Distinct activated cortical areas and volumes in Uygur-Chinese bilinguals

Jiang, Mei; Yang, Lixia; Jia, Lin; Shi, Xin; Hong, Wang; Wang, Linyun; Abaydulla, Yari; Zhu, Lina; Jia, Wenxiao

doi:10.1515/tnsci-2015-0024

Cited by 2 publications

(1 citation statement)

References 21 publications

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“…Uyghur belongs to the Turkic language family, which is spoken by Uyghurs in the Xinjiang Uygur Autonomous Region of China. Uyghur is a transparent orthography because its pronunciation strictly conforms to the GPC rules (e.g., ش in شام /ʃam/ maps to /ʃ/; ت in تام /tam/maps to /t/) (Jiang et al, 2015; Zhao, Zhang, Chen, Zhou, & Zuo, 2016). Therefore, both Uyghur and English are alphabetic languages, which have a regular/semiregular alphabetic principle when converting graphemes to phonemes, whereas Chinese is a logographic language that has no letter‐phoneme mapping rules (Chen et al, 2009; Perfetti & Tan, 2013; Tan et al, 2005; Zhao et al, 2016; Ziegler & Goswami, 2005).…”

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confidence: 99%

Language distance in orthographic transparency affects cross‐language pattern similarity between native and non‐native languages

Dong

Chen

et al. 2020

Human Brain Mapping

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How native and non‐native languages are represented in the brain is one of the most important questions in neurolinguistics. Much research has found that the similarity in neural activity of native and non‐native languages are influenced by factors such as age of acquisition, language proficiency, and language exposure in the non‐native language. Nevertheless, it is still unclear how the similarity between native and non‐native languages in orthographic transparency, a key factor that affects the cognitive and neural mechanisms of phonological access, modulates the cross‐language similarity in neural activation and which brain regions show the modulatory effects of language distance in orthographic transparency. To address these questions, the present study used representational similarity analysis (RSA) to precisely estimate the neural pattern similarity between native language and two non‐native languages in Uyghur‐Chinese‐English trilinguals, whose third language (i.e., English) was more similar to the native language (i.e., Uyghur) in orthography than to their second language (i.e., Chinese). Behavioral results revealed that subjects responded faster to words in the non‐native language with more similar orthography to their native language in the word naming task. More importantly, RSA revealed greater neural pattern similarity between Uyghur and English than between Uyghur and Chinese in select brain areas for phonological processing, especially in the left hemisphere. Further analysis confirmed that those brain regions represented phonological information. These results provide direct neuroimaging evidence for the modulatory effect of language distance in orthographic transparency on cross‐language pattern similarity between native and non‐native languages during word reading.

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Section: Introductionmentioning

confidence: 99%

Language distance in orthographic transparency affects cross‐language pattern similarity between native and non‐native languages

Dong

Chen

et al. 2020

Human Brain Mapping

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Language Brain Representation in Bilinguals With Different Age of Appropriation and Proficiency of the Second Language: A Meta-Analysis of Functional Imaging Studies

Cargnelutti

Tomasino

Fabbro

2019

Front. Hum. Neurosci.

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Language representation in the bilingual brain is the result of many factors, of which age of appropriation (AoA) and proficiency of the second language (L2) are probably the most studied. Many studies indeed compare early and late bilinguals, although it is not yet clear what the role of the so-called critical period in L2 appropriation is. In this study, we carried out coordinate-based meta-analyses to address this issue and to inspect the role of proficiency in addition to that of AoA. After the preliminary inspection of the early (also very early) and late bilinguals’ language networks, we explored the specific activations associated with each language and compared them within and between the groups. Results confirmed that the L2 language brain representation was wider than that associated with L1. This was observed regardless of AoA, although differences were more relevant in the late bilinguals’ group. In particular, L2 entailed a greater enrollment of the brain areas devoted to the executive functions, and this was also observed in proficient bilinguals. The early bilinguals displayed many activation clusters as well, which also included the areas involved in cognitive control. Interestingly, these regions activated even in L1 of both early and late bilingual groups, although less consistently. Overall, these findings suggest that bilinguals in general are constantly subjected to cognitive effort to monitor and regulate the language use, although early AoA and high proficiency are likely to reduce this.

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Distinct activated cortical areas and volumes in Uygur-Chinese bilinguals

Cited by 2 publications

References 21 publications

Language distance in orthographic transparency affects cross‐language pattern similarity between native and non‐native languages

Language distance in orthographic transparency affects cross‐language pattern similarity between native and non‐native languages

Language Brain Representation in Bilinguals With Different Age of Appropriation and Proficiency of the Second Language: A Meta-Analysis of Functional Imaging Studies

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