Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland; Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland; Center for Contextual Psychiatry, Research Group Psychiatry, Department of Neuroscience, KU Leuven, Leuven, Belgium
Anjali Tarun
Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
Marco Armando
Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland
Barnaby Nelson
Orygen, Parkville, Australia; The Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
Paul G Amminger
Orygen, Parkville, Australia; The Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia; Department of Psychiatry and Psychotherapy, Clinical Division of Social Psychiatry, Medical University Vienna, Vienna, Austria
Hok Pan Yuen
Orygen, Parkville, Australia; The Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
Connie Markulev
Orygen, Parkville, Australia; The Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
Monica R Schäffer
The Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia; Department of Psychiatry and Psychotherapy, Clinical Division of Social Psychiatry, Medical University Vienna, Vienna, Austria
Nilufar Mossaheb
Department of Psychiatry and Psychotherapy, Clinical Division of Social Psychiatry, Medical University Vienna, Vienna, Austria
Monika Schlögelhofer
Department of Psychiatry and Psychotherapy, Clinical Division of Social Psychiatry, Medical University Vienna, Vienna, Austria
Stefan Smesny
Department of Psychiatry and Psychotherapy, Clinical Division of Social Psychiatry, Medical University Vienna, Vienna, Austria
Ian B Hickie
Department of Psychiatry, University Hospital Jena, Jena, Germany
Gregor Emanuel Berger
Brain and Mind Centre, University of Sydney, Sydney, Australia
Eric YH Chen
Child and Adolescent Psychiatric Service of the Canton of Zurich, Zurich, Switzerland
Lieuwe de Haan
Department of Psychiatry, University of Hong Kong, Hong Kong, China
Dorien H Nieman
Department of Psychiatry, Amsterdam University Medical Centers, Amsterdam, Netherlands
Merete Nordentoft
Psychiatric Centre Bispebjerg, Copenhagen, Denmark
Anita Riecher-Rössler
University of Basel, Basel, Switzerland
Swapna Verma
Institute of Mental Health, Singapore, Singapore
Andrew Thompson
Orygen, Parkville, Australia; The Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia; Division of Mental Health and Wellbeing, Warwick Medical School, University of Warwick, Coventry, United Kingdom; North Warwickshire Early Intervention in Psychosis Service, Conventry and Warwickshire National Health Service Partnership Trust, Coventry, United Kingdom
Alison Ruth Yung
Orygen, Parkville, Australia; The Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia; Division of Psychology and Mental Health, University of Manchester, Manchester, United Kingdom; Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom
Patrick D McGorry
Orygen, Parkville, Australia; The Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland; Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland
Stephan Eliez
Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland; Department of Genetic Medicine and Development, University of Geneva School of Medicine, Geneva, Switzerland
Causal interactions between specific psychiatric symptoms could contribute to the heterogenous clinical trajectories observed in early psychopathology. Current diagnostic approaches merge clinical manifestations that co-occur across subjects and could significantly hinder our understanding of clinical pathways connecting individual symptoms. Network analysis techniques have emerged as alternative approaches that could help shed light on the complex dynamics of early psychopathology. The present study attempts to address the two main limitations that have in our opinion hindered the application of network approaches in the clinical setting. Firstly, we show that a multi-layer network analysis approach, can move beyond a static view of psychopathology, by providing an intuitive characterization of the role of specific symptoms in contributing to clinical trajectories over time. Secondly, we show that a Graph-Signal-Processing approach, can exploit knowledge of longitudinal interactions between symptoms, to predict clinical trajectories at the level of the individual. We test our approaches in two independent samples of individuals with genetic and clinical vulnerability for developing psychosis. Novel network approaches can allow to embrace the dynamic complexity of early psychopathology and help pave the way towards a more a personalized approach to clinical care.
