Fig. 4: Correlation between low PDiv and ability to detect significant difference between anaesthesia and test–retest.
From: Systematic evaluation of fMRI data-processing pipelines for consistent functional connectomics
Left: Cambridge anaesthesia dataset (Spearman’s ρ = 0.27, p = 4.4 × 10−14, two-sided). Right: western anaesthesia dataset (Spearman’s ρ = 0.34, p = 2.2 × 10−16, two-sided). The t-scores are obtained from permutation-based two-sample t-tests comparing PDiv from test–retest NYU short, against PDiv from awake vs anaesthesia. Horizontal red lines indicate t ± 1.96 from two-sample t-test (two-sided), corresponding to a statistically significant difference between the two groups’ mean, with negative t-scores corresponding to PDiv (anaesthesia) > PDiv (test–retest). Each data-point represents one pipeline (n = 768). Green dots indicate pipelines that produce the expected effect in both datasets. Red triangles indicate pipelines that produce a misleading effect in both datasets. PDiv Portrait Divergence. Shading indicates standard error of the fitted line to model the linear relationship between the two respective variables. Source data are provided as a Source Data file.
