Similarity between structural and proxy estimates of brain connectivity

• Published in: Journal of cerebral blood flow and metabolism Vol. 44; no. 2; pp. 284 - 295
• Main Authors: Lizarraga, Aldana, Ripp, Isabelle, Sala, Arianna, Shi, Kuangyu, Düring, Marco, Koch, Kathrin, Yakushev, Igor
• Format: Journal Article Web Resource
• Language: English
• Published: London, England SAGE Publications 01.02.2024; SAGE Publications Ltd
• Subjects: Brain - pathology; Brain Mapping; Cardiology and Cardiovascular Medicine; Connectome - methods; Diffusion Magnetic Resonance Imaging; Diffusion Tensor Imaging; DWI; Fluorodeoxyglucose F18; fMRI; functional connectivity; Humans; Magnetic Resonance Imaging - methods; Middle Aged; molecular connectivity; multimodal imaging; Neurology; Neurology (clinical); Neurosciences & behavior; Neurosciences & comportement; Original; Sciences sociales & comportementales, psychologie; Social & behavioral sciences, psychology; fMRI; functional connectivity; molecular connectivity; multimodal imaging; DWI
• ISSN: 0271-678X; 1559-7016; 1559-7016
• DOI: 10.1177/0271678X231204769

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 (FDGcov) and grey matter volume (GMVcov). Here, we asked to what extent SC underlies three proxy estimates of brain connectivity: FC, FDGcov and GMVcov. 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-FDGcov, and 0.15 for SC-GMVcov. Mean CRs were 51% for SC-FC, 48% for SC-FDGcov, and 37% for SC-GMVcov. These results proved to be reproducible and robust against image processing steps. In sum, we found a relevant similarity of SC with FC and FDGcov, while GMVcov consistently showed the weakest similarity. These findings indicate that white matter tracts underlie FDGcov to a similar degree as FC, supporting FDGcov as estimate of functional brain connectivity.