A Dual Cross-Attention Graph Learning Framework For Multimodal MRI-Based Major Depressive Disorder Detection

ArXi:2604.10116v1 Announce Type: cross Major depressive disorder (MDD) is a prevalent mental disorder associated with complex neurobiological changes that cannot be fully captured using a single imaging modality. The use of multimodal magnetic resonance imaging (MRI) provides a comprehensive understanding of brain changes by combining structural and functional data. Despite this, the effective integration of these modalities remains challenging.