The four classes of RF motion trajectory shapes (i.e., RF2, RF3, RF4, and RF5) could be distinguished with accuracies significantly above the chance level of 25% within visual regions V2 and V3 in both hemispheres (i.e., with a mean classification accuracy of the test data meeting or exceeding the 95th percentile of the distribution obtained via permutation testing; see
Figure 6). The number of individual participants in which a significant result was obtained by the classifier in each region of interest is shown in
Figure 7. Group mean classification accuracy percentages (± standard deviation) were 40.8 ± 3.6 in left hemisphere V2, 41.4 ± 4.4 in right V2, 41.2 ± 2.8 in left V3, and 40.0 ± 3.5 in right V3.
In addition to examining each of the regions of interest within a single hemisphere, regions were also combined between hemispheres. However, for each region of interest, one-way ANOVAs comparing classification accuracies obtained for left hemisphere, right hemisphere, and regions combined across hemispheres revealed no significant differences as a result of combining regions, V1, F(2, 27) = 1.08, p = 0.35; V2, F(2, 27) = 0.481, p = 0.62; V3, F(2, 27) = 0.54, p = 0.59; V3A, F(2, 27) = 1.73, p = 0.20; V4, F(2, 27) = 0.30, p = 0.74; MT, F(2, 27) = 1.82, p = 0.18; STS, F(2, 27) = 1.31, p = 0.29.