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 KoutsoulerisChristos 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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