Multivariate Decoding and Drift-Diffusion Modeling Reveal Adaptive Control in Trilingual Comprehension
Year: 2025
Type: article
Abstract: BACKGROUND/OBJECTIVES: The Adaptive Control Hypothesis posits varying control demands across language contexts in production, but its role in comprehension is underexplored. We investigated if trilinguals, who manage three dual-language contexts (L1-L2, L2-L3, L1-L3), exhibit differential proactive and reactive control demands during comprehension across these contexts. METHODS: Thirty-six Uyghur-Chinese-English trilinguals completed an auditory word-picture matching task across three dual-language contexts during EEG recording. We employed behavioral analysis, drift-diffusion modeling, event-related potential (ERP) analysis, and multivariate pattern analysis (MVPA) to examine comprehension efficiency, evidence accumulation, and neural mechanisms. The design crossed context (L1-L2, L2-L3, L1-L3) with trial type (switch vs. repetition) and switching direction (to dominant vs. non-dominant language). RESULTS: Despite comparable behavioral performance, drift-diffusion modeling revealed distinct processing profiles across contexts, with the L1-L2 context showing the lowest comprehension efficiency due to slower evidence accumulation. In the L1-L3 context, comprehension-specific proactive control was indexed by a larger P300 and smaller N400 for L1-to-L3 switches. Notably, no reactive control (switch costs) was observed across any dual-language context. MVPA successfully classified contexts and switching directions, revealing distinct spatiotemporal neural patterns. CONCLUSIONS: Trilingual comprehension switching mechanisms differ from production. Reactive control is not essential, while proactive control is context-dependent, emerging only in the high-conflict L1-L3 context. This proactive strategy involves allocating more bottom-up attention to the weaker L3, which, unlike in production, enhances rather than hinders overall efficiency.
Source: Brain Sciences
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,654
Awards: G3095437754, G7683207712
OpenAlex ID: W4414545215
