[Article] BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis.

summary : They proposed BrainGNN, which is a graph neural network framework to analyze fMRI and discover neurological biomarkers. BrainGNN contains novel ROI-aware graph convolutional (Ra-GConv) layers that leverage the topological and functional information of fMRI. They applied the BrainGNN framework on two independent fMRI datasets(ASD fMRI dataset and HCP 900 subject release).

Li, Xiaoxiao, et al. “Braingnn: Interpretable brain graph neural network for fmri analysis.” Medical Image Analysis 74 (2021): 102233.