Prediction of Functional Connectivity from Structural Brain Connectivity

Fani Deligianni¹, Emma C. Robinson¹, Christian F. Beckmann¹, David Sharp¹, A. David Edwards¹, Daniel Rueckert¹

Studies that examine the relationship of functional and structural connectivity are important in interpreting neurophysiological data. Although, a linear relationship between functional and structural connectivity has been demonstrated, there is no explicit attempt to quantitatively measure how well functional data can be predicted from structural data. Here, we predict functional connectivity from structural connectivity by utilizing a predictive model based on principal component analysis (PCA) and canonical correlation analysis (CCA).