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Orthogonal Sparse Subgraph Alignment for Structure-Function Coupling in Brain Networks

NeurIPS 2026 · Probabilistic and scientific modeling › Dynamical systems · approach: Functional connectivity modeling

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Proposes an orthogonal sparse subgraph alignment method to model structure-function coupling in human brain networks, targeting spatially heterogeneous, subnetwork-localized coupling.

Problem

Characterizing the relationship between anatomical wiring (structural connectivity) and functional coordination (functional connectivity) in the human brain is hard because coupling is spatially heterogeneous, localized to subnetworks, and difficult to align across modalities.

Approach

Aligns structural and functional brain networks through orthogonal sparse subgraph alignment, so that coupling is captured at the level of localized subnetworks rather than a global mapping. Details beyond the abstract are not available.

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