Evidence map›Paper›PMID 42367745›Full record

ArticleNeurobiology of language (Cambridge, Mass.)2026

Lexical Representations of the Native and Second Languages During L2 Word Reading in Chinese-English Bilinguals.

Xiaoyu Liu, Lala Gu, Xiaoxue Feng, Yuan Feng, Xingying Lin, Nannan Gu, Leilei Mei

Abstract read
In one paragraph

Article in Neurobiology of language (Cambridge, Mass.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xiaoyu LiuPhilosophy and Social Science Laboratory of Reading and Development in Children and Adolescents, South China Normal University; Ministry of Education, Guangzhou, China.
Lala GuPhilosophy and Social Science Laboratory of Reading and Development in Children and Adolescents, South China Normal University; Ministry of Education, Guangzhou, China.ORCID https://orcid.org/0009-0002-9650-2904
Xiaoxue FengPhilosophy and Social Science Laboratory of Reading and Development in Children and Adolescents, South China Normal University; Ministry of Education, Guangzhou, China.
Yuan FengPhilosophy and Social Science Laboratory of Reading and Development in Children and Adolescents, South China Normal University; Ministry of Education, Guangzhou, China.
Xingying LinPhilosophy and Social Science Laboratory of Reading and Development in Children and Adolescents, South China Normal University; Ministry of Education, Guangzhou, China.
Nannan GuPhilosophy and Social Science Laboratory of Reading and Development in Children and Adolescents, South China Normal University; Ministry of Education, Guangzhou, China.
Leilei MeiPhilosophy and Social Science Laboratory of Reading and Development in Children and Adolescents, South China Normal University; Ministry of Education, Guangzhou, China.ORCID https://orcid.org/0000-0002-7443-1490

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The non-selective processing hypothesis for bilinguals posits that during the processing of the target language, the lexical information of the non-target language is concurrently activated. Nonetheless, the lexical representation of bilinguals in both languages and the temporal dynamics of lexical information representation remain unclear. Here, we utilized fMRI in Experiment 1 and EEG in Experiment 2, combined with representational similarity analysis (RSA), to explore the neural representation of lexical access in both the target and non-target languages during L2 word reading and the modulatory effects of processing demands. Results of two Experiments jointly revealed that the lexical information of L2 was represented widely and earlier during L2 lexical processing, whereas the lexical information of L1 was represented widely and earlier during L2 semantic processing. These findings provide spatiotemporally integrated evidence for the bilingual non-selective access hypothesis, indicating that non-selective processing occurs only under conditions of high semantic processing demands.

Indexed as

bilingualismEEGfMRIlexical accessrepresentational similarity analysis

Identifiers

PMID42367745
PMCPMC13293728

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.