Characterizing spectral and temporal effects of heart rate variability on resting-state BOLD signals using wavelet transform coherence
Quimby Lee1, Jingyuan E. Chen2,3, Gregory Wheeler4, and Audrey P. Fan1,4
1Department of Neurology, University of California, Davis, Davis, CA, United States, 2Department of Radiology, Harvard Medical School, Boston, MA, United States, 3Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, United States, 4Department of Biomedical Engineering, University of California, Davis, Davis, CA, United States
Heart rate variability (HRV), which is reflective of autonomic regulation, induces vascular effects in low (0.05-0.15Hz) and high (0.15-0.4Hz) frequency bands that can influence the blood oxygen level dependent (BOLD) signal of resting-state functional magnetic resonance imaging (rsfMRI). In this study, we utilized a wavelet transform coherence analysis to identify spectral and temporal differences in phased-locked behavior between HRV and resting-state network (RSN) time courses. Subjects differed in the frequency band with greatest time-averaged coherence and percentage of time with significant coherence of HRV and RSN signals.
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