Fig. 6

Surface morphometries measured in unseen datasets. To examine if FastCSR is generalizable to unseen datasets, we applied this method to the previously unseen ABIDE-II dataset with T1w images at 1.0-mm resolution and the HCP dataset with 0.7-mm resolution images. These data were also processed using the FreeSurfer pipeline. Cortical thickness and sulcal depth were estimated. a The average cortical thickness maps obtained from FreeSurfer (left) versus FastCSR (right) in the ABIDE-II dataset are similar, with only 0.07% of the vertices demonstrating significant difference (two-tailed paired t-tests, p < 0.01, FDR corrected). b For the HCP dataset, the average cortical thickness maps derived from FreeSurfer and FastCSR are also similar, with only 2.16% of the vertices showing significant difference (two-tailed paired t-tests, p < 0.01, i.e., − log₁₀(p) > 2.0, FDR corrected). c The positive values in the sulcal depth maps indicate sulci (warm colors) and negative values indicate gyri (cool colors). For the ABIDE-II dataset, 2.44% of the vertices showed significant differences between the FreeSurfer and FastCSR method. Differences were mainly distributed in the insular cortices, the precentral gyrus, and the medial orbitofrontal cortices. d For the HCP dataset, 5.87% of the vertices showed significant difference in sulcal depth between FreeSurfer and FastCSR