Potential Association between Modular Structures of Brain Functional Connectivity Networks and Individual Variability in Foreign Language Ability

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 The present study aimed to investigate the association between changes in the mod<br>ular structures of brain functional connectivity networks (BFCNs) and individual vari-<br>ability in foreign language learning ability. Six healthy Japanese students (all male,<br>age range: 16–21 years) completed both pre- and post-training EEG sessions and ex-<br>aminations in English words. BFCNs were constructed for pre- and post-training data.<br> Training sessions required participants to attempt to memorize 200 pairs of the same<br> English words as those in the examinations and their Japanese meanings. The con-<br>nectivity between any two different electrodes (nodes) was calculated by determining<br> the synchronization likelihood (SL) of the EEGs. An edge connecting the two nodes<br> was drawn when statistically significant differences in SL values were observed between<br> successful and unsuccessful trials. BFCNs for the pre-training data were higher in edge<br> density than those for the post-training data, though this difference was not statisti-<br>cally significant. Moreover, changes in the composition of modules of the BFCNs were<br> associated with the individual difference between two English-word examinations in<br> scores.

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  • 認知科学

    認知科学 24 (1), 118-128, 2017

    日本認知科学会

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