Functional Hypergraph Uncovers Novel Covariant Structures over Neurodevelopment
Shi Gu, Muzhi Yang, John D. Medaglia, Ruben C. Gur, Raquel E. Gur,, Theodore D. Satterthwaite, Danielle S. Bassett

TL;DR
This study introduces a hypergraph approach to analyze adolescent brain development, revealing distinct sub-network classes and their evolution, providing a new perspective on functional brain network topology during neurodevelopment.
Contribution
The paper applies a novel hypergraph method to resting-state fMRI data, uncovering three classes of sub-networks and their developmental trajectories, which differ from traditional network analyses.
Findings
Identified three classes of hyperedges: clusters, bridges, and stars.
Cluster hyperedges align with known functional modules.
Developmental changes are most prominent in core network hyperedges.
Abstract
Brain development during adolescence is marked by substantial changes in brain structure and function, leading to a stable network topology in adulthood. However, most prior work has examined the data through the lens of brain areas connected to one another in large-scale functional networks. Here, we apply a recently-developed hypergraph approach that treats network connections (edges) rather than brain regions as the unit of interest, allowing us to describe functional network topology from a fundamentally different perspective. Capitalizing on a sample of 780 youth imaged as part of the Philadelphia Neurodevelopmental Cohort, this hypergraph representation of resting-state functional MRI data reveals three distinct classes of sub-networks (hyperedges): clusters, bridges, and stars, which represent spatially distributed, bipartite, and focal architectures, respectively. Cluster…
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Taxonomy
TopicsFunctional Brain Connectivity Studies · Mental Health Research Topics · Advanced Neuroimaging Techniques and Applications
