Noise contributions to the fMRI signal: An overview

The ability to discriminate signal from noise plays a key role in the analysis and interpretation of functional magnetic resonance imaging (fMRI) measures of brain activity. Over the past two decades, a number of major sources of noise have been identified, including system-related instabilities, su...

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Bibliographic Details
Published inNeuroImage (Orlando, Fla.) Vol. 143; pp. 141 - 151
Main Author Liu, Thomas T.
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.12.2016
Elsevier Limited
Subjects
Acquisitions & mergers
FMRI
Functional Neuroimaging - standards
General linear model
Humans
Magnetic Resonance Imaging - standards
Motion
NMR
Noise
Noise sources
Nuclear magnetic resonance
Physiological noise
Physiology
Time series
Physiological noise
Motion
General linear model
Noise sources
FMRI
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Summary:The ability to discriminate signal from noise plays a key role in the analysis and interpretation of functional magnetic resonance imaging (fMRI) measures of brain activity. Over the past two decades, a number of major sources of noise have been identified, including system-related instabilities, subject motion, and physiological fluctuations. This article reviews the characteristics of the various noise sources as well as the mechanisms through which they affect the fMRI signal. Approaches for distinguishing signal from noise and the associated challenges are also reviewed. These challenges reflect the fact that some noise sources, such as respiratory activity, are generated by the same underlying brain networks that give rise to functional signals that are of interest.
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ISSN:1053-8119
1095-9572
DOI:10.1016/j.neuroimage.2016.09.008