The role of physiological noise in resting-state functional connectivity

Functional connectivity between different brain regions can be estimated from MRI data by computing the temporal correlation of low frequency (<0.1Hz) fluctuations in the MRI signal. These correlated fluctuations occur even when the subject is “at rest” (not asked to perform any particular task)...

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Bibliographic Details
Published inNeuroImage (Orlando, Fla.) Vol. 62; no. 2; pp. 864 - 870
Main Author Birn, Rasmus M.
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 15.08.2012
Elsevier Limited
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Summary:Functional connectivity between different brain regions can be estimated from MRI data by computing the temporal correlation of low frequency (<0.1Hz) fluctuations in the MRI signal. These correlated fluctuations occur even when the subject is “at rest” (not asked to perform any particular task) and result from spontaneous neuronal activity synchronized within multiple distinct networks of brain regions. This estimate of connectivity, however, can be influenced by physiological noise, such as cardiac and respiratory fluctuations. This brief review looks at the effect of physiological noise on estimates of resting-state functional connectivity, discusses ways to remove physiological noise, and provides a personal recollection of the early developments in these approaches. This review also discusses the importance of physiological noise correction and provides a summary of evidence demonstrating that functional connectivity does have a neuronal underpinning and cannot purely be the result of physiological noise.
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ISSN:1053-8119
1095-9572
1095-9572
DOI:10.1016/j.neuroimage.2012.01.016