[Article] Brain networks and intelligence: A graph neural network based approach to resting state fmri data

Summary: This study introduces BrainRGIN, a novel graph neural network (GNN) model designed to predict intelligence using resting-state fMRI data. By leveraging graph isomorphism networks and clustering-based embeddings, the model effectively captures brain sub-network structures. The authors validate their approach using the Adolescent Brain Cognitive Development Dataset and demonstrate superior predictive performance compared to traditional machine learning models.

Thapaliya, Bishal, et al. “Brain networks and intelligence: A graph neural network based approach to resting state fmri data.” Medical Image Analysis 101 (2025): 103433.