Prospective motion correction improves the sensitivity of fMRI pattern decoding. Issue 10 (8th June 2018)

• Record Type: Journal Article
• Authors: Huang, Pei; Carlin, Johan D.; Alink, Arjen; Kriegeskorte, Nikolaus; Henson, Richard N.; Correia, Marta M.
• Is Part Of: Human brain mapping. Volume 39:Issue 10(2018)
• Page Start: 4018
• Page End: 4031
• Publication Date: 2018-06-08
• Subjects: fMRI analysis -- linear discriminant contrast -- pattern decoding -- prospective motion correction; Brain mapping -- Periodicals; 611.81
• DOI: 10.1002/hbm.24228
• Languages: English
• ISSNs: 1065-9471

Abstract

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.