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Prospective motion correction improves the sensitivity of fMRI pattern decoding.

Published version
Peer-reviewed

Type

Article

Change log

Authors

Carlin, Johan D 
Alink, Arjen 
Kriegeskorte, Nikolaus 
Henson, Richard N 

Abstract

We evaluated the effectiveness of prospective motion correction (PMC) on a simple visual task when no deliberate subject motion was present. The PMC system utilizes an in-bore optical camera to track an external marker attached to the participant via a custom-molded mouthpiece. The study was conducted at two resolutions (1.5 mm vs 3 mm) and under three conditions (PMC On and Mouthpiece On vs PMC Off and Mouthpiece On vs PMC Off and Mouthpiece Off). Multiple data analysis methods were conducted, including univariate and multivariate approaches, and we demonstrated that the benefit of PMC is most apparent for multi-voxel pattern decoding at higher resolutions. Additional testing on two participants showed that our inexpensive, commercially available mouthpiece solution produced comparable results to a dentist-molded mouthpiece. Our results showed that PMC is increasingly important at higher resolutions for analyses that require accurate voxel registration across time.

Description

Keywords

fMRI analysis, linear discriminant contrast, pattern decoding, prospective motion correction, Adult, Artifacts, Functional Neuroimaging, Head Movements, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Pattern Recognition, Automated, Pattern Recognition, Visual, Sensitivity and Specificity, Support Vector Machine, Visual Cortex

Journal Title

Hum Brain Mapp

Conference Name

Journal ISSN

1065-9471
1097-0193

Volume Title

39

Publisher

Wiley
Sponsorship
MRC (unknown)
Medical Research Council (MC_UU_00005/8)
Medical Research Council (MC_UU_00005/14)
A*STAR
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