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Multi-Bands Joint Graph Convolution EEG Functional Connectivity Network for Predicting Mental Disorders

Cancheng Li Shengbo Gao Jicong Zhang

众智科学（英文）2024，Vol.8Issue(2)：65-70,6.

众智科学（英文）2024，Vol.8Issue(2)：65-70,6.DOI:10.26599/IJCS.2024.9100003

Multi-Bands Joint Graph Convolution EEG Functional Connectivity Network for Predicting Mental Disorders

Cancheng Li ¹Shengbo Gao ²Jicong Zhang³

作者信息

1. 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,China
2. School of Biological Science and Medical Engineering,Beihang University,Beijing 100083,China
3. 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,China||Hefei Innovation Research Institute,Beihang University,Beijing 100083,China
折叠

摘要

关键词

functional connectivity(FC)/graph convolution network(GCN)/electroencephalogram(EEG)/mental disorder/individual predictions

Key words

functional connectivity(FC)/graph convolution network(GCN)/electroencephalogram(EEG)/mental disorder/individual predictions

引用本文复制引用

Cancheng Li,Shengbo Gao,Jicong Zhang..Multi-Bands Joint Graph Convolution EEG Functional Connectivity Network for Predicting Mental Disorders[J].众智科学（英文）,2024,8(2):65-70,6.

基金项目

This work was supported by the Beijing Natural Science Foundation(No.Z200024)and University Synergy Innovation Program of Anhui Province(No.GXXT2019-044). （No.Z200024）

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