Automated classification of fMRI during cognitive control identifies more severely disorganized subjects with schizophrenia

@article{Yoon2012AutomatedCO,
  title={Automated classification of fMRI during cognitive control identifies more severely disorganized subjects with schizophrenia},
  author={Jong H. Yoon and Danh V. Nguyen and Lindsey Mcvay and Paul J Deramo and Michael J. Minzenberg and John Daniel Ragland and Tara Niendham and Marjorie Solomon and Cameron S. Carter},
  journal={Schizophrenia Research},
  year={2012},
  volume={135},
  pages={28-33}
}
The establishment of a neurobiologically based nosological system is one of the ultimate goals of modern biological psychiatry research. Developments in neuroimaging and statistical/machine learning have provided useful basic tools for these efforts. Recent studies have demonstrated the utility of fMRI as input data for the classification of schizophrenia, but none, to date, has used fMRI of cognitive control for this purpose. In this study, we evaluated the accuracy of an unbiased… CONTINUE READING
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