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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Published in | Frontiers in physiology Vol. 11; p. 422 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
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Abstract | 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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AbstractList | 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. |
Author | Moraschi, Marta Gili, Tommaso DiNuzzo, Mauro Macaluso, Emiliano Mascali, Daniele Mangia, Silvia Fratini, Michela Tommasin, Silvia Wise, Richard G Giove, Federico Hassan, Ibrahim Eid |
AuthorAffiliation | 4 Dipartimento di Fisica, Sapienza Università di Roma , Rome , Italy 1 Centro Fermi–Museo Storico della Fisica e Centro di Studi e Ricerche Enrico Fermi , Rome , Italy 3 Dipartimento di Neuroscienze Umane, Sapienza Univeristà di Roma , Rome , Italy 8 Institute for Advanced Biomedical Technologies, University of Chieti , Chieti , Italy 9 Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University , Cardiff , United Kingdom 6 Istituto di Nanotecnologia, Consiglio Nazionale delle Ricerche , Rome , Italy 11 ImpAct Team, Lyon Neuroscience Research Center, Université de Lyon , Lyon , France 2 Fondazione Santa Lucia IRCCS , Rome , Italy 7 Independent Researcher , Rome , Italy 10 Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota , Minneapolis, MN , United States 5 Department of Physics, Helwan University , Cairo , Egypt |
AuthorAffiliation_xml | – name: 6 Istituto di Nanotecnologia, Consiglio Nazionale delle Ricerche , Rome , Italy – name: 3 Dipartimento di Neuroscienze Umane, Sapienza Univeristà di Roma , Rome , Italy – name: 4 Dipartimento di Fisica, Sapienza Università di Roma , Rome , Italy – name: 11 ImpAct Team, Lyon Neuroscience Research Center, Université de Lyon , Lyon , France – name: 8 Institute for Advanced Biomedical Technologies, University of Chieti , Chieti , Italy – name: 10 Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota , Minneapolis, MN , United States – name: 5 Department of Physics, Helwan University , Cairo , Egypt – name: 7 Independent Researcher , Rome , Italy – name: 9 Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University , Cardiff , United Kingdom – name: 2 Fondazione Santa Lucia IRCCS , Rome , Italy – name: 1 Centro Fermi–Museo Storico della Fisica e Centro di Studi e Ricerche Enrico Fermi , Rome , Italy |
Author_xml | – sequence: 1 givenname: Marta surname: Moraschi fullname: Moraschi, Marta organization: Fondazione Santa Lucia IRCCS, Rome, Italy – sequence: 2 givenname: Daniele surname: Mascali fullname: Mascali, Daniele organization: Fondazione Santa Lucia IRCCS, Rome, Italy – sequence: 3 givenname: Silvia surname: Tommasin fullname: Tommasin, Silvia organization: Dipartimento di Neuroscienze Umane, Sapienza Univeristà di Roma, Rome, Italy – sequence: 4 givenname: Tommaso surname: Gili fullname: Gili, Tommaso organization: Fondazione Santa Lucia IRCCS, Rome, Italy – sequence: 5 givenname: Ibrahim Eid surname: Hassan fullname: Hassan, Ibrahim Eid organization: Department of Physics, Helwan University, Cairo, Egypt – sequence: 6 givenname: Michela surname: Fratini fullname: Fratini, Michela organization: Istituto di Nanotecnologia, Consiglio Nazionale delle Ricerche, Rome, Italy – sequence: 7 givenname: Mauro surname: DiNuzzo fullname: DiNuzzo, Mauro organization: Independent Researcher, Rome, Italy – sequence: 8 givenname: Richard G surname: Wise fullname: Wise, Richard G organization: Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, United Kingdom – sequence: 9 givenname: Silvia surname: Mangia fullname: Mangia, Silvia organization: Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, United States – sequence: 10 givenname: Emiliano surname: Macaluso fullname: Macaluso, Emiliano organization: ImpAct Team, Lyon Neuroscience Research Center, Université de Lyon, Lyon, France – sequence: 11 givenname: Federico surname: Giove fullname: Giove, Federico organization: Fondazione Santa Lucia IRCCS, Rome, Italy |
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Copyright | Copyright © 2020 Moraschi, Mascali, Tommasin, Gili, Hassan, Fratini, DiNuzzo, Wise, Mangia, Macaluso and Giove. Distributed under a Creative Commons Attribution 4.0 International License Copyright © 2020 Moraschi, Mascali, Tommasin, Gili, Hassan, Fratini, DiNuzzo, Wise, Mangia, Macaluso and Giove. 2020 Moraschi, Mascali, Tommasin, Gili, Hassan, Fratini, DiNuzzo, Wise, Mangia, Macaluso and Giove |
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Keywords | connectivity dynamics functional connectivity modularity working memory topology brain segregation |
Language | English |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 PMCID: PMC7227445 Reviewed by: Andreas Hess, University of Erlangen-Nuremberg, Germany; Xiaoyun Liang, Australian Catholic University, Australia These authors have contributed equally to this work Edited by: Ewald Moser, Medical University of Vienna, Austria This article was submitted to Medical Physics and Imaging, a section of the journal Frontiers in Physiology |
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Title | Brain Network Modularity During a Sustained Working-Memory Task |
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