Potential pitfalls when denoising resting state fMRI data using nuisance regression

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Potential pitfalls when denoising resting state fMRI data using nuisance regression

In resting state fMRI, it is necessary to remove signal variance associated with noise sources, leaving cleaned fMRI time-series that more accurately reflect the underlying intrinsic brain fluctuations of interest. This is commonly achieved through nuisance regression, in which the fit is calculated...

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Bibliographic Details
Main Authors:	Bright, Molly G., Tench, Christopher R., Murphy, Kevin
Format:	Article
Published:	Elsevier 2016
Subjects:	Resting state; fMRI; Noise correction; Nuisance regression; Connectivity
Online Access:	https://eprints.nottingham.ac.uk/41479/

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