BPI-GNN: Interpretable brain network-based psychiatric diagnosis and subtyping.

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作者： Kaizhong,Zheng ^[1] ; Shujian,Yu ^[2] ; Liangjun,Chen ^[3] ; Lujuan,Dang ^[4] ; Badong,Chen ^[5]

作者单位： National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China. Electronic address: kzzheng@stu.xjtu.edu.cn. ^[1] Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands; Machine Learning Group, UiT - Arctic University of Norway, Tromsø, Norway. Electronic address: yusj9011@gmail.com. ^[2] National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China. Electronic address: liangjunchen@xjtu.edu.cn. ^[3] National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China. Electronic address: danglj@xjtu.edu.cn. ^[4] National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China. Electronic address: chenbd@mail.xjtu.edu.cn. ^[5]

关键词 Brain network Functional magnetic resonance imaging (fMRI)Graph neural network (GNN)Prototype learning Psychiatric diagnosis Psychiatric subtypes