded in sensory experience-relates to within- and across-subject variability in the neural representations of language. Leveraging a dataset of human participants of both sexes who each listened to four auditory stories while undergoing functional magnetic resonance imaging, we demonstrate that neural representations of "concreteness" are both reliable across stories and relatively unique to individuals, while neural representations of "abstractness" are variable both within individuals and across the population. Using natural language processing tools, we show that concrete words exhibit similar neural representations despite spanning larger distances within a high-dimensional semantic space, which potentially reflects an underlying representational signature of sensory experience-namely, imageability-shared by concrete words but absent from abstract words. Our findings situate the concrete-abstract axis as a core dimension that supports both shared and individualized representations of natural language.
不同的人听同一个故事,可能会在很大程度上达成共识,但同时在这个共识基础上发展出独特的体验。哪些语言属性支持自然语言的这种个性化体验?在这里,我们研究了“具体-抽象”轴(一个词在多大程度上基于感官体验)与语言神经表现的个体内和个体间变异性之间的关系。我们利用了一个包含男女参与者的数据集,每个参与者在进行功能磁共振成像的同时听了四个听觉故事,我们证明了“具体性”的神经表现不仅在故事之间是可靠的,而且相对个体独特,而“抽象性”的神经表现则在个体内和整个群体内都是可变的。我们使用自然语言处理工具表明,尽管在高维语义空间中跨越更大的距离,具体词汇仍表现出相似的神经表现,这可能反映了具体词汇所共有的、来自感官体验的潜在代表性特征——即可想象性,而抽象词汇则没有这种特征。我们的研究结果将具体-抽象轴定位为支持自然语言的共享和个性化表达的核心维度。