Foreign speech sound discrimination and associative word learning lead to a fast reconfiguration of resting-state networks
| Autor: | Elmer, Stefan, Besson, Mireille, Rodriguez-Fornells, Antoni, Giroud, Nathalie |
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| Přispěvatelé: | University of Zurich, Elmer, Stefan |
| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: |
2805 Cognitive Neuroscience
LMZ Competence Centre Language and Medicine Zurich Auditory perception Cognitive Neuroscience Source estimation 410 Linguistics 000 Computer science knowledge & systems Resting-state Functional connectivity Neurology EEG Word discrimination Word learning Phonological memory 10105 Institute of Computational Linguistics 2808 Neurology |
| Zdroj: | NeuroImage, 271 |
| ISSN: | 1053-8119 1095-9572 |
| Popis: | Learning new words in an unfamiliar language is a complex endeavor that requires the orchestration of multi-ple perceptual and cognitive functions. Although the neural mechanisms governing word learning are becoming better understood, little is known about the predictive value of resting-state (RS) metrics for foreign word discrim-ination and word learning attainment. In addition, it is still unknown which of the multistep processes involved in word learning have the potential to rapidly reconfigure RS networks. To address these research questions, we used electroencephalography (EEG), measured forty participants, and examined scalp-based power spectra, source-based spectral density maps and functional connectivity metrics before (RS1), in between (RS2) and after (RS3) a series of tasks which are known to facilitate the acquisition of new words in a foreign language, namely word discrimination, word-referent mapping and semantic generalization. Power spectra at the scalp level con-sistently revealed a reconfiguration of RS networks as a function of foreign word discrimination (RS1 vs. RS2) and word learning (RS1 vs. RS3) tasks in the delta, lower and upper alpha, and upper beta frequency ranges. Otherwise, functional reconfigurations at the source level were restricted to the theta (spectral density maps) and to the lower and upper alpha frequency bands (spectral density maps and functional connectivity). Notably, scalp RS changes related to the word discrimination tasks (difference between RS2 and RS1) correlated with word dis-crimination abilities (upper alpha band) and semantic generalization performance (theta and upper alpha bands), whereas functional changes related to the word learning tasks (difference between RS3 and RS1) correlated with word discrimination scores (lower alpha band). Taken together, these results highlight that foreign speech sound discrimination and word learning have the potential to rapidly reconfigure RS networks at multiple functional scales. NeuroImage, 271 ISSN:1053-8119 ISSN:1095-9572 |
| Databáze: | OpenAIRE |
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