Dataset Information

Similarity between structural and proxy estimates of brain connectivity.

ABSTRACT: 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.

SUBMITTER: Lizarraga A

PROVIDER: S-EPMC10993877 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Similarity between structural and proxy estimates of brain connectivity.

Lizarraga Aldana A Ripp Isabelle I Sala Arianna A Shi Kuangyu K Düring Marco M Koch Kathrin K Yakushev Igor I

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism 20230929 2

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<sub>cov</sub>) and grey matter volume (GMV<sub>cov</s ...[more]

PMID: 37773727

Similar Datasets

Project description:The idea that structural white matter connectivity constrains functional connectivity (interactions among brain regions) has widely been explored in studies of brain networks; studies have mostly focused on the "average" strength of functional connectivity. The question of how structural connectivity constrains the "variability" of functional connectivity remains unresolved. In this study, we investigated the variability of resting state functional connectivity that was acquired every 3 h within a single day from 12 participants (eight time sessions within a 24-h period, 165 scans per session). Three different types of functional connectivity (functional connectivity based on Pearson correlation, direct functional connectivity based on partial correlation, and the pseudo functional connectivity produced by their difference) were estimated from resting state functional magnetic resonance imaging data along with structural connectivity defined using fiber tractography of diffusion tensor imaging. Those types of functional connectivity were evaluated with regard to properties of structural connectivity (fiber streamline counts and lengths) and types of structural connectivity such as intra-/inter-hemispheric edges and topological edge types in the rich club organization. We observed that the structural connectivity constrained the variability of direct functional connectivity more than pseudo-functional connectivity and that the constraints depended strongly on structural connectivity types. The structural constraints were greater for intra-hemispheric and heterologous inter-hemispheric edges than homologous inter-hemispheric edges, and feeder and local edges than rich club edges in the rich club architecture. While each edge was highly variable, the multivariate patterns of edge involvement, especially the direct functional connectivity patterns among the rich club brain regions, showed low variability over time. This study suggests that structural connectivity not only constrains the strength of functional connectivity, but also the within-a-day variability of functional connectivity and connectivity patterns, particularly the direct functional connectivity among brain regions.

Dataset Information

Similarity between structural and proxy estimates of brain connectivity.

Publications

Similarity between structural and proxy estimates of brain connectivity.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets