In each analysis, we tested normality of the data by means of the Shapiro–Wilk test that did not confirm normality for some groups. For this reason, we chose non-parametric testing. Thus, for the CFT structures, for each dominant hand, we compared the signal intensities of the left and right CFT structures by Mann–Whitney U testing. We calculated peak signal intensity as the ratio of results of the left to right hemispheres (right/left). For hand motor function scores, grip and pinch strengths, and scores of speed and accuracy, we calculated test scores of TT as an asymmetry index ([right − left]/[left + right]). We did a second analysis to confirm whether every index reflected the effect of handedness, and we compared the right- and left-handed groups by Mann–Whitney U testing. The magnitude of the effect size (r) was named “small” at 0.1 or greater, “medium” at 0.3 or greater, and “large” at 0.5 or greater18 . To confirm the relationship between the signal intensity values of the CFT structures and the hand motor functions, we did a simple linear regression of the asymmetry indices of hand motor function against the signal intensity ratios of the CFT structures as the independent variables as a third analysis, and we did the same for each gender separately as a fourth analysis. We used SPSS Statistic 29.0 (IBM, Japan) for the analysis with the significance level set at less than 5%.
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