Journal article

Multi-center MRI prediction models: Predicting sex and illness course in first episode psychosis patients

Mireille Nieuwenhuis, Hugo G Schnack, Neeltje E van Haren, Julia Lappin, Craig Morgan, Antje A Reinders, Diana Gutierrez-Tordesillas, Roberto Roiz-Santianez, Maristela S Schaufelberger, Pedro G Rosa, Marcus V Zanetti, Geraldo F Busatto, Benedicto Crespo-Facorro, Patrick D McGorry, Dennis Velakoulis, Christos Pantelis, Stephen J Wood, Rene S Kahn, Janaina Mourao-Miranda, Paola Dazzan

NEUROIMAGE | ACADEMIC PRESS INC ELSEVIER SCIENCE | Published : 2017

Abstract

Structural Magnetic Resonance Imaging (MRI) studies have attempted to use brain measures obtained at the first-episode of psychosis to predict subsequent outcome, with inconsistent results. Thus, there is a real need to validate the utility of brain measures in the prediction of outcome using large datasets, from independent samples, obtained with different protocols and from different MRI scanners. This study had three main aims: 1) to investigate whether structural MRI data from multiple centers can be combined to create a machine-learning model able to predict a strong biological variable like sex; 2) to replicate our previous finding that an MRI scan obtained at first episode significant..

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Grants

Awarded by National Health and Medical Research Council of Australia


Awarded by NHMRC


Awarded by UK Medical Research Council


Awarded by Carlos III Health Institute


Awarded by Netherlands Organization for Scientific Research, NWO-VENI grant


Awarded by Wellcome Trust


Awarded by Medical Research Council


Funding Acknowledgements

The Melbourne research was supported by grants from the National Health and Medical Research Council of Australia (Program Grants, IDs: 350241; 566529). Christos Pantelis and Patrick McGorry were supported by NHMRC Senior Principal Research Fellowships (ID: 628386; 1060996). The London research was supported by UK Medical Research Council (Ref: G0500817) and the Department of Health via the National Institute for Health Research (NIHR) Specialist Biomedical Research Center for Mental Health award to South London and Maudsley NHS Foundation Trust (SLaM) and the Institute of Psychiatry at King's College London, London.Diana Tordesillas-Gutierrez is funded by a contract from the Carlos III Health Institute (CA12/00312). A.A.T.S. Reinders was supported by the Netherlands Organization for Scientific Research (www.nwo.nl), NWO-VENI grant no. 451-07-009.Janaina Mourao-Miranda was supported by the Wellcome Trust under grants no. WT086565/Z/08/Z and no. WT102845/Z/13/Z.