Predicting the brain response to treatment using a Bayesian hierarchical model with application to a study of schizophrenia.

@article{Guo2008PredictingTB,
  title={Predicting the brain response to treatment using a Bayesian hierarchical model with application to a study of schizophrenia.},
  author={Ying Guo and F DuBois Bowman and Clinton Kilts},
  journal={Human brain mapping},
  year={2008},
  volume={29 9},
  pages={1092-109}
}
In vivo functional neuroimaging, including functional magnetic resonance imaging (fMRI) and positron emission tomography (PET), is becoming increasingly important in defining the pathophysiology of psychiatric disorders such as schizophrenia, major depression, and Alzheimer's disease. Furthermore, recent studies have begun to investigate the possibility of using functional neuroimaging to guide treatment selection for individual patients. By studying the changes between a patient's pre- and… CONTINUE READING