Connectome-constrained ligand-receptor interaction analysis for understanding brain network communication.

ABSTRACT: Both diffusion magnetic resonance imaging and transcriptomic technologies have provided unprecedented opportunities to dissect brain network communication, offering insights from structural connectivity and signaling molecules separately. However, incorporating these complementary modalities for characterizing the interregional communication remains challenging. By simplifying the communication processes into an optimal transport problem, which is defined as the ligand-receptor expression coupling constrained by structurally-derived communication cost, we develop a method called CLRIA (connectome-constrained ligand-receptor interaction analysis) to infer a low-rank representation of ligand-receptor interaction-mediated communication networks. To solve the proposed optimization problem, the

SUBMITTER: Du Z 

PROVIDER: S-EPMC12402162 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature