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Functional Network Dynamics of the Language System
During linguistic processing, a set of brain regions on the lateral surfaces of the left frontal, temporal, and parietal cortices exhibit robust responses. These areas display highly correlated activity while a subject rests or performs a naturalistic language comprehension task, suggesting that the...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5066829/ https://www.ncbi.nlm.nih.gov/pubmed/27550868 http://dx.doi.org/10.1093/cercor/bhw238 |
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author | Chai, Lucy R. Mattar, Marcelo G. Blank, Idan Asher Fedorenko, Evelina Bassett, Danielle S. |
author_facet | Chai, Lucy R. Mattar, Marcelo G. Blank, Idan Asher Fedorenko, Evelina Bassett, Danielle S. |
author_sort | Chai, Lucy R. |
collection | PubMed |
description | During linguistic processing, a set of brain regions on the lateral surfaces of the left frontal, temporal, and parietal cortices exhibit robust responses. These areas display highly correlated activity while a subject rests or performs a naturalistic language comprehension task, suggesting that they form an integrated functional system. Evidence suggests that this system is spatially and functionally distinct from other systems that support high-level cognition in humans. Yet, how different regions within this system might be recruited dynamically during task performance is not well understood. Here we use network methods, applied to fMRI data collected from 22 human subjects performing a language comprehension task, to reveal the dynamic nature of the language system. We observe the presence of a stable core of brain regions, predominantly located in the left hemisphere, that consistently coactivate with one another. We also observe the presence of a more flexible periphery of brain regions, predominantly located in the right hemisphere, that coactivate with different regions at different times. However, the language functional ROIs in the angular gyrus and the anterior temporal lobe were notable exceptions to this trend. By highlighting the temporal dimension of language processing, these results suggest a trade-off between a region's specialization and its capacity for flexible network reconfiguration. |
format | Online Article Text |
id | pubmed-5066829 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-50668292016-10-18 Functional Network Dynamics of the Language System Chai, Lucy R. Mattar, Marcelo G. Blank, Idan Asher Fedorenko, Evelina Bassett, Danielle S. Cereb Cortex Original Articles During linguistic processing, a set of brain regions on the lateral surfaces of the left frontal, temporal, and parietal cortices exhibit robust responses. These areas display highly correlated activity while a subject rests or performs a naturalistic language comprehension task, suggesting that they form an integrated functional system. Evidence suggests that this system is spatially and functionally distinct from other systems that support high-level cognition in humans. Yet, how different regions within this system might be recruited dynamically during task performance is not well understood. Here we use network methods, applied to fMRI data collected from 22 human subjects performing a language comprehension task, to reveal the dynamic nature of the language system. We observe the presence of a stable core of brain regions, predominantly located in the left hemisphere, that consistently coactivate with one another. We also observe the presence of a more flexible periphery of brain regions, predominantly located in the right hemisphere, that coactivate with different regions at different times. However, the language functional ROIs in the angular gyrus and the anterior temporal lobe were notable exceptions to this trend. By highlighting the temporal dimension of language processing, these results suggest a trade-off between a region's specialization and its capacity for flexible network reconfiguration. Oxford University Press 2016-10 2016-10-17 /pmc/articles/PMC5066829/ /pubmed/27550868 http://dx.doi.org/10.1093/cercor/bhw238 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com. |
spellingShingle | Original Articles Chai, Lucy R. Mattar, Marcelo G. Blank, Idan Asher Fedorenko, Evelina Bassett, Danielle S. Functional Network Dynamics of the Language System |
title | Functional Network Dynamics of the Language System |
title_full | Functional Network Dynamics of the Language System |
title_fullStr | Functional Network Dynamics of the Language System |
title_full_unstemmed | Functional Network Dynamics of the Language System |
title_short | Functional Network Dynamics of the Language System |
title_sort | functional network dynamics of the language system |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5066829/ https://www.ncbi.nlm.nih.gov/pubmed/27550868 http://dx.doi.org/10.1093/cercor/bhw238 |
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