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

被引:13
|
作者
Tommasin, Silvia [1 ,2 ]
Mascali, Daniele [1 ,2 ]
Gili, Tommaso [1 ,2 ,3 ]
Assan, Ibrahim Eid [4 ]
Moraschi, Marta [1 ,2 ]
Fratini, Michela [3 ,5 ]
Wises, Richard G. [6 ]
Macaluso, Emiliano [7 ]
Mangia, Silvia [8 ]
Giove, Federico [1 ,2 ,3 ]
机构
[1] Ctr Fermi Museo Stor Fis, MARBILab, Rome, Italy
[2] Ctr Studi & Ric Enrico Fermi, Rome, Italy
[3] IRCCS, Fdn Santa Lucia, Rome, Italy
[4] Sapienza Univ Rome, Dipartimento Fis, Rome, Italy
[5] CNR, Ist Nanotecnol, Rome, Italy
[6] Cardiff Univ, Sch Psychol, Brain Res Imaging Ctr, Cardiff, S Glam, Wales
[7] Lyon Neurosci Res Ctr, ImpAct Team, Lyon, France
[8] Univ Minnesota Twin Cities, Ctr Magnet Resonance Res, Minneapolis, MN USA
来源
FRONTIERS IN PHYSICS | 2017年 / 5卷
基金
美国国家卫生研究院;
关键词
low frequency BOLD fluctuations; functional connectivity; DMN; working memory; fALFF; RESTING-STATE ACTIVITY; FUNCTIONAL CONNECTIVITY; BRAIN ACTIVITY; VISUAL-CORTEX; AMPLITUDE; ACTIVATION; SIGNAL; AREAS; FMRI; MRI;
D O I
10.3389/fphy.2017.00031
中图分类号
O4 [物理学];
学科分类号
0702 ;
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 f 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.
引用
收藏
页数:8
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