Multivariate pattern dependence - Fig 3

<p>A) Comparison between statistical dependence measured with standard functional connectivity (‘univariate dependence’, blue), univariate dependence with leave-one-out predictions (red), and multivariate dependence with leave-one-out predictions (MVPD, yellow) at a voxelwise FWE-corrected threshold <i>p</i> < 0.05. Predicting independent data is a more stringent test of dependence: univariate dependence with leave-one-out predictions individuates fewer significant voxels than standard functional connectivity. Despite the stringent criterion imposed by independent predictions, MVPD with leave-one-out predictions outperforms both univariate dependence methods, identifying significant statistical dependence with regions of posterior cingulate and a broader extent of the superior temporal sulcus. B) Cross-validated R-squared with MVPD, thresholded at 20%.