Sources of functional magnetic resonance imaging signal fluctuations in the human brain at rest: a 7 T study

被引:181
作者
Bianciardi, Marta [1 ]
Fukunaga, Masaki [1 ]
van Gelderen, Peter [1 ]
Horovitz, Silvina G. [1 ]
de Zwart, Jacco A. [1 ]
Shmueli, Karin [1 ]
Duyn, Jeff H. [1 ]
机构
[1] NINDS, Adv MRI Sect, LFMI, NIH, Bethesda, MD 20892 USA
关键词
Nonthermal noise; Spontaneous activity; Physiological noise; 7-T BOLD fMRI; Resting state; BOLD SIGNAL; PHYSIOLOGICAL NOISE; FMRI; STATE; CONNECTIVITY; RESPIRATION; HYPERCAPNIA; DYNAMICS; CORTEX; SLEEP;
D O I
10.1016/j.mri.2009.02.004
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Signal fluctuations in functional magnetic resonance imaging (fMRI) call result from a number of sources that may have a neuronal., physiologic or instrumental origin. To determine the relative contribution of these Sources, we recorded physiological (respiration and cardiac) signals Simultaneously with fMRI in human Volunteers at rest with their eyes closed. State-of the-arty technology was used including high inagnetic field (7 T), a niultichannel detector array and high-resolution (3 mm(3)) echo-planar imaging. We investigated the relative contribution of thermal noise and other sources of variance to the observed fMRI signal fluctuations both ill the Visual cortex and in the whole brain gray matter. The following Sources of variance were evaluated separately: low-frequency drifts due to scanner instability, effects correlated with respiratory and cardiac cycles, effects clue to variability in the respiratory flow rate and cardiac rate, and other sources, tentatively attributed to spontaneous neuronal activity. We found that low-frequency drifts are the most significant source of fMRI signal fluctuations (3.0% signal change in the Visual cortex, TE=32 ills), followed by spontaneous neuronal activity (2.9%), thermal noise (2.1%), effects due to variability in physiological rates (respiration 0.9%, heartbeat 0.9%), and correlated with physiological cycles (0.6%). We Suggest the selection and use of four lagged physiological noise regressors as all effective model to explain the variance related to fluctuations in the rates of respiration volume change and cardiac pulsation. Our results also indicate that, compared to the whole brain gray matter, the visual cortex has higher sensitivity to changes in both the rate of respiration and the spontaneous resting-state activity. Under the conditions of this Study, spontaneous neuronal activity is one of the major contributors to the measured fMRI signal fluctions ions, increasing almost twofold relative to earlier experiments under similar conditions at 3 T. Published by Elsevier Inc.
引用
收藏
页码:1019 / 1029
页数:11
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