Literature DB >> 26521769

Can neuroimaging be used to predict the onset of psychosis?

Philip McGuire1, Joao R Sato2, Andrea Mechelli3, Andrea Jackowski4, Rodrigo A Bressan5, Andre Zugman6.   

Abstract

The onset of psychotic disorders is preceded by a high-risk phase characterised by attenuated or brief psychotic symptoms and a marked decline in functioning. About a third of individuals presenting with these features develop a psychotic disorder within 3 years. A fundamental challenge in the clinical management of this population is that it is not possible to predict whether an individual at high risk will go on to develop psychosis on the basis of their presenting features. Consequently, preventive interventions that might reduce the risk of progression to psychosis cannot be selectively offered to those patients for whom they would be most useful. However, neuroimaging investigation suggests that the structure, function, and chemistry of the brain in high-risk individuals who become psychotic differ from those in individuals who do not become psychotic. In this Personal View, we review these findings and discuss the main challenges for translating them into clinical practice. The development of techniques that allow clinicians to tailor interventions to the level of risk is a major translational goal for research in this field.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 26521769     DOI: 10.1016/S2215-0366(15)00308-9

Source DB:  PubMed          Journal:  Lancet Psychiatry        ISSN: 2215-0366            Impact factor:   27.083


  12 in total

Review 1.  Altering the course of schizophrenia: progress and perspectives.

Authors:  Mark J Millan; Annie Andrieux; George Bartzokis; Kristin Cadenhead; Paola Dazzan; Paolo Fusar-Poli; Jürgen Gallinat; Jay Giedd; Dennis R Grayson; Markus Heinrichs; René Kahn; Marie-Odile Krebs; Marion Leboyer; David Lewis; Oscar Marin; Philippe Marin; Andreas Meyer-Lindenberg; Patrick McGorry; Philip McGuire; Michael J Owen; Paul Patterson; Akira Sawa; Michael Spedding; Peter Uhlhaas; Flora Vaccarino; Claes Wahlestedt; Daniel Weinberger
Journal:  Nat Rev Drug Discov       Date:  2016-03-04       Impact factor: 84.694

2.  Structural Network Disorganization in Subjects at Clinical High Risk for Psychosis.

Authors:  André Schmidt; Nicolas A Crossley; Fabienne Harrisberger; Renata Smieskova; Claudia Lenz; Anita Riecher-Rössler; Undine E Lang; Philip McGuire; Paolo Fusar-Poli; Stefan Borgwardt
Journal:  Schizophr Bull       Date:  2017-05-01       Impact factor: 9.306

3.  Disrupted salience network functional connectivity and white-matter microstructure in persons at risk for psychosis: findings from the LYRIKS study.

Authors:  C Wang; F Ji; Z Hong; J S Poh; R Krishnan; J Lee; G Rekhi; R S E Keefe; R A Adcock; S J Wood; A Fornito; O Pasternak; M W L Chee; J Zhou
Journal:  Psychol Med       Date:  2016-07-11       Impact factor: 7.723

4.  Using clinical information to make individualized prognostic predictions in people at ultra high risk for psychosis.

Authors:  Andrea Mechelli; Ashleigh Lin; Stephen Wood; Patrick McGorry; Paul Amminger; Stefania Tognin; Philip McGuire; Jonathan Young; Barnaby Nelson; Alison Yung
Journal:  Schizophr Res       Date:  2016-12-04       Impact factor: 4.939

5.  Recognition of Schizophrenia with Regularized Support Vector Machine and Sequential Region of Interest Selection using Structural Magnetic Resonance Imaging.

Authors:  Rowena Chin; Alex Xiaobin You; Fanwen Meng; Juan Zhou; Kang Sim
Journal:  Sci Rep       Date:  2018-09-14       Impact factor: 4.379

Review 6.  Antibodies in the Diagnosis, Prognosis, and Prediction of Psychotic Disorders.

Authors:  Thomas A Pollak; Jonathan P Rogers; Robert G Nagele; Mark Peakman; James M Stone; Anthony S David; Philip McGuire
Journal:  Schizophr Bull       Date:  2019-01-01       Impact factor: 9.306

Review 7.  Progress in psychoradiology, the clinical application of psychiatric neuroimaging.

Authors:  Xiaoqi Huang; Qiyong Gong; John A Sweeney; Bharat B Biswal
Journal:  Br J Radiol       Date:  2019-06-21       Impact factor: 3.039

Review 8.  Translating research findings into clinical practice: a systematic and critical review of neuroimaging-based clinical tools for brain disorders.

Authors:  C Scarpazza; M Ha; L Baecker; R Garcia-Dias; W H L Pinaya; S Vieira; A Mechelli
Journal:  Transl Psychiatry       Date:  2020-04-20       Impact factor: 6.222

9.  Crisis in neuroimaging: is neuroimaging failing 15 years after the decade of the brain?

Authors:  André Zugman; João R Sato; Andrea P Jackowski
Journal:  Braz J Psychiatry       Date:  2016 Oct-Dec       Impact factor: 2.697

10.  Atypical processing of uncertainty in individuals at risk for psychosis.

Authors:  David M Cole; Andreea O Diaconescu; Ulrich J Pfeiffer; Kay H Brodersen; Christoph D Mathys; Dominika Julkowski; Stephan Ruhrmann; Leonhard Schilbach; Marc Tittgemeyer; Kai Vogeley; Klaas E Stephan
Journal:  Neuroimage Clin       Date:  2020-03-07       Impact factor: 4.881

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