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Brain Network Modularity During a Sustained Working-Memory Task

Spontaneous oscillations of the blood oxygenation level-dependent (BOLD) signal are spatially synchronized within specific brain networks and are thought to reflect synchronized brain activity. Networks are modulated by the performance of a task, even if the exact features and degree of such modulat...

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Autores principales: Moraschi, Marta, Mascali, Daniele, Tommasin, Silvia, Gili, Tommaso, Hassan, Ibrahim Eid, Fratini, Michela, DiNuzzo, Mauro, Wise, Richard G., Mangia, Silvia, Macaluso, Emiliano, Giove, Federico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7227445/
https://www.ncbi.nlm.nih.gov/pubmed/32457647
http://dx.doi.org/10.3389/fphys.2020.00422
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author Moraschi, Marta
Mascali, Daniele
Tommasin, Silvia
Gili, Tommaso
Hassan, Ibrahim Eid
Fratini, Michela
DiNuzzo, Mauro
Wise, Richard G.
Mangia, Silvia
Macaluso, Emiliano
Giove, Federico
author_facet Moraschi, Marta
Mascali, Daniele
Tommasin, Silvia
Gili, Tommaso
Hassan, Ibrahim Eid
Fratini, Michela
DiNuzzo, Mauro
Wise, Richard G.
Mangia, Silvia
Macaluso, Emiliano
Giove, Federico
author_sort Moraschi, Marta
collection PubMed
description Spontaneous oscillations of the blood oxygenation level-dependent (BOLD) signal are spatially synchronized within specific brain networks and are thought to reflect synchronized brain activity. Networks are modulated by the performance of a task, even if the exact features and degree of such modulations are still elusive. The presence of networks showing anticorrelated fluctuations lend initially to suppose that a competitive relationship between the default mode network (DMN) and task positive networks (TPNs) supports the efficiency of brain processing. However, more recent results indicate that cooperative and competitive dynamics between networks coexist during task performance. In this study, we used graph analysis to assess the functional relevance of the topological reorganization of brain networks ensuing the execution of a steady state working-memory (WM) task. Our results indicate that the performance of an auditory WM task is associated with a switching between different topological configurations of several regions of specific networks, including frontoparietal, ventral attention, and dorsal attention areas, suggesting segregation of ventral attention regions in the presence of increased overall integration. However, the correct execution of the task requires integration between components belonging to all the involved networks.
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spelling pubmed-72274452020-05-25 Brain Network Modularity During a Sustained Working-Memory Task Moraschi, Marta Mascali, Daniele Tommasin, Silvia Gili, Tommaso Hassan, Ibrahim Eid Fratini, Michela DiNuzzo, Mauro Wise, Richard G. Mangia, Silvia Macaluso, Emiliano Giove, Federico Front Physiol Physiology Spontaneous oscillations of the blood oxygenation level-dependent (BOLD) signal are spatially synchronized within specific brain networks and are thought to reflect synchronized brain activity. Networks are modulated by the performance of a task, even if the exact features and degree of such modulations are still elusive. The presence of networks showing anticorrelated fluctuations lend initially to suppose that a competitive relationship between the default mode network (DMN) and task positive networks (TPNs) supports the efficiency of brain processing. However, more recent results indicate that cooperative and competitive dynamics between networks coexist during task performance. In this study, we used graph analysis to assess the functional relevance of the topological reorganization of brain networks ensuing the execution of a steady state working-memory (WM) task. Our results indicate that the performance of an auditory WM task is associated with a switching between different topological configurations of several regions of specific networks, including frontoparietal, ventral attention, and dorsal attention areas, suggesting segregation of ventral attention regions in the presence of increased overall integration. However, the correct execution of the task requires integration between components belonging to all the involved networks. Frontiers Media S.A. 2020-05-08 /pmc/articles/PMC7227445/ /pubmed/32457647 http://dx.doi.org/10.3389/fphys.2020.00422 Text en Copyright © 2020 Moraschi, Mascali, Tommasin, Gili, Hassan, Fratini, DiNuzzo, Wise, Mangia, Macaluso and Giove. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Moraschi, Marta
Mascali, Daniele
Tommasin, Silvia
Gili, Tommaso
Hassan, Ibrahim Eid
Fratini, Michela
DiNuzzo, Mauro
Wise, Richard G.
Mangia, Silvia
Macaluso, Emiliano
Giove, Federico
Brain Network Modularity During a Sustained Working-Memory Task
title Brain Network Modularity During a Sustained Working-Memory Task
title_full Brain Network Modularity During a Sustained Working-Memory Task
title_fullStr Brain Network Modularity During a Sustained Working-Memory Task
title_full_unstemmed Brain Network Modularity During a Sustained Working-Memory Task
title_short Brain Network Modularity During a Sustained Working-Memory Task
title_sort brain network modularity during a sustained working-memory task
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7227445/
https://www.ncbi.nlm.nih.gov/pubmed/32457647
http://dx.doi.org/10.3389/fphys.2020.00422
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