The effects of endogenous semantic variables during productive lexical retrieval: A Behavioral-Neural Dual Swinging Model (DSM)

IF 4.7 2区 医学 Q1 NEUROIMAGING
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引用次数: 0

Abstract

Conceptual preparation is the very initial step in language production. Endogenous semantic variables, reflecting the inherent semantic properties of concepts, could influence the productive lexical retrieval by modulating both conceptual activation and lexical selection. Yet, empirical understandings on this process and underlying mechanisms remain limited. Here, inspired by previous theoretical models and preliminary findings, we proposed a Behavioral-Neural Dual Swinging Model (DSM), revealing the swinging process between conceptual facilitation and lexical interference and extending to neural resource allocation during these processes. To further test the model, we examined the joint effect of semantic richness and semantic density on productive word retrieval both behaviorally and neurally, using a picture naming paradigm. Results nicely support the DSM by showing that the productive retrieval is driven by the swinging between semantic richness-induced conceptual facilitation primarily managed in semantic-related regions and semantic density-induced lexical interference managed in control-related regions. Moreover, the conceptual facilitation accumulated from semantic richness plays a decisive role, mitigating interference from competitors as well as the neural demands in control-related regions.

生产性词汇检索过程中内生语义变量的影响:行为-神经双重摇摆模型(DSM)。
概念准备是语言生成的第一步。内源性语义变量反映了概念固有的语义属性,可以通过调节概念激活和词汇选择来影响生产性词汇检索。然而,对这一过程及其内在机制的实证理解仍然有限。在此,受先前理论模型和初步研究结果的启发,我们提出了行为-神经双摆动模型(DSM),揭示了概念促进和词汇干扰之间的摆动过程,并延伸到这些过程中的神经资源分配。为了进一步检验该模型,我们使用图片命名范式,从行为和神经两方面考察了语义丰富度和语义密度对生产性词汇检索的共同影响。结果很好地支持了 DSM 模型,表明生产性检索是由主要由语义相关区域管理的语义丰富度诱导的概念促进和由控制相关区域管理的语义密度诱导的词汇干扰之间的摆动所驱动的。此外,语义丰富性所积累的概念促进起着决定性的作用,可以减轻来自竞争对手的干扰以及控制相关区域的神经需求。
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来源期刊
NeuroImage
NeuroImage 医学-核医学
CiteScore
11.30
自引率
10.50%
发文量
809
审稿时长
63 days
期刊介绍: NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.
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