Before revision:  Subsequently, we construct a statistical framework to highlight brain connections that are selected with probability well above chanceand we estimate their sCCA loadings based on a de-noising approach  .
After revision:  Subsequently, we construct a statistical framework to highlight brain connections that are selected with probability well above chanceand we estimate their sCCA loadings based on a de-noising approach that improves the estimation of the coefficients. We validate our approach based on resting-state fMRI and diffusion weighted MRI data. Quantitative validation of the prediction performance shows superior performance, whereas qualitative results of the identification process are promising .