dc.contributor.author | Amoruso, Lucia | |
dc.contributor.author | García, Adolfo M. | |
dc.contributor.author | Pusil, Sandra | |
dc.contributor.author | Timofeeva, Polina | |
dc.contributor.author | Quiñones, Ileana | |
dc.contributor.author | Carreiras, Manuel | |
dc.date.accessioned | 2024-05-17T10:52:11Z | |
dc.date.available | 2024-05-17T10:52:11Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | Amoruso, L., García, A. M., Pusil, S., Timofeeva, P., Quiñones, I., & Carreiras, M. (2024). Decoding bilingualism from resting-state oscillatory network organization. Ann NY Acad Sci., 1534, 106–117. https://doi.org/10.1111/nyas.15113 | es_ES |
dc.identifier.citation | Annals of the New York Academy of Sciences | |
dc.identifier.issn | 0077-8923 | |
dc.identifier.uri | http://hdl.handle.net/10810/68013 | |
dc.description | Published on 28 February 2024 | es_ES |
dc.description.abstract | 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. The key drivers of classification were network strength in beta (15–30 Hz) and delta (2–4 Hz) rhythms. Further characterization of these networks revealed the involvement of temporal, cingulate, and fronto-parietal hubs likely underpinning the language and default-mode networks (DMNs). Complementary evidence from a correlation analysis showed that the top-ranked features that better discriminated individuals during rest also explained interindividual variability in second language (L2) proficiency within bilinguals, further supporting the robustness of the machine learning model in capturing trait-like markers of bilingualism. Overall, our results show that long-term experience with an L2 can be “brain-read” at a fine-grained level from resting-state oscillatory network organization, highlighting its pervasive impact, particularly within language and DMN networks. | es_ES |
dc.description.sponsorship | This project received funding from the European Union's Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 101025814. This research was supported by the Basque Government through the BERC 2022–2025 program and by the Spanish State Research Agency through BCBL Severo Ochoa excellence accreditation CEX2020-001010-S, by the Ikerbasque Foundation and by the Plan Nacional RTI2018-096216-A-I00 (MEGLIOMA) to L.A. and RTI2018-093547-B-I00 (LangConn) to M.C. and I.Q., both funded by the Spanish Ministry of Science and Innovation. A.G. is an Atlantic Fellow at the Global Brain Health Institute (GBHI) and is supported with funding from GBHI, Alzheimer's Association, and Alzheimer's Society (Alzheimer's Association GBHI ALZ UK-22-865742); ANID, FONDECYT Regular (1210176); DICYT-USACH (032351MA); and Programa Interdisciplinario de Investigación Experimental en Comunicación y Cognición (PIIECC), Facultad de Humanidades, USACH. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | WILEY | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/MSCA/101025814 | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/CEX2020-001010-S | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/RTI2018-096216-A-I00 | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/RTI2018-093547-B-I00 | es_ES |
dc.relation | info:eu-repo/grantAgreement/GV/BERC2022–2025 | |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.subject | bilingualism | es_ES |
dc.subject | graph theory | es_ES |
dc.subject | machine learning | es_ES |
dc.subject | oscillations | es_ES |
dc.subject | resting-state networks | es_ES |
dc.title | Decoding bilingualism from resting-state oscillatory network organization | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | © 2024 The Authors. Annals of the New York Academy of Sciences published by Wiley Periodicals LLC on behalf of The New York Academy of Sciences. | es_ES |
dc.relation.publisherversion | https://nyaspubs.onlinelibrary.wiley.com/ | es_ES |
dc.identifier.doi | 10.1111/nyas.15113 | |