Similarity between structural and proxy estimates of brain connectivity.

Functional magnetic resonance and diffusion weighted imaging have so far made a major contribution to delineation of the brain connectome at the macroscale. While functional connectivity (FC) was shown to be related to structural connectivity (SC) to a certain degree, their spatial overlap is unknown. Even less clear are relations of SC with estimates of connectivity from inter-subject covariance of regional F18-fluorodeoxyglucose uptake (FDG cov ) and grey matter volume (GMV cov ). Here, we asked to what extent SC underlies three proxy estimates of brain connectivity: FC, FDG cov and GMV cov . Simultaneous PET/MR acquisitions were performed in 56 healthy middle-aged individuals. Similarity between four networks was assessed using Spearman correlation and convergence ratio (CR), a measure of spatial overlap. Spearman correlation coefficient was 0.27 for SC-FC, 0.40 for SC-FDG cov , and 0.15 for SC-GMV cov . Mean CRs were 51% for SC-FC, 48% for SC-FDG cov , and 37% for SC-GMV cov . These results proved to be reproducible and robust against image processing steps. In sum, we found a relevant similarity of SC with FC and FDG cov , while GMV cov consistently showed the weakest similarity. These findings indicate that white matter tracts underlie FDG cov to a similar degree as FC, supporting FDG cov as estimate of functional brain connectivity.