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...

Full description

Bibliographic Details
Main Authors: Marta Moraschi, Daniele Mascali, Silvia Tommasin, Tommaso Gili, Ibrahim Eid Hassan, Michela Fratini, Mauro DiNuzzo, Richard G. Wise, Silvia Mangia, Emiliano Macaluso, Federico Giove
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