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Abstract #2394

Regression does not Eliminate the Effects of Nuisance terms in Dynamic Functional Connectivity Estimates

Alican Nalci1 and Thomas T. Liu1

1UCSD Center for Functional MRI, La Jolla, CA, United States

Nuisance regression is commonly used in dynamic functional connectivity (DFC) studies to reduce the influence of nuisance factors, such as head motion or physiological activity. Here, we show that DFC estimates before nuisance regression are significantly correlated with the norms of various nuisance terms. Furthermore, we find that nuisance regression does not eliminate the correlations between DFC estimates and the nuisance norms.

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