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Neuroanatomical Heterogeneity of Schizophrenia Quantified via Semi-Supervised Machine Learning Reveals Two Distinct Subtypes: Results From the PHENOM Consortium

  • Ganesh B. Chand
  • , Dominic B. Dwyer
  • , Guray Erus
  • , Aristeidis Sotiras
  • , Erdem Varol
  • , Dhivya Srinivasan
  • , Ruben C. Gur
  • , Raquel E. Gur
  • , Paola Dazzan
  • , Rene S. Kahn
  • , Hugo G. Schnack
  • , Marcus V. Zanetti
  • , Geraldo F. Busatto
  • , Benedicto Crespo Facorro
  • , Christos Pantelis
  • , Chuanjun Zhuo
  • , Yong Fan
  • , Theodore D. Satterthwaite
  • , Daniel H. Wolf
  • , Nikolaos Koutsouleris
  • Christos Davatzikos

Research output: Contribution to journalMeeting Abstractpeer-review

Original languageEnglish
Pages (from-to)S205-S206
JournalBiological psychiatry
Volume85
Issue number10
Publication statusPublished - 15 May 2019

Keywords

  • Structural MRI
  • Neuroanatomical Correlates
  • Machine Learning
  • Schizophrenia
  • Statistical Analysis

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