Simultaneous non-Gaussian component analysis (SING) for data integration in neuroimaging

@article{Risk2021SimultaneousNC,
  title={Simultaneous non-Gaussian component analysis (SING) for data integration in neuroimaging},
  author={Benjamin B. Risk and Irina Gaynanova},
  journal={The Annals of Applied Statistics},
  year={2021}
}
As advances in technology allow the acquisition of complementary information, it is increasingly common for scientific studies to collect multiple datasets. Large-scale neuroimaging studies often include multiple modalities (e.g., task functional MRI, resting-state fMRI, diffusion MRI, and/or structural MRI), with the aim to understand the relationships between datasets. In this study, we seek to understand whether regions of the brain activated in a working memory task relate to resting-state… Expand

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