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.
Highlights
ObjectivesThe goal of this study was to evaluate the performance of the prospective motion correction (PMC) system for a standard fMRI experiment and its impact on the quality of the data obtained
A representative slice through the tSNR map of one participant is shown as an inset for each condition resolutions (Supporting Information, Table S6). This analysis confirmed that the radial bias regions of interest (ROIs) had a higher linear discriminant contrast (LDC) than the entire V1 and the no radial bias ROI (p 5 .0055 and p 5 .0296, Tukey’s honest significant difference (HSD) test)
We showed that in the regime of our data, LDC is more sensitive to fluctuations in Functional contrast-to-noise ratio (fCNR), and more likely to detect improvements by prospective motion correction (PMC) compared to support vector machines (SVM)
Summary
The goal of this study was to evaluate the performance of the PMC system for a standard fMRI experiment and its impact on the quality of the data obtained
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