Relative Strength Variability Measures for Brain Structural Connectomes and Their Relationship With Cognitive Functioning.

ABSTRACT: In this work, we propose a new class of graph measures for weighted connectivity information in the human brain based on node relative strengths: relative strength variability (RSV), measuring susceptibility to targeted attacks, and hierarchical RSV (hRSV), a first weighted statistical complexity measure for networks. Using six different network weights for structural connectomes from the UK Biobank, we conduct comprehensive analyses to explore relationships between the RSV and hRSV, and (i) other known network measures, (ii) general cognitive function (' g$$ g $$ '). Both measures exhibit low correlations with other graph measures across all connectivity weightings indicating that they capture new information of the brain connectome. We found higher g$$ g $$ was associated with lower RSV

SUBMITTER: Yeung HW 

PROVIDER: S-EPMC12326445 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature