Learning Structural-Functional Brain Representations through Multi-Scale Adaptive Graph Attention for Cognitive Insight
通过多尺度自适应图注意力学习结构-功能脑表示以获得认知洞察
机构 * Georgia State University(佐治亚州立大学) ; Georgia Institute of Technology(佐治亚理工学院) ; Emory University(埃默里大学) ; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS)(三机构神经影像与数据科学转化研究中心 (TReNDS))
AI总结 本文提出MAGNet框架,通过多尺度自适应图注意力机制融合结构和功能脑网络,提升认知功能理解。
Comments Preprint version of the paper accepted to the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2026). This is the author's accepted manuscript. The final published version will appear in IEEE Xplore