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Virtual lesions in MEG reveal increasing vulnerability of the language network from early childhood through adolescence

In childhood, language outcomes following brain injury are inversely related to age. Neuroimaging findings suggest that extensive representation and/or topological redundancy may confer the pediatric advantage. Here, we assess whole brain and language network resilience using in silico attacks, for...

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Autores principales: Williamson, Brady J., Greiner, Hansel M., Kadis, Darren S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10640569/
https://www.ncbi.nlm.nih.gov/pubmed/37951971
http://dx.doi.org/10.1038/s41467-023-43165-7
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author Williamson, Brady J.
Greiner, Hansel M.
Kadis, Darren S.
author_facet Williamson, Brady J.
Greiner, Hansel M.
Kadis, Darren S.
author_sort Williamson, Brady J.
collection PubMed
description In childhood, language outcomes following brain injury are inversely related to age. Neuroimaging findings suggest that extensive representation and/or topological redundancy may confer the pediatric advantage. Here, we assess whole brain and language network resilience using in silico attacks, for 85 children participating in a magnetoencephalography (MEG) study. Nodes are targeted based on eigenvector centrality, betweenness centrality, or at random. The size of each connected component is assessed after iterated node removal; the percolation point, or moment of dis-integration, is defined as the first instance where the second largest component peaks in size. To overcome known effects of fixed thresholding on subsequent graph and resilience analyses, we study percolation across all possible network densities, within a Functional Data Analysis (FDA) framework. We observe age-related increases in vulnerability for random and betweenness centrality-based attacks for whole-brain and stories networks (adjusted-p < 0.05). Here we show that changes in topology underlie increasing language network vulnerability in development.
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spelling pubmed-106405692023-11-11 Virtual lesions in MEG reveal increasing vulnerability of the language network from early childhood through adolescence Williamson, Brady J. Greiner, Hansel M. Kadis, Darren S. Nat Commun Article In childhood, language outcomes following brain injury are inversely related to age. Neuroimaging findings suggest that extensive representation and/or topological redundancy may confer the pediatric advantage. Here, we assess whole brain and language network resilience using in silico attacks, for 85 children participating in a magnetoencephalography (MEG) study. Nodes are targeted based on eigenvector centrality, betweenness centrality, or at random. The size of each connected component is assessed after iterated node removal; the percolation point, or moment of dis-integration, is defined as the first instance where the second largest component peaks in size. To overcome known effects of fixed thresholding on subsequent graph and resilience analyses, we study percolation across all possible network densities, within a Functional Data Analysis (FDA) framework. We observe age-related increases in vulnerability for random and betweenness centrality-based attacks for whole-brain and stories networks (adjusted-p < 0.05). Here we show that changes in topology underlie increasing language network vulnerability in development. Nature Publishing Group UK 2023-11-11 /pmc/articles/PMC10640569/ /pubmed/37951971 http://dx.doi.org/10.1038/s41467-023-43165-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Williamson, Brady J.
Greiner, Hansel M.
Kadis, Darren S.
Virtual lesions in MEG reveal increasing vulnerability of the language network from early childhood through adolescence
title Virtual lesions in MEG reveal increasing vulnerability of the language network from early childhood through adolescence
title_full Virtual lesions in MEG reveal increasing vulnerability of the language network from early childhood through adolescence
title_fullStr Virtual lesions in MEG reveal increasing vulnerability of the language network from early childhood through adolescence
title_full_unstemmed Virtual lesions in MEG reveal increasing vulnerability of the language network from early childhood through adolescence
title_short Virtual lesions in MEG reveal increasing vulnerability of the language network from early childhood through adolescence
title_sort virtual lesions in meg reveal increasing vulnerability of the language network from early childhood through adolescence
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10640569/
https://www.ncbi.nlm.nih.gov/pubmed/37951971
http://dx.doi.org/10.1038/s41467-023-43165-7
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