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Neural signatures of second language proficiency in narrative processing
Ruiqing Zhang1,2, Jing Wang1,3, Hui Lin2
1Shanghai Key Laboratory of Brain Functional Genomics (Ministry of Education), Affiliated Mental Health Center (ECNU), Institute of Brain and Education Innovation, School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China.
Highly proficient second language learners show native-like brain activity patterns during comprehension. Neural synchronization differences reveal proficiency levels, predicting language test performance.
Area of Science:
- Neuroscience
- Cognitive Science
- Psycholinguistics
Background:
- Second language (L2) speech comprehension involves complex cognitive abilities.
- Differences in brain activity are often linked to processing demands, but may also reflect varying neural representations.
- Neural synchronization during naturalistic listening could offer insights into L2 proficiency.
Purpose of the Study:
- To investigate if intersubject neural synchronization during naturalistic narrative comprehension can measure L2 proficiency.
- To identify brain regions associated with different levels of L2 proficiency.
- To determine if neural synchronization patterns can predict behavioral performance in L2 learners.
Main Methods:
- Utilized a searchlight-shared response model to analyze brain activity during narrative comprehension.
- Compared neural synchronization patterns across participants with low, moderate, and high L2 proficiency.
- Classified proficiency levels and predicted behavioral performance based on identified neural synchronization differences.
Main Results:
- Highly proficient L2 learners exhibited synchronization in brain regions similar to native speakers, including the default mode network and lateral prefrontal cortex.
- Low proficiency learners showed greater synchronization in auditory cortex and temporal lobe semantic processing areas.
- Moderate proficiency was associated with the highest neural diversity, indicating less consistent processing strategies.
Conclusions:
- Higher L2 proficiency correlates with more native-like neural processing of naturalistic language.
- Neural synchronization patterns effectively differentiate L2 proficiency levels and generalize to predict behavioral outcomes.
- Proficiency-sensitive neural systems extend beyond traditional cognitive control and core language networks.
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