ArticleFrontiers in neuroscience2020
Using a Data-Driven Approach to Estimate Second-Language Proficiency From Brain Activation: A Functional Near-Infrared Spectroscopy Study.
Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Functional near-infrared spectroscopy (fNIRS) in medical research: applications, opportunities, and challenges.Chinese medicine · 2026Review
- fNIRS evidence for enhanced brain activity during task-based Arabic learning in virtual reality.Neuroimage. Reports · 2026Article
- From brain to education through machine learning: Predicting literacy and numeracy skills from neuroimaging data.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Prediction of Second Language Proficiency Based on Electroencephalographic Signals Measured While Listening to Natural Speech.Frontiers in human neuroscience · 2021Article
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4 authors.
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Abstract
While non-invasive brain imaging has made substantial contributions to advance human brain science, estimation of individual state is becoming important to realize its applications in society. Brain activations were used to classify second-language proficiencies. Participants in functional near-infrared spectroscopy (fNIRS) experiment were 20/20 native Japanese speakers with high/low English abilities and 19/19 native English speakers with high/low Japanese abilities. Their cortical activities were measured by functional near-infrared spectroscopy while they were conducting Japanese/English listening comprehension tests. The data-driven method achieved classification accuracy of 77.5% in the case of Japanese speakers and 81.9% in the case of English speakers. The informative features predominantly originated from regions associated with language function. These results bring an insight of fNIRS neuroscience and its applications in society.
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