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A new computational approach to estimate whole-brain effective connectivity from functional and structural MRI, applied to language development

Recently introduced effective connectivity methods allow for the in-vivo investigation of large-scale functional interactions between brain regions. However, dynamic causal modeling, the most widely used technique to date, typically captures only a few predefined regions of interest. In this study,...

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Autores principales: Hahn, Gerald, Skeide, Michael A., Mantini, Dante, Ganzetti, Marco, Destexhe, Alain, Friederici, Angela D., Deco, Gustavo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6559954/
https://www.ncbi.nlm.nih.gov/pubmed/31186486
http://dx.doi.org/10.1038/s41598-019-44909-6
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author Hahn, Gerald
Skeide, Michael A.
Mantini, Dante
Ganzetti, Marco
Destexhe, Alain
Friederici, Angela D.
Deco, Gustavo
author_facet Hahn, Gerald
Skeide, Michael A.
Mantini, Dante
Ganzetti, Marco
Destexhe, Alain
Friederici, Angela D.
Deco, Gustavo
author_sort Hahn, Gerald
collection PubMed
description Recently introduced effective connectivity methods allow for the in-vivo investigation of large-scale functional interactions between brain regions. However, dynamic causal modeling, the most widely used technique to date, typically captures only a few predefined regions of interest. In this study, we present an alternative computational approach to infer effective connectivity within the entire connectome and show its performance on a developmental cohort with emerging language capacities. The novel approach provides new opportunities to quantify effective connectivity changes in the human brain.
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spelling pubmed-65599542019-06-19 A new computational approach to estimate whole-brain effective connectivity from functional and structural MRI, applied to language development Hahn, Gerald Skeide, Michael A. Mantini, Dante Ganzetti, Marco Destexhe, Alain Friederici, Angela D. Deco, Gustavo Sci Rep Article Recently introduced effective connectivity methods allow for the in-vivo investigation of large-scale functional interactions between brain regions. However, dynamic causal modeling, the most widely used technique to date, typically captures only a few predefined regions of interest. In this study, we present an alternative computational approach to infer effective connectivity within the entire connectome and show its performance on a developmental cohort with emerging language capacities. The novel approach provides new opportunities to quantify effective connectivity changes in the human brain. Nature Publishing Group UK 2019-06-11 /pmc/articles/PMC6559954/ /pubmed/31186486 http://dx.doi.org/10.1038/s41598-019-44909-6 Text en © The Author(s) 2019 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/.
spellingShingle Article
Hahn, Gerald
Skeide, Michael A.
Mantini, Dante
Ganzetti, Marco
Destexhe, Alain
Friederici, Angela D.
Deco, Gustavo
A new computational approach to estimate whole-brain effective connectivity from functional and structural MRI, applied to language development
title A new computational approach to estimate whole-brain effective connectivity from functional and structural MRI, applied to language development
title_full A new computational approach to estimate whole-brain effective connectivity from functional and structural MRI, applied to language development
title_fullStr A new computational approach to estimate whole-brain effective connectivity from functional and structural MRI, applied to language development
title_full_unstemmed A new computational approach to estimate whole-brain effective connectivity from functional and structural MRI, applied to language development
title_short A new computational approach to estimate whole-brain effective connectivity from functional and structural MRI, applied to language development
title_sort new computational approach to estimate whole-brain effective connectivity from functional and structural mri, applied to language development
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6559954/
https://www.ncbi.nlm.nih.gov/pubmed/31186486
http://dx.doi.org/10.1038/s41598-019-44909-6
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