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...
Main Authors: | , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2020-05-01
|
Series: | Frontiers in Physiology |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fphys.2020.00422/full |
id |
doaj-f5013a8a04ad486ea79f3ddd7564d373 |
---|---|
record_format |
Article |
spelling |
doaj-f5013a8a04ad486ea79f3ddd7564d3732020-11-25T03:10:03ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2020-05-011110.3389/fphys.2020.00422499050Brain Network Modularity During a Sustained Working-Memory TaskMarta Moraschi0Marta Moraschi1Daniele Mascali2Daniele Mascali3Silvia Tommasin4Tommaso Gili5Tommaso Gili6Ibrahim Eid Hassan7Ibrahim Eid Hassan8Michela Fratini9Michela Fratini10Mauro DiNuzzo11Richard G. Wise12Richard G. Wise13Silvia Mangia14Emiliano Macaluso15Federico Giove16Federico Giove17Centro Fermi–Museo Storico della Fisica e Centro di Studi e Ricerche Enrico Fermi, Rome, ItalyFondazione Santa Lucia IRCCS, Rome, ItalyCentro Fermi–Museo Storico della Fisica e Centro di Studi e Ricerche Enrico Fermi, Rome, ItalyFondazione Santa Lucia IRCCS, Rome, ItalyDipartimento di Neuroscienze Umane, Sapienza Univeristà di Roma, Rome, ItalyCentro Fermi–Museo Storico della Fisica e Centro di Studi e Ricerche Enrico Fermi, Rome, ItalyFondazione Santa Lucia IRCCS, Rome, ItalyDipartimento di Fisica, Sapienza Università di Roma, Rome, ItalyDepartment of Physics, Helwan University, Cairo, EgyptFondazione Santa Lucia IRCCS, Rome, ItalyIstituto di Nanotecnologia, Consiglio Nazionale delle Ricerche, Rome, ItalyIndependent Researcher, Rome, ItalyInstitute for Advanced Biomedical Technologies, University of Chieti, Chieti, ItalyCardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, United Kingdom0Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, United States1ImpAct Team, Lyon Neuroscience Research Center, Université de Lyon, Lyon, FranceCentro Fermi–Museo Storico della Fisica e Centro di Studi e Ricerche Enrico Fermi, Rome, ItalyFondazione Santa Lucia IRCCS, Rome, ItalySpontaneous 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.https://www.frontiersin.org/article/10.3389/fphys.2020.00422/fullfunctional connectivitymodularitytopologyworking memoryconnectivity dynamicsbrain segregation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Marta Moraschi Marta Moraschi Daniele Mascali Daniele Mascali Silvia Tommasin Tommaso Gili Tommaso Gili Ibrahim Eid Hassan Ibrahim Eid Hassan Michela Fratini Michela Fratini Mauro DiNuzzo Richard G. Wise Richard G. Wise Silvia Mangia Emiliano Macaluso Federico Giove Federico Giove |
spellingShingle |
Marta Moraschi Marta Moraschi Daniele Mascali Daniele Mascali Silvia Tommasin Tommaso Gili Tommaso Gili Ibrahim Eid Hassan Ibrahim Eid Hassan Michela Fratini Michela Fratini Mauro DiNuzzo Richard G. Wise Richard G. Wise Silvia Mangia Emiliano Macaluso Federico Giove Federico Giove Brain Network Modularity During a Sustained Working-Memory Task Frontiers in Physiology functional connectivity modularity topology working memory connectivity dynamics brain segregation |
author_facet |
Marta Moraschi Marta Moraschi Daniele Mascali Daniele Mascali Silvia Tommasin Tommaso Gili Tommaso Gili Ibrahim Eid Hassan Ibrahim Eid Hassan Michela Fratini Michela Fratini Mauro DiNuzzo Richard G. Wise Richard G. Wise Silvia Mangia Emiliano Macaluso Federico Giove Federico Giove |
author_sort |
Marta Moraschi |
title |
Brain Network Modularity During a Sustained Working-Memory Task |
title_short |
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_sort |
brain network modularity during a sustained working-memory task |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Physiology |
issn |
1664-042X |
publishDate |
2020-05-01 |
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. |
topic |
functional connectivity modularity topology working memory connectivity dynamics brain segregation |
url |
https://www.frontiersin.org/article/10.3389/fphys.2020.00422/full |
work_keys_str_mv |
AT martamoraschi brainnetworkmodularityduringasustainedworkingmemorytask AT martamoraschi brainnetworkmodularityduringasustainedworkingmemorytask AT danielemascali brainnetworkmodularityduringasustainedworkingmemorytask AT danielemascali brainnetworkmodularityduringasustainedworkingmemorytask AT silviatommasin brainnetworkmodularityduringasustainedworkingmemorytask AT tommasogili brainnetworkmodularityduringasustainedworkingmemorytask AT tommasogili brainnetworkmodularityduringasustainedworkingmemorytask AT ibrahimeidhassan brainnetworkmodularityduringasustainedworkingmemorytask AT ibrahimeidhassan brainnetworkmodularityduringasustainedworkingmemorytask AT michelafratini brainnetworkmodularityduringasustainedworkingmemorytask AT michelafratini brainnetworkmodularityduringasustainedworkingmemorytask AT maurodinuzzo brainnetworkmodularityduringasustainedworkingmemorytask AT richardgwise brainnetworkmodularityduringasustainedworkingmemorytask AT richardgwise brainnetworkmodularityduringasustainedworkingmemorytask AT silviamangia brainnetworkmodularityduringasustainedworkingmemorytask AT emilianomacaluso brainnetworkmodularityduringasustainedworkingmemorytask AT federicogiove brainnetworkmodularityduringasustainedworkingmemorytask AT federicogiove brainnetworkmodularityduringasustainedworkingmemorytask |
_version_ |
1724660875409752064 |