The interaction of physiological noise correction with multi and single echo ICA denoising

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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