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.

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. - In: FRONTIERS IN PHYSICS. - ISSN 2296-424X. - 5:JUL(2017). [10.3389/fphy.2017.00031]

Task-Related modulations of BOLD low-frequency fluctuations within the default mode Network

Tommasin, Silvia;Mascali, Daniele;Gili, Tommaso;Fratini, Michela;Wise, Richard G.;Mangia, Silvia;Giove, Federico
2017

Abstract

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
DMN; fALFF; Functional connectivity; Low frequency BOLD fluctuations; Working memory; Physics and Astronomy (all); Physical and Theoretical Chemistry; Materials Science (miscellaneous); Mathematical Physics; Biophysics
01 Pubblicazione su rivista::01a Articolo in rivista
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. - In: FRONTIERS IN PHYSICS. - ISSN 2296-424X. - 5:JUL(2017). [10.3389/fphy.2017.00031]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1113034
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