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Decoding bilingualism from resting-state oscillatory network organization

Decoding bilingualism from resting-state oscillatory network organization - https://nyaspubs.onlinelibrary.wiley.com/doi/full/10.1111/nyas.15113

Can lifelong bilingualism be robustly decoded from intrinsic brain connectivity? Can we determine, using a spectrally resolved approach, the oscillatory networks that better predict dual-language experience? We recorded resting-state magnetoencephalographic activity in highly proficient Spanish-Basque bilinguals and Spanish monolinguals, calculated functional connectivity at canonical frequency bands, and derived topological network properties using graph analysis. These features were fed into a machine learning classifier to establish how robustly they discriminated between the groups. The model showed excellent classification (AUC: 0.91 ± 0.12) between individuals in each group.&nbsp;

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Decoding bilingualism from resting-state oscillatory network organization