Abstract #0996

Characterizing spectral and temporal effects of heart rate variability on resting-state BOLD signals using wavelet transform coherence

Quimby Lee¹, Jingyuan E. Chen^2,3, Gregory Wheeler⁴, and Audrey P. Fan^1,4

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

Synopsis

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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