Nieto-Castanon, A. (2020). FMRI denoising pipeline. In Handbook of functional connectivity Magnetic Resonance Imaging methods in CONN (pp. 17–25). Hilbert Press. https://doi.org/10.56441/hilbertpress.2207.6600
Nieto-Castanon, A. (2020). FMRI denoising pipeline. In Handbook of functional connectivity Magnetic Resonance Imaging methods in CONN (pp. 17–25). Hilbert Press. https://doi.org/10.56441/hilbertpress.2207.6600
FMRI denoising pipeline
Nieto-Castanon, A. (2020)
Abstract
After the functional data has been preprocessed, the measured blood-oxygen-level-dependent (BOLD) signal often still contains a considerable amount of noise from a combination of physiological effects, outliers, and residual subject-motion factors. If unaccounted for, these factors would introduce very strong and noticeable biases in all functional connectivity measures. This chapter describes standard and advanced denoising procedures in CONN that are used to characterize and remove the effect of these residual non-neural noise sources.