Multivariate neuroanatomical classification of cognitive subtypes in schizophrenia: A support vector machine learning approach

@inproceedings{Gould2014MultivariateNC,
  title={Multivariate neuroanatomical classification of cognitive subtypes in schizophrenia: A support vector machine learning approach},
  author={Ian C. Gould and Alana M. Shepherd and Kristin R. Laurens and Murray J. Cairns and Vaughan J. Carr and Melissa J Green},
  booktitle={NeuroImage: Clinical},
  year={2014}
}
Heterogeneity in the structural brain abnormalities associated with schizophrenia has made identification of reliable neuroanatomical markers of the disease difficult. The use of more homogenous clinical phenotypes may improve the accuracy of predicting psychotic disorder/s on the basis of observable brain disturbances. Here we investigate the utility of cognitive subtypes of schizophrenia - 'cognitive deficit' and 'cognitively spared' - in determining whether multivariate patterns of… CONTINUE READING
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