Classification of first-episode psychosis: a multi-modal multi-feature approach integrating structural and diffusion imaging

@article{Peruzzo2014ClassificationOF,
  title={Classification of first-episode psychosis: a multi-modal multi-feature approach integrating structural and diffusion imaging},
  author={Denis Peruzzo and Umberto Castellani and Cinzia Perlini and Marcella Bellani and Veronica Marinelli and Gianluca Rambaldelli and Antonio Lasalvia and Sarah Tosato and Katia De Santi and Vittorio Murino and Mirella Ruggeri and Paolo Brambilla},
  journal={Journal of Neural Transmission},
  year={2014},
  volume={122},
  pages={897-905}
}
Currently, most of the classification studies of psychosis focused on chronic patients and employed single machine learning approaches. To overcome these limitations, we here compare, to our best knowledge for the first time, different classification methods of first-episode psychosis (FEP) using multi-modal imaging data exploited on several cortical and subcortical structures and white matter fiber bundles. 23 FEP patients and 23 age-, gender-, and race-matched healthy participants were… CONTINUE READING
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