title: Using neuroimaging to help predict the onset of psychosis.
abstract: The aim of this review is to assess the potential for neuroimaging measures to facilitate prediction of the onset of psychosis. Research in this field has mainly involved people at 'ultra-high risk' (UHR) of psychosis, who have a very high risk of developing a psychotic disorder within a few years of presentation to mental health services. The review details the key findings and developments in this area to date and examines the methodological and logistical challenges associated with making predictions in an individual subject in a clinical setting.
authors.affiliation: Department of Psychosis Studies, The Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom. Electronic address: george.gifford@kcl.ac.uk.
authors.forename: George
authors.initials: G
authors.lastname: Gifford
authors.affiliation: Department of Psychosis Studies, The Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
authors.forename: Nicolas
authors.initials: N
authors.lastname: Crossley
authors.affiliation: Department of Psychosis Studies, The Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
authors.forename: Paolo
authors.initials: P
authors.lastname: Fusar-Poli
authors.affiliation: Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Centre Utrecht, Utrecht, The Netherlands.
authors.forename: Hugo G
authors.initials: HG
authors.lastname: Schnack
authors.affiliation: Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Centre Utrecht, Utrecht, The Netherlands.
authors.forename: René S
authors.initials: RS
authors.lastname: Kahn
authors.affiliation: Department of Psychiatry and Psychotherapy, Ludwig Maximilian University, Munich, Germany.
authors.forename: Nikolaos
authors.initials: N
authors.lastname: Koutsouleris
authors.affiliation: Department of Psychology, Yale University, New Haven, CT, USA; Department of Psychiatry, Yale University, New Haven, CT, USA.
authors.forename: Tyrone D
authors.initials: TD
authors.lastname: Cannon
authors.affiliation: Department of Psychosis Studies, The Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
authors.forename: Philip
authors.initials: P
authors.lastname: McGuire
mesh_terms: D006801:Humans; D000069550:Machine Learning; D059906:Neuroimaging / Q000379:methods*; D011618:Psychotic Disorders / Q000000981:diagnostic imaging*
keywords: Graph analysis; Machine learning; Multicentre neuroimaging studies; Multimodal neuroimaging; Psychosis prediction; Support vector machines; Ultra high-risk of psychosis