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

doi:https://doi.org/10.1016/j.neuroimage.2016.03.075

Using neuroimaging to help predict the onset of psychosis

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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

(2017) NeuroImage, volume 145, issue Part B, pp. 2072 - 1439

(Article)

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 ... read more

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Keywords: Graph analysis, Machine learning, Multicentre neuroimaging studies, Multimodal neuroimaging, Psychosis prediction, Support vector machines, Ultra high-risk of psychosis, Cognitive Neuroscience, Neurology, Journal Article

DOI: https://doi.org/10.1016/j.neuroimage.2016.03.075

ISSN: 1053-8119

Publisher: Academic Press Inc.

Note: Funding Information: George Gifford is supported by the National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Heath Research and Care South London at King's College Hospital NHS Foundation Trust. The views expressed are those of the author[s] and not necessarily those of the NHS, the NIHR or the Department of Health. Publisher Copyright: © 2016 Elsevier Inc.

(Peer reviewed)