Shmueli Karin, van Gelderen Peter, de Zwart Jacco A, Horovitz Silvina G, Fukunaga Masaki, Jansma J Martijn, Duyn Jeff H
Advanced MRI Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, 10 Center Drive, Bldg. 10, Rm. B1D-728, Bethesda, MD 20892-1065, USA.
Neuroimage. 2007 Nov 1;38(2):306-20. doi: 10.1016/j.neuroimage.2007.07.037. Epub 2007 Aug 9.
Heart rate fluctuations occur in the low-frequency range (<0.1 Hz) probed in functional magnetic resonance imaging (fMRI) studies of resting-state functional connectivity and most fMRI block paradigms and may be related to low-frequency blood-oxygenation-level-dependent (BOLD) signal fluctuations. To investigate this hypothesis, temporal correlations between cardiac rate and resting-state fMRI signal timecourses were assessed at 3 T. Resting-state BOLD fMRI and accompanying physiological data were acquired and analyzed using cross-correlation and regression. Time-shifted cardiac rate timecourses were included as regressors in addition to established physiological regressors (RETROICOR (Glover, G.H., Li, T.Q., Ress, D., 2000. Image-based method for retrospective correction of physiological motion effects in fMRI: RETROICOR. Magn Reson Med 44, 162-167) and respiration volume per unit time (Birn, R.M., Diamond, J.B., Smith, M.A., Bandettini, P.A., 2006b. Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI. NeuroImage 31, 1536-1548). Significant correlations between the cardiac rate and BOLD signal timecourses were revealed, particularly negative correlations in gray matter at time shifts of 6-12 s and positive correlations at time shifts of 30-42 s (TR=6 s). Regressors consisting of cardiac rate timecourses shifted by delays of between 0 and 24 s explained an additional 1% of the BOLD signal variance on average over the whole brain across 9 subjects, a similar additional variance to that explained by respiration volume per unit time and RETROICOR regressors, even when used in combination with these other physiological regressors. This suggests that including such time-shifted cardiac rate regressors will be beneficial for explaining physiological noise variance and will thereby improve the statistical power in future task-based and resting-state fMRI studies.
心率波动出现在静息态功能连接的功能磁共振成像(fMRI)研究以及大多数fMRI组块范式所探测的低频范围(<0.1 Hz)内,并且可能与低频血氧水平依赖(BOLD)信号波动有关。为了探究这一假设,在3 T磁场强度下评估了心率与静息态fMRI信号时间历程之间的时间相关性。采集静息态BOLD fMRI及伴随的生理数据,并使用互相关和回归分析进行分析。除了已有的生理回归变量(RETROICOR(Glover, G.H., Li, T.Q., Ress, D., 2000. Image-based method for retrospective correction of physiological motion effects in fMRI: RETROICOR. Magn Reson Med 44, 162 - 167)和单位时间呼吸量(Birn, R.M., Diamond, J.B., Smith, M.A., Bandettini, P.A., 2006b. Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI. NeuroImage 31, 1536 - 1548))之外,还将时移后的心率时间历程作为回归变量纳入。结果显示心率与BOLD信号时间历程之间存在显著相关性,尤其是在灰质中,6 - 12秒时移出现负相关,30 - 42秒时移出现正相关(重复时间(TR)=6秒)。由延迟0至24秒的时移心率时间历程组成的回归变量,在9名受试者的全脑范围内平均额外解释了1%的BOLD信号方差,这与单位时间呼吸量和RETROICOR回归变量所解释的额外方差相似;即使与这些其他生理回归变量联合使用时也是如此。这表明纳入此类时移心率回归变量将有助于解释生理噪声方差,并从而提高未来基于任务和静息态fMRI研究的统计功效。