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Abstract #4129

Characterization and Reduction of Cardiac- and Respiratory- Induced Noise as a Function of the Sampling Rate (TR) in fMRI

Dietmar Cordes 1,2 , Rajesh R. Nandy 3 , Scott Schafer 2 , and Tor D. Wager 2

1 Ryerson University, Toronto, Ontario, Canada, 2 University of Colorado, Boulder, Colorado, United States, 3 University of North Texas Health Science Center, Texas, United States

The physiological noise in the lower brain areas (brain stem and nearby regions) are investigated in resting-state data and a novel method is presented for computing both low-frequency and high-frequency physiological regressors. In particular, using a novel optimization algorithm that penalizes curvature, the cardiac -and respiratory-related low-frequency response functions are computed. Also, the frequency-aliasing property of the high-frequency cardiac waveform as a function of the repetition time (TR) is investigated. It is shown that for brain areas associated with large pulsations of the cardiac rate, the temporal SNR associated with the BOLD response has maxima at subject-specific TRs.

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