Literature DB >> 34845019

Predicting multilingual effects on executive function and individual connectomes in children: An ABCD study.

Young Hye Kwon1,2, Kwangsun Yoo3, Hillary Nguyen2, Yong Jeong4,5,6, Marvin M Chun3.   

Abstract

While there is a substantial amount of work studying multilingualism's effect on cognitive functions, little is known about how the multilingual experience modulates the brain as a whole. In this study, we analyzed data of over 1,000 children from the Adolescent Brain Cognitive Development (ABCD) Study to examine whether monolinguals and multilinguals differ in executive function, functional brain connectivity, and brain-behavior associations. We observed significantly better performance from multilingual children than monolinguals in working-memory tasks. In one finding, we were able to classify multilinguals from monolinguals using only their whole-brain functional connectome at rest and during an emotional n-back task. Compared to monolinguals, the multilingual group had different functional connectivity mainly in the occipital lobe and subcortical areas during the emotional n-back task and in the occipital lobe and prefrontal cortex at rest. In contrast, we did not find any differences in behavioral performance and functional connectivity when performing a stop-signal task. As a second finding, we investigated the degree to which behavior is reflected in the brain by implementing a connectome-based behavior prediction approach. The multilingual group showed a significant correlation between observed and connectome-predicted individual working-memory performance scores, while the monolingual group did not show any correlations. Overall, our observations suggest that multilingualism enhances executive function and reliably modulates the corresponding brain functional connectome, distinguishing multilinguals from monolinguals even at the developmental stage.

Entities:  

Keywords:  children; fMRI; functional connectivity; multilingualism; working memory

Mesh:

Year:  2021        PMID: 34845019      PMCID: PMC8670526          DOI: 10.1073/pnas.2110811118

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   12.779


  76 in total

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Authors:  Sayuri Hayakawa; Viorica Marian
Journal:  Behav Brain Funct       Date:  2019-03-25       Impact factor: 3.759

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Authors:  Eneko Antón; Manuel Carreiras; Jon Andoni Duñabeitia
Journal:  PLoS One       Date:  2019-02-13       Impact factor: 3.240

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Authors:  Dardo Tomasi; Nora D Volkow
Journal:  Hum Brain Mapp       Date:  2020-05-25       Impact factor: 5.038

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