Low-frequency fluctuations in the cardiac rate as a source of variance in the resting-state fMRI BOLD signal

被引:421
|
作者
Shmueli, Karin [1 ]
van Gelderen, Peter [1 ]
de Zwart, Jacco A. [1 ]
Horovitz, Silvina G. [1 ]
Fukunaga, Masaki [1 ]
Jansma, J. Martijn [1 ]
Duyn, Jeff H. [1 ]
机构
[1] Natl Inst Neurol Disorders & Stroke, NIH, Lab Funct & Mol Imaging, Adv MRI Sect, Bethesda, MD 20892 USA
关键词
D O I
10.1016/j.neuroimage.2007.07.037
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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, 162167) 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. Published by Elsevier Inc.
引用
收藏
页码:306 / 320
页数:15
相关论文
共 50 条
  • [41] Low-frequency fluctuation characteristics in rhesus macaques with SIV infection: a resting-state fMRI study
    Zhao, Jing
    Chen, Feng
    Ren, Meiji
    Li, Li
    Li, Aixin
    Jing, Bin
    Li, Hongjun
    JOURNAL OF NEUROVIROLOGY, 2019, 25 (02) : 141 - 149
  • [42] Gender differences of amplitude of low-frequency fluctuations in bipolar disorder: A resting state fMRI study
    Jiang, Xuejun
    Wu, Feng
    Zhang, Yifan
    Li, Huizi
    Kang, Jiahui
    Kong, Lingtao
    Wang, Fei
    Tang, Yanqing
    JOURNAL OF AFFECTIVE DISORDERS, 2021, 280 : 189 - 196
  • [43] L-DOPA changes spontaneous low-frequency BOLD signal oscillations in Parkinson's disease: a resting state fMRI study
    Kwak, Y.
    Peltier, S. J.
    Bohnen, N. L.
    Mueller, M. L. T. M.
    Dayalu, P.
    Seidler, R. D.
    FRONTIERS IN SYSTEMS NEUROSCIENCE, 2012, 6
  • [44] Comparing abnormalities of amplitude of low-frequency fluctuations in multiple system atrophy and idiopathic Parkinson's disease measured with resting-state fMRI
    Wang, Na
    Edmiston, Elliot Kale
    Luo, XiaoGuang
    Yang, HuaGuang
    Chang, Miao
    Wang, Fei
    Fan, GuoGuang
    PSYCHIATRY RESEARCH-NEUROIMAGING, 2017, 269 : 73 - 81
  • [45] Reliable new measures capturing low-frequency fluctuations from resting-state functional MRI
    Kim, Jae-Chang
    Kyeong, Sunghyon
    NEUROREPORT, 2018, 29 (03) : 197 - 202
  • [46] Abnormal spontaneous brain activity in type 2 diabetic retinopathy revealed by amplitude of low-frequency fluctuations: a resting-state fMRI study
    Wang, Z. -L.
    Zou, L.
    Lu, Z. -W.
    Xie, X. -Q.
    Jia, Z. -Z.
    Pan, C. -J.
    Zhang, G. -X.
    Ge, X. -M.
    CLINICAL RADIOLOGY, 2017, 72 (04) : 340.e1 - 340.e7
  • [47] Editorial: Origins of the Resting-State fMRI Signal
    Chen, J. Jean
    Herman, Peter
    Keilholz, Shella
    Thompson, Garth J.
    FRONTIERS IN NEUROSCIENCE, 2020, 14
  • [48] Infraslow LFP correlates to resting-state fMRI BOLD signals
    Pan, Wen-Ju
    Thompson, Garth John
    Magnuson, Matthew Evan
    Jaeger, Dieter
    Keilholz, Sheila
    NEUROIMAGE, 2013, 74 : 288 - 297
  • [49] Anticorrelated networks in resting-state fMRI-BOLD data
    Liu, Yadong
    Huang, Liangming
    Li, Ming
    Zhou, Zongtan
    Hu, Dewen
    BIO-MEDICAL MATERIALS AND ENGINEERING, 2015, 26 : S1201 - S1211
  • [50] Source of low-frequency fluctuations in functional MRI signal
    Razavi, Mehrdad
    Eaton, Brent
    Paradiso, Sergio
    Mina, Mani
    Hudetz, Anthony G.
    Bolinger, Lizann
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2008, 27 (04) : 891 - 897