Detection of physiological noise in resting state fMRI using machine learning.

Abstract

We present a technique for predicting cardiac and respiratory phase on a time point by time point basis, from fMRI image data. These predictions have utility in attempts to detrend effects of the physiological cycles from fMRI image data. We demonstrate the technique both in the case where it can be trained on a subject's own data, and when it cannot. The… (More)
DOI: 10.1002/hbm.21487

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