Using neuroimaging to help predict the onset of psychosis

George Gifford; Nicolas Crossley; Paolo Fusar-Poli; Hugo G. Schnack; René S. Kahn; Nikolaos Koutsouleris; Tyrone D. Cannon; Philip McGuire

doi:10.1016/j.neuroimage.2016.03.075

Using neuroimaging to help predict the onset of psychosis

George Gifford, Nicolas Crossley, Paolo Fusar-Poli, Hugo G. Schnack, René S. Kahn, Nikolaos Koutsouleris, Tyrone D. Cannon, Philip McGuire

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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.

Original language	English
Pages (from-to)	209-217
Journal	NeuroImage
Volume	145
Issue number	Part B
Early online date	1 Apr 2016
DOIs	https://doi.org/10.1016/j.neuroimage.2016.03.075
Publication status	Published - 15 Jan 2017

Keywords

Psychosis prediction
Ultra High-Risk of psychosis
machine learning
Support Vector Machines
multimodal neuroimaging
multicentre neuroimaging studies
graph analysis

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10.1016/j.neuroimage.2016.03.075

Using neuroimaging to help predict the onset of psychosisAccepted author manuscript, 489 KBLicence: CC BY-NC-ND

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title = "Using neuroimaging to help predict the onset of psychosis",

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AU - Gifford, George

AU - Crossley, Nicolas

AU - Fusar-Poli, Paolo

AU - Schnack, Hugo G.

AU - Kahn, René S.

AU - Koutsouleris, Nikolaos

AU - Cannon, Tyrone D.

AU - McGuire, Philip

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KW - Ultra High-Risk of psychosis

KW - machine learning

KW - Support Vector Machines

KW - multimodal neuroimaging

KW - multicentre neuroimaging studies

KW - graph analysis

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VL - 145

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EP - 217

JO - NeuroImage

JF - NeuroImage

IS - Part B

ER -

Using neuroimaging to help predict the onset of psychosis

Abstract

Keywords

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