Resting fluctuations in arterial carbon dioxide induce significant low frequency variations in BOLD signal
Resting fluctuations in arterial carbon dioxide induce significant low frequency variations in BOLD signal
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DOI:
10.1016/j.neuroimage.2003.11.025
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发表时间:
2004-04-01
期刊:
影响因子:
5.7
通讯作者:
Tracey, I
中科院分区:
文献类型:
--
作者:
Wise, RG;Ide, K;Tracey, I
Carbon dioxide is a potent cerebral vasodilator. We have identified a significant source of low-frequency variation in blood oxygen level-dependent (BOLD) magnetic resonance imaging (MRI) signal at 3 T arising from spontaneous fluctuations in arterial carbon dioxide level in volunteers at rest. Fluctuations in the partial pressure of end-tidal carbon dioxide (PETCO2) of +/- 1.1 mm Hg in the frequency range 0-0.05 Hz were observed in a cohort of nine volunteers. Correlating with these fluctuations were significant generalized grey and white matter BOLD signal fluctuations. We observed a mean ( standard error) regression coefficient across the group of 0.110 +/- 0.033% BOLD signal change per nun Hg CO2 for grey matter and 0.049 +/- 0.022% per mm Hg in white matter. PETCO2-related BOLD signal fluctuations showed regional differences across the grey matter, suggesting variability of the responsiveness to carbon dioxide at rest. Functional magnetic resonance imaging (fMRI) results were corroborated by transcranial Doppler (TCD) ultrasound measurements of the middle cerebral artery (MCA) blood velocity in a cohort of four volunteers. Significant PETCO2-correlated fluctuations in MCA blood velocity were observed with a lag of 6.3 +/- 1.2 s (mean standard error) with respect to PETCO2 changes. This haemodynamic lag was adopted in the analysis of the BOLD signal. Doppler ultrasound suggests that a component of low-frequency BOLD signal fluctuations is mediated by CO2-induced changes in cerebral blood flow (CBF). These fluctuations are a source of physiological noise and a potentially important confounding factor in fMRI paradigms that modify breathing. However, they can also be used for mapping regional vascular responsiveness to CO2. (C) 2004 Elsevier Inc. All rights reserved.