<ul><li>Researchers have developed an approach to integrate and interpret multimodal neuroimaging data within a cohesive analytical framework.</li><li>The study combines functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI), and structural MRI (sMRI) to understand brain connectivity and anatomical characteristics.</li><li>Using a masking strategy, the model differentially weighs neural connections to enhance interpretability at the connectivity level.</li><li>The approach was applied to the Human Connectome Project's Development study, revealing associations between multimodal imaging and cognitive functions in youth.</li></ul>

Integrated Brain Connectivity Analysis with fMRI, DTI, and sMRI Powered by Interpretable Graph Neural Networks

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