Relationship between respiration, end-tidal CO2, and BOLD signals in resting-state fMRI.
Relationship between respiration, end-tidal CO2, and BOLD signals in resting-state fMRI.
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DOI：
10.1016/j.neuroimage.2009.04.048
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发表时间：
2009-10-01
期刊：
影响因子：
5.7
通讯作者：
Glover GH
中科院分区：
文献类型：
--
作者：
Chang C;Glover GH
BOLD fMRI生理噪声的一个重要组成部分是由呼吸的深度和速率的变化引起的。先前已经证明，从胸部扩张的气动带测量计算的呼吸变化的呼吸到呼吸度量（每时间的呼吸量; RVT）与整个大脑的静息状态BOLD信号具有强线性关系。RVT被认为可以捕获呼吸引起的动脉CO2变化，这是一种脑血管扩张剂;事实上，单独的研究发现，呼气末CO2（PETCO 2）的自发波动与BOLD信号时间序列相关。本研究量化了RVT和PETCO 2测量彼此相关的程度，并解释了静息状态BOLD信号的共同点。发现RVT（特别是当与特定脉冲响应卷积时，“呼吸响应函数”）与PETCO 2高度相关，并且两者都解释了大脑中非常相似的空间和时间BOLD信号变化。此外，研究表明，呼气末O2与PETCO 2在很大程度上是多余的。最后，PETCO 2和呼吸带测量与个体体素的时间序列相关的延迟被发现在整个大脑中变化，并且可以揭示固有血管反应延迟的特性。
A significant component of BOLD fMRI physiological noise is caused by variations in the depth and rate of respiration. It has previously been demonstrated that a breath-to-breath metric of respiratory variation (respiratory volume per time; RVT), computed from pneumatic belt measurements of chest expansion, has a strong linear relationship with resting-state BOLD signals across the brain. RVT is believed to capture breathing-induced changes in arterial CO2, which is a cerebral vasodilator; indeed, separate studies have found that spontaneous fluctuations in end-tidal CO2 (PETCO2) are correlated with BOLD signal time series. The present study quantifies the degree to which RVT and PETCO2 measurements relate to one another and explain common aspects of the resting-state BOLD signal. It is found that RVT (particularly when convolved with a particular impulse response, the “respiration response function”) is highly correlated with PETCO2, and that both explain remarkably similar spatial and temporal BOLD signal variance across the brain. In addition, end-tidal O2 is shown to be largely redundant with PETCO2. Finally, the latency at which PETCO2 and respiration belt measures are correlated with the time series of individual voxels is found to vary across the brain and may reveal properties of intrinsic vascular response delays.
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