Malik-Moraleda Saima, Jouravlev Olessia, Taliaferro Maya, Mineroff Zachary, Cucu Theodore, Mahowald Kyle, Blank Idan A, Fedorenko Evelina
Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139.
McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139.
bioRxiv. 2024 Jan 30:2023.01.19.524657. doi: 10.1101/2023.01.19.524657.
How do polyglots-individuals who speak five or more languages-process their languages, and what can this population tell us about the language system? Using fMRI, we identified the language network in each of 34 polyglots (including 16 hyperpolyglots with knowledge of 10+ languages) and examined its response to the native language, non-native languages of varying proficiency, and unfamiliar languages. All language conditions engaged all areas of the language network relative to a control condition. Languages that participants rated as higher-proficiency elicited stronger responses, except for the native language, which elicited a similar or lower response than a non-native language of similar proficiency. Furthermore, unfamiliar languages that were typologically related to the participants' high-to-moderate-proficiency languages elicited a stronger response than unfamiliar unrelated languages. The results suggest that the language network's response magnitude scales with the degree of engagement of linguistic computations (e.g., related to lexical access and syntactic-structure building). We also replicated a prior finding of weaker responses to native language in polyglots than non-polyglot bilinguals. These results contribute to our understanding of how multiple languages co-exist within a single brain and provide new evidence that the language network responds more strongly to stimuli that more fully engage linguistic computations.
多语言者(即会说五种或五种以上语言的人)是如何处理他们的语言的,以及这群人能让我们对语言系统有哪些了解?我们使用功能磁共振成像(fMRI)技术,确定了34位多语言者(包括16位掌握10种及以上语言的超级多语言者)各自的语言网络,并研究了该网络对母语、不同熟练程度的非母语以及陌生语言的反应。相对于一个对照条件,所有语言条件都激活了语言网络的所有区域。参与者评定为熟练程度较高的语言会引发更强的反应,但母语除外,母语引发的反应与熟练程度相近的非母语引发的反应相似或更低。此外,在类型学上与参与者熟练程度较高至中等的语言相关的陌生语言,比不相关的陌生语言引发的反应更强。结果表明,语言网络的反应强度与语言计算(例如与词汇检索和句法结构构建有关)的参与程度成正比。我们还重复了之前的一项发现,即多语言者对母语的反应比对非多语言的双语者更弱。这些结果有助于我们理解多种语言如何在单个大脑中共存,并提供了新的证据,证明语言网络对更充分参与语言计算的刺激反应更强。