PERSONALISED PROGNOSTIC TOOLS FOR EARLY PSYCHOSIS MANAGEMENT (PRONIA)

Grant number: 1075379 | Funding period: 2014 - 2019

Completed

Abstract

Psychosis can be a devastating illness with harmful long-term consequences, such as chronic schizophrenia. To avoid distress, deterioration, and potential disability, we need more accurate tools to personalise treatment for individuals by understanding their prognosis. The PRONIA project will help to improve methods of predicting outcomes by working with our European colleagues to create a cybernetic prognostic system for psychosis that uses brain imaging, genetics, cognition, and clinical markers.

Related publications (3)

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Novel Gyrification Networks Reveal Links with Psychiatric Risk Factors in Early Illness.

Rachele Sanfelici, Anne Ruef, Linda A Antonucci, Nora Penzel, Aristeidis Sotiras, Mark Sen Dong, Maria Urquijo-Castro, Julian Wenzel, Lana Kambeitz-Ilankovic, Meike D Hettwer, Stephan Ruhrmann, Katharine Chisholm, Anita Riecher-Rössler, Peter Falkai, Christos Pantelis, Raimo KR Salokangas, Rebekka Lencer, Alessandro Bertolino, Joseph Kambeitz, Eva Meisenzahl

2021-09-14

Adult gyrification provides a window into coordinated early neurodevelopment when disruptions predispose individuals to psychiatri..

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Traces of Trauma: A Multivariate Pattern Analysis of Childhood Trauma, Brain Structure, and Clinical Phenotypes

David Popovic, Anne Ruef, Dominic B Dwyer, Linda A Antonucci, Julia Eder, Rachele Sanfelici, Lana Kambeitz-Ilankovic, Omer Faruk Oztuerk, Mark S Dong, Riya Paul, Marco Paolini, Dennis Hedderich, Theresa Haidl, Joseph Kambeitz, Stephan Ruhrmann, Katharine Chisholm, Frauke Schultze-Lutter, Peter Falkai, Giulio Pergola, Giuseppe Blasi

2020-12-01

BACKGROUND: Childhood trauma (CT) is a major yet elusive psychiatric risk factor, whose multidimensional conceptualization and het..

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Risk and resilience brain networks in treatment-resistant schizophrenia

Eleni P Ganella, Caio Seguin, Cali F Bartholomeusz, Sarah Whittle, Chad Bousman, Cassandra MJ Wannan, Maria A Di Biase, Christina Phassouliotis, Ian Everall, Christos Pantelis, Andrew Zalesky

2018-03-01

BACKGROUND: Genes, molecules and neural circuits that are associated with, or confer risk to developing schizophrenia have been st..

University of Melbourne Researchers