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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