Fig. 9: Illustration of NCT usage to explore network correspondence between user-defined input data and multiple atlases: UKB Example 1. | Nature Communications

Fig. 9: Illustration of NCT usage to explore network correspondence between user-defined input data and multiple atlases: UKB Example 1.

From: A network correspondence toolbox for quantitative evaluation of novel neuroimaging results

Fig. 9: Illustration of NCT usage to explore network correspondence between user-defined input data and multiple atlases: UKB Example 1.The alternative text for this image may have been generated using AI.

In this example, we explore overlap between UKB ICA component 5 and 8 representative atlases. The UKB ICA z-stat maps with 21 good components (https://www.fmrib.ox.ac.uk/ukbiobank/group_means/rfMRI_GoodComponents_d25_v1.txt) were thresholded by FSL melodic mixture-modeling threshold 0.6. The component 16 corresponds to the cerebellum and was further excluded, resulting in 20 thresholded UKB ICA maps. The 20 thresholded UKB ICA maps can be found in Supplementary Fig. 1. The NCT also provides a summary table showing the exact Dice coefficients and p-values for all atlases (Supplementary Table 5). Med medial, vis visual, lat lateral, prim,primary, cing cingulo, operc opercular, SM somatomotor, dors dorsal, attn attention, par parietal, front,frontal, post posterior, ant anterior, MTL medial temporal lobe.

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