We employed the Convex Optimization Modeling for Microstructure Informed Tractography (COMMIT) approach to construct microstructure-informed connectomes and study the distinct patterns of age-related development in structural whole-brain network and sub-networks using global graph metrics. Whole brain analyses showed that with the new edge-weighting, the shortest-path length between all pairs of nodes decreases with age and thus efficiency increases. This reduction in shortest-path length is probably driven by previously reported age-related increases in the intra-axonal signal fraction. Sub-networks analyses revealed unique visual network characteristics over development and confirmed previously observed maturational pattern of posterior regions across childhood and adolescence.
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