Oscillatory features of German–English sentence processing: Evidence from an EEG study
Aims and objectives: In this study, we investigated the neural oscillatory patterns occurring during sentence-level overt bilingual processing tasks on 46 German–English bilinguals with the intention of finding out if there were task-specific oscillations for this language pair. Methodology: Four tasks, including Language 2 (L2) listening, Language 1 (L1) speaking, L2 shadowing (i.e., repeating a segment of an utterance), and backward interpreting (i.e., orally translating L2 sentences to L1), were implemented with the technique of electroencephalography (EEG). Data and analysis: Data included demographic indices, neural oscillation metrics, and oral production scores from participants. Static spectral analysis, time–frequency analysis, principal components analysis, cross-frequency coupling, and inferential statistics were applied to the data. Findings: The sensory task and articulatory tasks differed greatly in the delta–theta band and the beta–gamma band in terms of time–frequency dynamics. Analyses also revealed variations in a frontal/prefrontal theta component and a distinct gamma component across the four tasks. Moreover, we found a right fronto-temporal theta–gamma coupling unique to backward interpreting. Originality: The task-wise comparison experiment paradigm has rarely been implemented in neuroimaging research on language, especially so in EEG research on bilingualism. Significance: The findings provide novel insights for the understanding of language conversion mechanism and may benefit the training of professional interpreters.
Authors
- Ian J. Kirk (ORCID: https://orcid.org/0000-0002-0444-6718)
- Karen E. Waldie (ORCID: https://orcid.org/0000-0001-7909-0464)
- Yuxuan Zheng (ORCID: https://orcid.org/0000-0001-5096-8915)
Institutions
- University of Auckland (NZ)
- Beijing International Studies University (CN)
Publication Details
- Journal
- International Journal of Bilingualism
- Published
- 2024-10-06
- DOI
- https://doi.org/10.1177/13670069241285332
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00