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Brain Connect. 2017 Oct;7(8):482-490. doi: 10.1089/brain.2016.0465.

Effects of Tissue-Specific Functional Magnetic Resonance Imaging Signal Regression on Resting-State Functional Connectivity.

Author information

1
1 McConnell Brain Imaging Centre, McGill University , Montreal, Canada .
2
2 Neuroimaging Center, University of Groningen , Groningen, The Netherlands .
3
3 Magnetic Resonance Research Center (MRRC), Yale University , New Haven, Connecticut.
4
4 Department of Radiology and Biomedical Imaging, Yale University , New Haven, Connecticut.
5
5 Department of Biomedical Engineering, Yale University , New Haven, Connecticut.
6
6 Quantitative Neuroscience with Magnetic Resonance (QNMR) Core Center, Yale University , New Haven, Connecticut.
7
7 iHuman Institute, ShanghaiTech University , Shanghai, China .

Abstract

Neuroimaging studies typically consider white matter as unchanging in different neural and metabolic states. However, a recent study demonstrated that white matter signal regression (WMSR) produced a similar loss of neurometabolic information to global (whole-brain) signal regression (GSR) in resting-state functional magnetic resonance imaging (R-fMRI) data. This was unexpected as the loss of information would normally be attributed to neural activity within gray matter correlating with the global R-fMRI signal. Indeed, WMSR has been suggested as an alternative to avoid such pitfalls in GSR. To address these concerns about tissue-specific regression in R-fMRI data analysis, we performed GSR, WMSR, and gray matter signal regression (GMSR) on R-fMRI data from the 1000 Functional Connectomes Project. We describe several regional and motion-related differences between different types of regressions. However, the overall effects of concern, particularly network-specific alteration of correlation coefficients, are present for all regressions. This suggests that tissue-specific regression is not an adequate strategy to counter pitfalls of GSR. Conversely, if GSR is desired, but the studied disease state excludes either gray matter or white matter from analysis (e.g., due to tissue atrophy), our results indicate that WMSR or GMSR may reproduce the gross effects of GSR.

KEYWORDS:

default mode; global signal; gray matter; motion; regression; white matter

PMID:
28825320
PMCID:
PMC5653143
DOI:
10.1089/brain.2016.0465
[Indexed for MEDLINE]
Free PMC Article

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