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Using neuroimaging to help predict the onset of psychosis.
Gifford, George; Crossley, Nicolas; Fusar-Poli, Paolo; Schnack, Hugo G; Kahn, René S; Koutsouleris, Nikolaos; Cannon, Tyrone D; McGuire, Philip.
Afiliación
  • Gifford G; 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.
  • Crossley N; Department of Psychosis Studies, The Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
  • Fusar-Poli P; Department of Psychosis Studies, The Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
  • Schnack HG; Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Centre Utrecht, Utrecht, The Netherlands.
  • Kahn RS; Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Centre Utrecht, Utrecht, The Netherlands.
  • Koutsouleris N; Department of Psychiatry and Psychotherapy, Ludwig Maximilian University, Munich, Germany.
  • Cannon TD; Department of Psychology, Yale University, New Haven, CT, USA; Department of Psychiatry, Yale University, New Haven, CT, USA.
  • McGuire P; Department of Psychosis Studies, The Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Neuroimage ; 145(Pt B): 209-217, 2017 01 15.
Article en En | MEDLINE | ID: mdl-27039698
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.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Trastornos Psicóticos / Neuroimagen / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2017 Tipo del documento: Article
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Trastornos Psicóticos / Neuroimagen / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2017 Tipo del documento: Article