Nikolaou F, Orphanidou C, Wise R G, Mitsis G D
Annu Int Conf IEEE Eng Med Biol Soc. 2015 Aug;2015:1809-12. doi: 10.1109/EMBC.2015.7318731.
It is well known that the blood-oxygen level dependent (BOLD) signal measured by functional magnetic resonance imaging (fMRI) is influenced - in addition to neuronal activity - by fluctuations in physiological signals, including arterial CO2. For instance, even spontaneous CO2 fluctuations have been shown to influence the BOLD fMRI signal regionally. Related to this, studies of functional connectivity between different brain regions, performed when the subject is at rest, may be confounded by the effects of physiological noise. Moreover, resting functional connectivity has been shown to vary with respect to time (dynamic functional connectivity), with the sources of this variation not fully understood at present. In this context, in the present paper we examine the relation between dynamic functional connectivity patterns and the properties of the end-tidal CO2 signal (PETCO2) using resting-state fMRI measurements from 12 healthy subjects. The results demonstrate that there exists a modulatory effect of the correlation strength between PETCO2 and the BOLD signal on dynamic resting functional connectivity. The extent to which this effect was observed was found to be strongly dependent on the data analysis methodology.
众所周知,通过功能磁共振成像(fMRI)测量的血氧水平依赖(BOLD)信号,除了受神经元活动影响外,还受到包括动脉二氧化碳在内的生理信号波动的影响。例如,即使是自发的二氧化碳波动也已被证明会在局部影响BOLD fMRI信号。与此相关的是,在受试者休息时进行的不同脑区之间功能连接性的研究,可能会受到生理噪声影响的干扰。此外,静息功能连接性已被证明会随时间变化(动态功能连接性),目前这种变化的来源尚未完全了解。在此背景下,在本文中,我们使用来自12名健康受试者的静息态fMRI测量数据,研究动态功能连接模式与呼气末二氧化碳信号(PETCO2)特性之间的关系。结果表明,PETCO2与BOLD信号之间的相关强度对动态静息功能连接性存在调节作用。发现观察到这种效应的程度强烈依赖于数据分析方法。