Multi-Bands Joint Graph Convolution EEG Functional Connectivity Network for Predicting Mental DisordersOA
Multi-Bands Joint Graph Convolution EEG Functional Connectivity Network for Predicting Mental Disorders
Cancheng Li;Shengbo Gao;Jicong Zhang
School of Biological Science and Medical Engineering,Beihang University,Beijing 100083,China||Beijing Advanced Innovation Centre for Big Data Based Precision Medicine,Beihang University,Beijing 100083,China||Beijing Advanced Innovation Centre for Biomedical Engineering,Beihang University,Beijing 100083,ChinaSchool of Biological Science and Medical Engineering,Beihang University,Beijing 100083,ChinaSchool of Biological Science and Medical Engineering,Beihang University,Beijing 100083,China||Beijing Advanced Innovation Centre for Big Data Based Precision Medicine,Beihang University,Beijing 100083,China||Beijing Advanced Innovation Centre for Biomedical Engineering,Beihang University,Beijing 100083,China||Hefei Innovation Research Institute,Beihang University,Beijing 100083,China
functional connectivity(FC)graph convolution network(GCN)electroencephalogram(EEG)mental disorderindividual predictions
functional connectivity(FC)graph convolution network(GCN)electroencephalogram(EEG)mental disorderindividual predictions
《众智科学（英文）》 2024 (2)
65-70,6
This work was supported by the Beijing Natural Science Foundation(No.Z200024)and University Synergy Innovation Program of Anhui Province(No.GXXT2019-044).
评论