A robust sparse-modeling framework for estimating schizophrenia biomarkers from fMRI.

@article{Dillon2017ARS,
  title={A robust sparse-modeling framework for estimating schizophrenia biomarkers from fMRI.},
  author={Keith Dillon and Vince D. Calhoun and Yu Ping Wang},
  journal={Journal of neuroscience methods},
  year={2017},
  volume={276},
  pages={46-55}
}
BACKGROUND Our goal is to identify the brain regions most relevant to mental illness using neuroimaging. State of the art machine learning methods commonly suffer from repeatability difficulties in this application, particularly when using large and heterogeneous populations for samples. NEW METHOD We revisit both dimensionality reduction and sparse… CONTINUE READING