Journal article

Moving From Static to Dynamic Models of the Onset of Mental Disorder A Review

Barnaby Nelson, Patrick D McGorry, Marieke Wichers, Johanna TW Wigman, Jessica A Hartmann

JAMA PSYCHIATRY | AMER MEDICAL ASSOC | Published : 2017

Abstract

Importance: In recent years, there has been increased focus on subthreshold stages of mental disorders, with attempts to model and predict which individuals will progress to full-threshold disorder. Given this research attention and the clinical significance of the issue, this article analyzes the assumptions of the theoretical models in the field. Observations: Psychiatric research into predicting the onset of mental disorder has shown an overreliance on one-off sampling of cross-sectional data (ie, a snapshot of clinical state and other risk markers) and may benefit from taking dynamic changes into account in predictive modeling. Cross-disciplinary approaches to complex system structures a..

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Grants

Awarded by European Research Council Consolidator Grant


Awarded by Netherlands Organization for Scientific Research Veni Grant


Awarded by Netherlands Organization for Scientific Research Rubicon Grant


Funding Acknowledgements

Dr Nelson reported being supported by a National Alliance for Research on Schizophrenia and Depression (NARSAD) Independent Investigator Grant from the Brain & Behavior Research Foundation. Dr McGorry reported currently receiving research support from the National Health and Medical Research Council of Australia and the Colonial Foundation. He also reported having received grant funding from NARSAD and unrestricted research funding from AstraZeneca, Eli Lilly, Janssen-Cilag, Pfizer, and Novartis, as well as honoraria for educational activities with AstraZeneca, Eli Lilly, Janssen-Cilag, Pfizer, Bristol-Myers Squibb, Roche, and The Lundbeck Institute. Dr Wichers reported currently receiving research support from a European Research Council Consolidator Grant (2015; 671678). Dr Wigman reported being supported by a Netherlands Organization for Scientific Research Veni Grant (016.156.019). Dr Hartmann reported being supported by a Netherlands Organization for Scientific Research Rubicon Grant (825.15.015).