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

@article{citeulike:1902953, abstract = {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.}, author = {Shmueli, Karin and van Gelderen, Peter and de Zwart, Jacco A. and Horovitz, Silvina G. and Fukunaga, Masaki and Jansma, J. Martijn and Duyn, Jeff H.}, citeulike-article-id = {1902953}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.neuroimage.2007.07.037}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S1053811907006702}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/17869543}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=17869543}, citeulike-linkout-4 = {http://www.sciencedirect.com/science/article/B6WNP-4PCPFJP-3/2/6945403db48b9be81218eeea0c128f0f}, day = {1}, doi = {10.1016/j.neuroimage.2007.07.037}, issn = {1053-8119}, journal = {NeuroImage}, keywords = {fmri, heart\_rate, methods}, month = {November}, number = {2}, pages = {306--320}, posted-at = {2009-11-09 22:38:18}, priority = {2}, title = {Low-frequency fluctuations in the cardiac rate as a source of variance in the resting-state fMRI BOLD signal.}, url = {http://dx.doi.org/10.1016/j.neuroimage.2007.07.037}, volume = {38}, year = {2007} }

TY - JOUR ID - citeulike:1902953 L3 - citeulike-article-id:1902953 N2 - 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. IS - 2 JF - NeuroImage SN - 1053-8119 EP - 320 TI - Low-frequency fluctuations in the cardiac rate as a source of variance in the resting-state fMRI BOLD signal. VL - 38 SP - 306 KW - fmri KW - heart_rate KW - methods AU - Shmueli, Karin AU - van Gelderen, Peter AU - de Zwart, Jacco AU - Horovitz, Silvina AU - Fukunaga, Masaki AU - Jansma, Martijn AU - Duyn, Jeff PY - 2007/11/01/ UR - http://dx.doi.org/10.1016/j.neuroimage.2007.07.037 ER -