Task-Related Modulations of BOLD Low-Frequency Fluctuations within the Default Mode Network

Frontiers in Physics

Fratini, Michela¹  Giove, Federico²  Moraschi, Marta³  Eid Assan, Ibrahim⁴  Macaluso, Emiliano⁴  Mangia, Silvia⁶  Gili, Tommaso⁷  Mascali, Daniele⁷  Wise, Richard G.⁷  Tommasin, Silvia⁷ 

[1] di Rome, Rome, Italy;Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, United Kingdom;Dipartimento di Fisica, Sapienza UniversitàFondazione Santa Lucia IRCCS, Rome, Italy;ImpAct Team, Lyon Neuroscience Research Center, Lyon, France;Istituto di Nanotecnologia, Consiglio Nazionale delle Ricerche, Rome, Italy;MARBILab, Centro Fermi—Museo Storico Della fisica e Centro Studi e Ricerche Enrico Fermi, Rome, Italy

关键词: BOLD;    Low frequency oscillations;    functional connectivity;    DMN;    working memory;    ALFF;   

DOI  :  10.3389/fphy.2017.00031

学科分类：物理（综合）

来源: Frontiers

【 摘 要 】

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, 8F/12M) the relationship between changes of spectral and spatiotemporal features of one prominent resting-state network, namely the DMN, during the steady-state execution of a sustained working memory n-back task. We found that the steady state execution of such a task 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 steady-state task execution, can contribute to a better understanding of how brain networks rearrange themselves in response of a task.

【 授权许可】

CC BY