“Neural dynamics supporting longitudinal plasticity of action naming across languages: MEG evidence from bilingual brain tumor patients”

Geng, Shuang; Quiñones, Ileana; Robles, Santiago Gil; Pomposo, Iñigo; Bermúdez, Garazi; Timofeeva, Polina; Molinaro, Nicola; Carreiras, Manuel; Amoruso, Lucía

doi:10.1016/j.neuropsychologia.2023.108494

Cited by 4 publications

(2 citation statements)

References 62 publications

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“…[68][69][70] Moreover, there is evidence indicating that beta rhythms support the reallocation of linguistic functions in bilingual patients with brain damage. 71 Thus, this finding suggests that bilingual experience impacts the topological organization of brain networks dedicated to language-specific functions.…”

Section: Discussionmentioning

confidence: 82%

“…These nodes include the middle and superior temporal gyrus, the temporal pole, and the parahippocampal gyrus, which have been widely implicated in lexico‐semantic processes, including lexical access and the retrieval of conceptual knowledge from long‐term memory 68–70 . Moreover, there is evidence indicating that beta rhythms support the reallocation of linguistic functions in bilingual patients with brain damage 71 . Thus, this finding suggests that bilingual experience impacts the topological organization of brain networks dedicated to language‐specific functions.…”

Section: Discussionmentioning

confidence: 99%

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Decoding bilingualism from resting‐state oscillatory network organization

Amoruso,

García,

Pusil

et al. 2024

Annals of the New York Academy of Sciences

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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.

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Section: Discussionmentioning

confidence: 82%

Section: Discussionmentioning

confidence: 99%

Decoding bilingualism from resting‐state oscillatory network organization

Amoruso,

García,

Pusil

et al. 2024

Annals of the New York Academy of Sciences

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Unveiling the neuroplastic capacity of the bilingual brain: insights from healthy and pathological individuals

Quiñones,

Gisbert-Muñoz,

Amoruso

et al. 2024

Brain Struct Funct

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Research on the neural imprint of dual-language experience, crucial for understanding how the brain processes dominant and non-dominant languages, remains inconclusive. Conflicting evidence suggests either similarity or distinction in neural processing, with implications for bilingual patients with brain tumors. Preserving dual-language functions after surgery requires considering pre-diagnosis neuroplastic changes. Here, we combine univariate and multivariate fMRI methodologies to test a group of healthy Spanish-Basque bilinguals and a group of bilingual patients with gliomas affecting the language-dominant hemisphere while they overtly produced sentences in either their dominant or non-dominant language. Findings from healthy participants revealed the presence of a shared neural system for both languages, while also identifying regions with distinct language-dependent activation and lateralization patterns. Specifically, while the dominant language engaged a more left-lateralized network, speech production in the non-dominant language relied on the recruitment of a bilateral basal ganglia-thalamo-cortical circuit. Notably, based on language lateralization patterns, we were able to robustly decode (AUC: 0.80 ± 0.18) the language being used. Conversely, bilingual patients exhibited bilateral activation patterns for both languages. For the dominant language, regions such as the cerebellum, thalamus, and caudate acted in concert with the sparsely activated language-specific nodes. In the case of the non-dominant language, the recruitment of the default mode network was notably prominent. These results demonstrate the compensatory engagement of non-language-specific networks in the preservation of bilingual speech production, even in the face of pathological conditions. Overall, our findings underscore the pervasive impact of dual-language experience on brain functional (re)organization, both in health and disease.

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Precise Identification and Segmentation of Brain Tumour in MR Brain Images Using Salp Swarm Optimized K-Means Clustering Technique

Muthuvel

Thiyagarajan

et al. 2023

2023 2nd International Conference on Edge Computing and Applications (ICECAA)

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“Neural dynamics supporting longitudinal plasticity of action naming across languages: MEG evidence from bilingual brain tumor patients”

Cited by 4 publications

References 62 publications

Decoding bilingualism from resting‐state oscillatory network organization

Decoding bilingualism from resting‐state oscillatory network organization

Unveiling the neuroplastic capacity of the bilingual brain: insights from healthy and pathological individuals

Precise Identification and Segmentation of Brain Tumour in MR Brain Images Using Salp Swarm Optimized K-Means Clustering Technique

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