TY - JOUR T1 - Multi-modal and multi-subject modular organization of human brain networks JF - bioRxiv DO - 10.1101/2022.01.26.477897 SP - 2022.01.26.477897 AU - Maria Grazia Puxeddu AU - Joshua Faskowitz AU - Olaf Sporns AU - Laura Astolfi AU - Richard F. Betzel Y1 - 2022/01/01 UR - http://biorxiv.org/content/early/2022/01/27/2022.01.26.477897.abstract N2 - The human brain is a complex network of anatomically interconnected brain areas. Spontaneous neural activity is constrained by this architecture, giving rise to patterns of statistical dependencies between the activity of remote neural elements. The non-trivial relationship between structural and functional connectivity poses many unsolved challenges about cognition, disease, development, learning and aging. While numerous studies have focused on statistical relationships between edge weights in anatomical and functional networks, less is known about dependencies between their modules and communities. In this work, we investigate and characterize the relationship between anatomical and functional modular organization of the human brain, developing a novel multi-layer framework that expands the classical concept of multi-layer modularity optimization. By simultaneously mapping anatomical and functional networks estimated from different subjects into communities, this approach allows us to carry out a multi-subject and multi-modal analysis of the brain’s modular organization. Here, we investigate the relationship between anatomical and functional modules during resting state, finding unique and shared structures. The proposed framework constitutes a methodological advance in the context of multi-layer network analysis and paves the way to further investigate the relationship between structural and functional network organization in clinical cohorts, during cognitively demanding tasks, and in developmental or lifespan studies.Competing Interest StatementThe authors have declared no competing interest. ER -