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How can neuroimaging facilitate the diagnosis and stratification of patients with psychosis?

Early diagnosis and treatment of patients with psychosis are associated with improved outcome in terms of future functioning, symptoms and treatment response. Identifying neuroimaging biomarkers for illness onset and treatment response would lead to immediate clinical benefits. In this review we dis...

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Detalles Bibliográficos
Autores principales: Kempton, Matthew J., McGuire, Philip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4433201/
https://www.ncbi.nlm.nih.gov/pubmed/25092428
http://dx.doi.org/10.1016/j.euroneuro.2014.07.006
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author Kempton, Matthew J.
McGuire, Philip
author_facet Kempton, Matthew J.
McGuire, Philip
author_sort Kempton, Matthew J.
collection PubMed
description Early diagnosis and treatment of patients with psychosis are associated with improved outcome in terms of future functioning, symptoms and treatment response. Identifying neuroimaging biomarkers for illness onset and treatment response would lead to immediate clinical benefits. In this review we discuss if neuroimaging may be utilised to diagnose patients with psychosis, predict those who will develop the illness in those at high risk, and stratify patients. State-of-the-art developments in the field are critically examined including multicentre studies, longitudinal designs, multimodal imaging and machine learning as well as some of the challenges in utilising future neuroimaging biomarkers in clinical trials. As many of these developments are already being applied in neuroimaging studies of Alzheimer׳s disease, we discuss what lessons have been learned from this field and how they may be applied to research in psychosis.
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spelling pubmed-44332012015-05-18 How can neuroimaging facilitate the diagnosis and stratification of patients with psychosis? Kempton, Matthew J. McGuire, Philip Eur Neuropsychopharmacol Article Early diagnosis and treatment of patients with psychosis are associated with improved outcome in terms of future functioning, symptoms and treatment response. Identifying neuroimaging biomarkers for illness onset and treatment response would lead to immediate clinical benefits. In this review we discuss if neuroimaging may be utilised to diagnose patients with psychosis, predict those who will develop the illness in those at high risk, and stratify patients. State-of-the-art developments in the field are critically examined including multicentre studies, longitudinal designs, multimodal imaging and machine learning as well as some of the challenges in utilising future neuroimaging biomarkers in clinical trials. As many of these developments are already being applied in neuroimaging studies of Alzheimer׳s disease, we discuss what lessons have been learned from this field and how they may be applied to research in psychosis. Elsevier 2015-05 /pmc/articles/PMC4433201/ /pubmed/25092428 http://dx.doi.org/10.1016/j.euroneuro.2014.07.006 Text en © 2014 The Authors http://creativecommons.org/licenses/by/3.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Kempton, Matthew J.
McGuire, Philip
How can neuroimaging facilitate the diagnosis and stratification of patients with psychosis?
title How can neuroimaging facilitate the diagnosis and stratification of patients with psychosis?
title_full How can neuroimaging facilitate the diagnosis and stratification of patients with psychosis?
title_fullStr How can neuroimaging facilitate the diagnosis and stratification of patients with psychosis?
title_full_unstemmed How can neuroimaging facilitate the diagnosis and stratification of patients with psychosis?
title_short How can neuroimaging facilitate the diagnosis and stratification of patients with psychosis?
title_sort how can neuroimaging facilitate the diagnosis and stratification of patients with psychosis?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4433201/
https://www.ncbi.nlm.nih.gov/pubmed/25092428
http://dx.doi.org/10.1016/j.euroneuro.2014.07.006
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