| Literature DB >> 28917698 |
Matteo Mancini1, Giovanni Giulietti2, Nicholas Dowell3, Barbara Spanò2, Neil Harrison3, Marco Bozzali4, Mara Cercignani4.
Abstract
Microstructural imaging and connectomics are two research areas that hold great potential for investigating brain structure and function. Combining these two approaches can lead to a better and more complete characterization of the brain as a network. The aim of this work is characterizing the connectome from a novel perspective using the myelination measure given by the g-ratio. The g-ratio is the ratio of the inner to the outer diameters of a myelinated axon, whose aggregated value can now be estimated in vivo using MRI. In two different datasets of healthy subjects, we reconstructed the structural connectome and then used the g-ratio estimated from diffusion and magnetization transfer data to characterize the network structure. Significant characteristics of g-ratio weighted graphs emerged. First, the g-ratio distribution across the edges of the graph did not show the power-law distribution observed using the number of streamlines as a weight. Second, connections involving regions related to motor and sensory functions were the highest in myelin content. We also observed significant differences in terms of the hub structure and the rich-club organization suggesting that connections involving hub regions present higher myelination than peripheral connections. Taken together, these findings offer a characterization of g-ratio distribution across the connectome in healthy subjects and lay the foundations for further investigating plasticity and pathology using a similar approach.Keywords: Connectome; Diffusion weighted imaging; Graph theory; Microstructure; Myelin; Structural connectivity; g-ratio
Mesh:
Year: 2017 PMID: 28917698 DOI: 10.1016/j.neuroimage.2017.09.018
Source DB: PubMed Journal: Neuroimage ISSN: 1053-8119 Impact factor: 6.556