Fig. 7: Sparse canonical correlation analyses (SCCA) between functional domains, and deviation scores from faces>shapes or faces>baseline normative models within task positive regions. | Communications Biology

Fig. 7: Sparse canonical correlation analyses (SCCA) between functional domains, and deviation scores from faces>shapes or faces>baseline normative models within task positive regions.

From: Dissecting task-based fMRI activity using normative modelling: an application to the Emotional Face Matching Task

Fig. 7

Weights per factor to latent variable of psycho-social functioning (a, d). Canonical correlation between 4 functional domains and deviation scores from (b) faces>shapes and (e) faces>baseline normative models (regularisation 10%) within task positive regions (whole-brain maps masked by a HCP Young Adult group level T-statistic map thresholded at t > 3.6). Box plot whiskers (error bars) show 1.5 times the interquartile range from the lower or upper quartile. Mean voxel-wise weights to latent variable of deviation scores from (c) faces>shapes normative models and from (f) faces>baseline. All results are statistically significant with 1000-fold permutation tests (*** = p < 0.001).

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