Brain Functional Connectivity Analysis via Graphical Deep Learning

IEEE Transactions on Biomedical Engineering(2022)

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摘要
Objective: Graphical deep learning models provide a desirable way for brain functional connectivity analysis. However, the application of current graph deep learning models to brain network analysis is challenging due to the limited sample size and complex relationships between different brain regions. Method: In this work, a graph convolutional network (GCN) based framework is propo...
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关键词
Laplace equations,Brain modeling,Functional magnetic resonance imaging,Cognition,Deep learning,Time series analysis,Correlation
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