Classification of schizophrenia patients based on resting-state functional network connectivity

@inproceedings{Arbabshirani2013ClassificationOS,
  title={Classification of schizophrenia patients based on resting-state functional network connectivity},
  author={Mohammad R Arbabshirani and Kent A. Kiehl and Godfrey D. Pearlson and Vince D. Calhoun},
  booktitle={Front. Neurosci.},
  year={2013}
}
There is a growing interest in automatic classification of mental disorders based on neuroimaging data. Small training data sets (subjects) and very large amount of high dimensional data make it a challenging task to design robust and accurate classifiers for heterogeneous disorders such as schizophrenia. Most previous studies considered structural MRI, diffusion tensor imaging and task-based fMRI for this purpose. However, resting-state data has been rarely used in discrimination of… CONTINUE READING

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