Tognin, S;
Van Hell, HH;
Merritt, K;
Winter-van Rossum, I;
Bossong, MG;
Kempton, MJ;
Modinos, G;
... McGuire, P; + view all
(2020)
Towards Precision Medicine in Psychosis: Benefits and Challenges of Multimodal Multicenter Studies—PSYSCAN: Translating Neuroimaging Findings From Research into Clinical Practice.
Schizophrenia Bulletin
, 46
(2)
pp. 432-441.
10.1093/schbul/sbz067.
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Abstract
In the last 2 decades, several neuroimaging studies investigated brain abnormalities associated with the early stages of psychosis in the hope that these could aid the prediction of onset and clinical outcome. Despite advancements in the field, neuroimaging has yet to deliver. This is in part explained by the use of univariate analytical techniques, small samples and lack of statistical power, lack of external validation of potential biomarkers, and lack of integration of nonimaging measures (eg, genetic, clinical, cognitive data). PSYSCAN is an international, longitudinal, multicenter study on the early stages of psychosis which uses machine learning techniques to analyze imaging, clinical, cognitive, and biological data with the aim of facilitating the prediction of psychosis onset and outcome. In this article, we provide an overview of the PSYSCAN protocol and we discuss benefits and methodological challenges of large multicenter studies that employ neuroimaging measures.
| Type: | Article |
|---|---|
| Title: | Towards Precision Medicine in Psychosis: Benefits and Challenges of Multimodal Multicenter Studies—PSYSCAN: Translating Neuroimaging Findings From Research into Clinical Practice |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1093/schbul/sbz067 |
| Publisher version: | https://doi.org/10.1093/schbul/sbz067 |
| Language: | English |
| Additional information: | Copyright © The Author(s) 2019. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com. |
| Keywords: | psychosis, first episode of psychosis, clinical high risk of psychosis, PSYSCAN, neuroimaging, MRI, machine learning, prediction |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Division of Psychiatry |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10109784 |
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