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

Silvia Tommasin, Daniele Mascali, Tommaso Gili, Ibrahim Eid Assan, Marta Moraschi, Michela Fratini, Richard G. Wise, Emiliano Macaluso, Silvia Mangia, Federico Giove

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

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.

Original languageEnglish (US)
Article number31
JournalFrontiers in Physics
Volume5
Issue numberJUL
DOIs
StatePublished - Jul 25 2017

Bibliographical note

Funding Information:
The present work was supported by Regione Lazio, grant PAMINA (to FG) and by the National Institutes of Health, award number R01DK099137 (to SM). This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 691110 (MICROBRADAM). The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding bodies.

Keywords

  • DMN
  • Functional connectivity
  • Low frequency BOLD fluctuations
  • Working memory
  • fALFF

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