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
  • [31] Amplitude of low-frequency fluctuation after taste exposure revealed by resting-state fMRI
    Chen, Jie
    Zhao, Mengqi
    Huang, Lina
    Liu, Yuansheng
    Li, Xueying
    Jia, Xize
    Ding, Qingguo
    Wang, Chunjie
    Liang, Pei
    PHYSIOLOGY & BEHAVIOR, 2023, 261
  • [32] Frequency-dependent changes in the amplitude of low-frequency fluctuations in subcortical ischemic vascular disease (SIVD): A resting-state fMRI study
    Li, Chuanming
    Liu, Chen
    Yin, Xuntao
    Yang, Jun
    Gui, Li
    Wei, Luqing
    Wang, Jian
    BEHAVIOURAL BRAIN RESEARCH, 2014, 274 : 205 - 210
  • [33] Tai Chi Chuan and Baduanjin Mind-Body Training Changes Resting-State Low-Frequency Fluctuations in the Frontal Lobe of Older Adults: A Resting-State fMRI Study
    Tao, Jing
    Chen, Xiangli
    Liu, Jiao
    Egorova, Natalia
    Xue, Xiehua
    Liu, Weilin
    Zheng, Guohua
    Li, Ming
    Wu, Jinsong
    Hu, Kun
    Wang, Zengjian
    Chen, Lidian
    Kong, Jian
    FRONTIERS IN HUMAN NEUROSCIENCE, 2017, 11 : 1 - 10
  • [34] Resting-state low-frequency fluctuations reflect individual differences in spoken language learning
    Deng, Zhizhou
    Chandrasekaran, Bharath
    Wang, Suiping
    Wong, Patrick C. M.
    CORTEX, 2016, 76 : 63 - 78
  • [35] Low-frequency EEG correlates of fMRI in the resting state
    Joshua K Grooms
    Garth J Thompson
    Hillary Schwarb
    Eric Schumacher
    Regina Schmidt
    Charles Epstein
    Shella D Keilholz
    BMC Neuroscience, 13 (Suppl 1)
  • [36] Alterations of the amplitude of low-frequency fluctuations in treatment-resistant and treatment-response depression: A resting-state fMRI study
    Guo, Wen-bin
    Liu, Feng
    Xue, Zhi-min
    Xu, Xi-jia
    Wu, Ren-rong
    Ma, Chao-qiong
    Wooderson, Sarah C.
    Tan, Chang-lian
    Sun, Xue-li
    Chen, Jin-dong
    Liu, Zhe-ning
    Xiao, Chang-qing
    Chen, Hua-fu
    Zhao, Jing-ping
    PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY, 2012, 37 (01): : 153 - 160
  • [37] Frequency-dependent changes in amplitude of low-frequency oscillations in depression: A resting-state fMRI study
    Wang, Li
    Kong, Qingmei
    Li, Ke
    Su, Yunai
    Zeng, Yawei
    Zhang, Qinge
    Dai, Wenji
    Xia, Mingrui
    Wang, Gang
    Jin, Zhen
    Yu, Xin
    Si, Tianmei
    NEUROSCIENCE LETTERS, 2016, 614 : 105 - 111
  • [38] Fractional Amplitude of Low-Frequency Fluctuations of BOLD Signal in Schizophrenia
    Khodaee, Afsoon
    Hossein-Zadeh, Gholam-Ali
    Ananloo, Esmaeil Shahsavand
    2015 23RD IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE), 2015, : 104 - 108
  • [39] Fractional amplitude of low-frequency fluctuation changes in functional dyspepsia: A resting-state fMRI study
    Zhou, Guangyu
    Liu, Peng
    Wang, Jingjing
    Wen, Haixia
    Zhu, Mengbo
    Zhao, Ruixia
    von Deneen, Karen M.
    Zeng, Fang
    Liang, Fanrong
    Gong, Qiyong
    Qin, Wei
    Tian, Jie
    MAGNETIC RESONANCE IMAGING, 2013, 31 (06) : 996 - 1000
  • [40] Low-frequency fluctuation characteristics in rhesus macaques with SIV infection: a resting-state fMRI study
    Jing Zhao
    Feng Chen
    Meiji Ren
    Li Li
    Aixin Li
    Bin Jing
    Hongjun Li
    Journal of NeuroVirology, 2019, 25 : 141 - 149