Detecting schizophrenia at the level of the individual: relative diagnostic value of whole-brain images, connectome-wide functional connectivity and graph-based metrics

Du Lei, Walter H L Pinaya, Therese van Amelsvoort, Machteld Marcelis, Gary Donohoe, David O Mothersill, Aiden Corvin, Michael Gill, Sandra Vieira, Xiaoqi Huang, Su Lui, Cristina Scarpazza, Jonathan Young, Celso Arango, Edward Bullmore, Gong Qiyong, Philip McGuire, Andrea Mechelli

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Article number0033291719001934
Pages (from-to)1852-1861
Number of pages10
JournalPsychological Medicine
Volume50
Issue number11
Early online date8 Aug 2019
DOIs
Publication statusPublished - Aug 2020

Keywords

  • functional connectivity
  • graph theoretical analysis
  • machine learning
  • neuroimaging
  • schizophrenia
  • RESTING-STATE FMRI
  • NEURAL-NETWORK
  • MACHINE
  • CLASSIFICATION
  • DYSCONNECTIVITY
  • DISABILITY
  • PSYCHOSIS
  • PATTERNS
  • DISORDER
  • DISEASE

Cite this

Lei, D., Pinaya, W. H. L., van Amelsvoort, T., Marcelis, M., Donohoe, G., Mothersill, D. O., Corvin, A., Gill, M., Vieira, S., Huang, X., Lui, S., Scarpazza, C., Young, J., Arango, C., Bullmore, E., Qiyong, G., McGuire, P., & Mechelli, A. (2020). Detecting schizophrenia at the level of the individual: relative diagnostic value of whole-brain images, connectome-wide functional connectivity and graph-based metrics. Psychological Medicine, 50(11), 1852-1861. [0033291719001934]. https://doi.org/10.1017/S0033291719001934