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Published on: September 5, 2019
Dynamic Language Network in Early and Late Cantonese-Mandarin Bilinguals
Xiaojin Liu1, Liu Tu2, Xiaoxi Chen3
1Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, School of Psychology, South China Normal University, Guangzhou, China.
Early bilinguals exhibit distinct language network dynamics compared to late bilinguals, influenced by age of second language acquisition. This impacts neural activation and network topology.
Area of Science:
- Neuroscience
- Cognitive Science
- Linguistics
Background:
- Second language acquisition significantly shapes bilingual brain organization.
- While age of acquisition (AoA) effects on brain structure are known, dynamic language network properties in early versus late bilinguals remain understudied.
Purpose of the Study:
- To investigate differences in dynamic functional connectivity (dFC) and network topology of the language network between early and late bilinguals.
- To explore how AoA-L2 influences temporal neural activation patterns.
Main Methods:
- Acquired resting-state fMRI data from early and late Cantonese (L1)-Mandarin (L2) bilinguals with high proficiency.
- Analyzed dFC using a sliding-windows approach and k-means clustering to identify distinct network states.
- Calculated dynamic topological properties of the language network.
Main Results:
- Identified four dFC states potentially linked to phonetic, semantic, language control, and syntactic processing.
- Early bilinguals showed increased dFC in specific frontal-temporal and cerebellar regions compared to late bilinguals.
- Early bilinguals demonstrated altered network topology, including higher clustering and efficiency in certain states.
Conclusions:
- AoA-L2 significantly impacts the temporal dynamics and topological organization of the bilingual language network.
- These findings offer novel insights into how L2 learning experience shapes brain function in bilingual individuals.
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