Enhancing depression diagnosis with augmented brain signal driven decorrelated graph neural networks

This study underscores the potential of graph methods to advance diagnostic precision for MDD. By integrating gender-specific and stage-wise insights, our framework equips medical professionals and researchers to design personalized and targeted therapeutic strategies, offering transformative implications for patient care.