title: A dual echo approach to removing motion artefacts in fMRI time series.
abstract: In fMRI, subject motion can severely affect data quality. This is a particular problem when movement is correlated with the experimental paradigm as this potentially causes artefactual activation. A method is presented that uses linear regression, to utilise the time course of an image acquired at very short echo time (TE) as a voxel-wise regressor for a second image in the same echo train, that is acquired with high BOLD sensitivity. The value of this approach is demonstrated using task-locked motion combined with visual stimulation. Results obtained at both 1.5 and 3 T show improvements in functional activation maps for individual subjects. The method is straightforward to implement, does not require extra scan time and can easily be embedded in a multi-echo acquisition framework.
authors.affiliation: Donders Institute for Brain, Cognition and Behaviour, Donders Centre for Cognitive Neuroimaging, Radboud University Nijmegen, Nijmegen, The Netherlands. p.buur@donders.ru.nl
authors.forename: Pieter F
authors.initials: PF
authors.lastname: Buur
authors.forename: Benedikt A
authors.initials: BA
authors.lastname: Poser
authors.forename: David G
authors.initials: DG
authors.lastname: Norris
mesh_terms: D016477:Artifacts; D001931:Brain Mapping; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009068:Movement / Q000502:physiology*; D012399:Rotation; D013997:Time Factors