The interaction of physiological noise correction with multi and single echo ICA denoising
Jennifer Evans 1 , Prantik Kundu 2 , and Peter Bandettini 1
NIH, Bethesda, Maryland, United States,
Sinai, New York, United States
Physiological noise removal is an important part of the
fMRI preprocessing pipeline but the collection of good
physiological data adds an extra complication to data
acquisition. Here we look at ICA denoising techniques
that are currently available that attempt to remove
non-signal components either by prior identification
(FIX) or based on the amount of BOLD scaling (MEICA)
using multi-echo acquisition and the effect of the use
of physiological noise regressors on the denoised data.
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