FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation

@article{Kan2022FBNETGENTG,
  title={FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation},
  author={Xuan Kan and Hejie Cui and Joshua D Lukemire and Ying Guo and Carl Yang},
  journal={ArXiv},
  year={2022},
  volume={abs/2205.12465}
}
Functional magnetic resonance imaging (fMRI) is one of the most common imaging modalities to investigate brain functions. Recent studies in neuroscience stress the great potential of functional brain networks constructed from fMRI data for clinical predictions. Traditional functional brain networks, however, are noisy and unaware of downstream prediction tasks, while also incompatible with the deep graph neural network (GNN) models. In order to fully unleash the power of GNNs in network-based… 

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