Towards Precision Medicine in Psychosis: Benefits and Challenges of Multimodal Multicenter Studies-PSYSCAN: Translating Neuroimaging Findings From Research into Clinical Practice

S. Tognin, H.H. van Hell, K. Merritt, I. Winter-van Rossum, M.G. Bossong, M.J. Kempton, G. Modinos, P. Fusar-Poli, A. Mechelli, P. Dazzan, A. Maat, L. de Haan, B. Crespo-Facorro, B. Glenthoj, S.M. Lawrie, C. McDonald, O. Gruber, T. van Amelsvoort, C. Arango, T. KircherB. Nelson, S. Galderisi, R. Bressan, J.S. Kwon, M. Weiser, R. Mizrahi, G. Sachs, A. Maatz, R. Kahn, P. McGuire, PSYSCAN Consortium

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Pages (from-to)432-441
Number of pages10
JournalSchizophrenia Bulletin
Volume46
Issue number2
DOIs
Publication statusPublished - 1 Mar 2020

Keywords

  • 1st-episode psychosis
  • clinical high risk of psychosis
  • disease
  • first episode of psychosis
  • machine
  • machine learning
  • mri
  • neuroanatomical abnormalities
  • neuroimaging
  • onset
  • pattern-classification
  • prediction
  • prediction models
  • psychosis
  • psyscan
  • reliability
  • schizophrenia
  • ultra-high-risk
  • MRI
  • ULTRA-HIGH-RISK
  • NEUROANATOMICAL ABNORMALITIES
  • PREDICTION MODELS
  • RELIABILITY
  • PSYSCAN
  • PATTERN-CLASSIFICATION
  • MACHINE
  • 1ST-EPISODE PSYCHOSIS
  • SCHIZOPHRENIA
  • DISEASE
  • ONSET

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