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Task-Related Modulations of BOLD Low-Frequency Fluctuations within the Default Mode Network
Spontaneous low-frequency Blood-Oxygenation Level-Dependent (BOLD) signals acquired during resting state are characterized by spatial patterns of synchronous fluctuations, ultimately leading to the identification of robust brain networks. The resting-state brain networks, including the Default Mode...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5568127/ https://www.ncbi.nlm.nih.gov/pubmed/28845420 http://dx.doi.org/10.3389/fphy.2017.00031 |
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author | Tommasin, Silvia Mascali, Daniele Gili, Tommaso Assan, Ibrahim Eid Moraschi, Marta Fratini, Michela Wise, Richard G. Macaluso, Emiliano Mangia, Silvia Giove, Federico |
author_facet | Tommasin, Silvia Mascali, Daniele Gili, Tommaso Assan, Ibrahim Eid Moraschi, Marta Fratini, Michela Wise, Richard G. Macaluso, Emiliano Mangia, Silvia Giove, Federico |
author_sort | Tommasin, Silvia |
collection | PubMed |
description | Spontaneous low-frequency Blood-Oxygenation Level-Dependent (BOLD) signals acquired during resting state are characterized by spatial patterns of synchronous fluctuations, ultimately leading to the identification of robust brain networks. The resting-state brain networks, including the Default Mode Network (DMN), are demonstrated to persist during sustained task execution, but the exact features of task-related changes of network properties are still not well characterized. In this work we sought to examine in a group of 20 healthy volunteers (age 33 ± 6 years, 8 F/12 M) the relationship between changes of spectral and spatiotemporal features of one prominent resting-state network, namely the DMN, during the continuous execution of a working memory n-back task. We found that task execution impacted on both functional connectivity and amplitude of BOLD fluctuations within large parts of the DMN, but these changes correlated between each other only in a small area of the posterior cingulate. We conclude that combined analysis of multiple parameters related to connectivity, and their changes during the transition from resting state to continuous task execution, can contribute to a better understanding of how brain networks rearrange themselves in response to a task. |
format | Online Article Text |
id | pubmed-5568127 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
record_format | MEDLINE/PubMed |
spelling | pubmed-55681272017-08-23 Task-Related Modulations of BOLD Low-Frequency Fluctuations within the Default Mode Network Tommasin, Silvia Mascali, Daniele Gili, Tommaso Assan, Ibrahim Eid Moraschi, Marta Fratini, Michela Wise, Richard G. Macaluso, Emiliano Mangia, Silvia Giove, Federico Front Phys Article Spontaneous low-frequency Blood-Oxygenation Level-Dependent (BOLD) signals acquired during resting state are characterized by spatial patterns of synchronous fluctuations, ultimately leading to the identification of robust brain networks. The resting-state brain networks, including the Default Mode Network (DMN), are demonstrated to persist during sustained task execution, but the exact features of task-related changes of network properties are still not well characterized. In this work we sought to examine in a group of 20 healthy volunteers (age 33 ± 6 years, 8 F/12 M) the relationship between changes of spectral and spatiotemporal features of one prominent resting-state network, namely the DMN, during the continuous execution of a working memory n-back task. We found that task execution impacted on both functional connectivity and amplitude of BOLD fluctuations within large parts of the DMN, but these changes correlated between each other only in a small area of the posterior cingulate. We conclude that combined analysis of multiple parameters related to connectivity, and their changes during the transition from resting state to continuous task execution, can contribute to a better understanding of how brain networks rearrange themselves in response to a task. 2017-07-25 2017-07 /pmc/articles/PMC5568127/ /pubmed/28845420 http://dx.doi.org/10.3389/fphy.2017.00031 Text en 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) or licensor 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 | Article Tommasin, Silvia Mascali, Daniele Gili, Tommaso Assan, Ibrahim Eid Moraschi, Marta Fratini, Michela Wise, Richard G. Macaluso, Emiliano Mangia, Silvia Giove, Federico Task-Related Modulations of BOLD Low-Frequency Fluctuations within the Default Mode Network |
title | Task-Related Modulations of BOLD Low-Frequency Fluctuations within the Default Mode Network |
title_full | Task-Related Modulations of BOLD Low-Frequency Fluctuations within the Default Mode Network |
title_fullStr | Task-Related Modulations of BOLD Low-Frequency Fluctuations within the Default Mode Network |
title_full_unstemmed | Task-Related Modulations of BOLD Low-Frequency Fluctuations within the Default Mode Network |
title_short | Task-Related Modulations of BOLD Low-Frequency Fluctuations within the Default Mode Network |
title_sort | task-related modulations of bold low-frequency fluctuations within the default mode network |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5568127/ https://www.ncbi.nlm.nih.gov/pubmed/28845420 http://dx.doi.org/10.3389/fphy.2017.00031 |
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