Prospective motion correction improves the sensitivity of fMRI pattern decoding.


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