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The network approach to psychopathology: a review of the literature 2008–2018 and an agenda for future research

Published online by Cambridge University Press:  26 December 2019

Donald J. Robinaugh Open the ORCID record for Donald J. Robinaugh [Opens in a new window] ,
Ria H. A. Hoekstra ,
Emma R. Toner  and
Denny Borsboom
Donald J. Robinaugh*
Affiliation:
Department of Psychiatry, Massachusetts General Hospital, Boston, MA02114, USA Harvard Medical School, Boston, MA02114, USA
Ria H. A. Hoekstra
Affiliation:
University of Amsterdam, Amsterdam, The Netherlands
Emma R. Toner
Affiliation:
Department of Psychiatry, Massachusetts General Hospital, Boston, MA02114, USA
Denny Borsboom
Affiliation:
University of Amsterdam, Amsterdam, The Netherlands
*
Author for correspondence: Donald J. Robinaugh, E-mail: [email protected]
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Abstract

The network approach to psychopathology posits that mental disorders can be conceptualized and studied as causal systems of mutually reinforcing symptoms. This approach, first posited in 2008, has grown substantially over the past decade and is now a full-fledged area of psychiatric research. In this article, we provide an overview and critical analysis of 363 articles produced in the first decade of this research program, with a focus on key theoretical, methodological, and empirical contributions. In addition, we turn our attention to the next decade of the network approach and propose critical avenues for future research in each of these domains. We argue that this program of research will be best served by working toward two overarching aims: (a) the identification of robust empirical phenomena and (b) the development of formal theories that can explain those phenomena. We recommend specific steps forward within this broad framework and argue that these steps are necessary if the network approach is to develop into a progressive program of research capable of producing a cumulative body of knowledge about how specific mental disorders operate as causal systems.

Keywords

Causal systemsnetwork approachnetwork psychometricsnetwork theorypsychopathologysymptom networks
Type
Review Article
Information
Psychological Medicine , Volume 50 , Issue 3 , February 2020 , pp. 353 - 366
Copyright
Copyright © Cambridge University Press 2019

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