Reduction of motion-related artifacts in resting state fMRI using aCompCor.

Abstract:

:Recent studies have illustrated that motion-related artifacts remain in resting-state fMRI (rs-fMRI) data even after common corrective processing procedures have been applied, but the extent to which head motion distorts the data may be modulated by the corrective approach taken. We compare two different methods for estimating nuisance signals from tissues not expected to exhibit BOLD fMRI signals of neuronal origin: 1) the more commonly used mean signal method and 2) the principal components analysis approach (aCompCor: Behzadi et al., 2007). Further, we investigate the added benefit of "scrubbing" (Power et al., 2012) following both methods. We demonstrate that the use of aCompCor removes motion artifacts more effectively than tissue-mean signal regression. In addition, inclusion of more components from anatomically defined regions of no interest better mitigates motion-related artifacts and improves the specificity of functional connectivity estimates. While scrubbing further attenuates motion-related artifacts when mean signals are used, scrubbing provides no additional benefit in terms of motion artifact reduction or connectivity specificity when using aCompCor.

journal_name

Neuroimage

journal_title

NeuroImage

authors

Muschelli J,Nebel MB,Caffo BS,Barber AD,Pekar JJ,Mostofsky SH

doi

10.1016/j.neuroimage.2014.03.028

subject

Has Abstract

pub_date

2014-08-01 00:00:00

pages

22-35

eissn

1053-8119

issn

1095-9572

pii

S1053-8119(14)00175-X

journal_volume

96

pub_type

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