Blog
About

  • Record: found
  • Abstract: found
  • Article: found
Is Open Access

Mental disorders as networks of problems: a review of recent insights

Read this article at

Bookmark
      There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

      Abstract

      PurposeThe network perspective on psychopathology understands mental disorders as complex networks of interacting symptoms. Despite its recent debut, with conceptual foundations in 2008 and empirical foundations in 2010, the framework has received considerable attention and recognition in the last years.MethodsThis paper provides a review of all empirical network studies published between 2010 and 2016 and discusses them according to three main themes: comorbidity, prediction, and clinical intervention.ResultsPertaining to comorbidity, the network approach provides a powerful new framework to explain why certain disorders may co-occur more often than others. For prediction, studies have consistently found that symptom networks of people with mental disorders show different characteristics than that of healthy individuals, and preliminary evidence suggests that networks of healthy people show early warning signals before shifting into disordered states. For intervention, centrality—a metric that measures how connected and clinically relevant a symptom is in a network—is the most commonly studied topic, and numerous studies have suggested that targeting the most central symptoms may offer novel therapeutic strategies.ConclusionsWe sketch future directions for the network approach pertaining to both clinical and methodological research, and conclude that network analysis has yielded important insights and may provide an important inroad towards personalized medicine by investigating the network structures of individual patients.Electronic supplementary materialThe online version of this article (doi:10.1007/s00127-016-1319-z) contains supplementary material, which is available to authorized users.

      Related collections

      Most cited references 69

      • Record: found
      • Abstract: found
      • Article: not found

      Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication.

      Little is known about the general population prevalence or severity of DSM-IV mental disorders. To estimate 12-month prevalence, severity, and comorbidity of DSM-IV anxiety, mood, impulse control, and substance disorders in the recently completed US National Comorbidity Survey Replication. Nationally representative face-to-face household survey conducted between February 2001 and April 2003 using a fully structured diagnostic interview, the World Health Organization World Mental Health Survey Initiative version of the Composite International Diagnostic Interview. Nine thousand two hundred eighty-two English-speaking respondents 18 years and older. Twelve-month DSM-IV disorders. Twelve-month prevalence estimates were anxiety, 18.1%; mood, 9.5%; impulse control, 8.9%; substance, 3.8%; and any disorder, 26.2%. Of 12-month cases, 22.3% were classified as serious; 37.3%, moderate; and 40.4%, mild. Fifty-five percent carried only a single diagnosis; 22%, 2 diagnoses; and 23%, 3 or more diagnoses. Latent class analysis detected 7 multivariate disorder classes, including 3 highly comorbid classes representing 7% of the population. Although mental disorders are widespread, serious cases are concentrated among a relatively small proportion of cases with high comorbidity.
        Bookmark
        • Record: found
        • Abstract: found
        • Article: not found

        Early-warning signals for critical transitions.

        Complex dynamical systems, ranging from ecosystems to financial markets and the climate, can have tipping points at which a sudden shift to a contrasting dynamical regime may occur. Although predicting such critical points before they are reached is extremely difficult, work in different scientific fields is now suggesting the existence of generic early-warning signals that may indicate for a wide class of systems if a critical threshold is approaching.
          Bookmark
          • Record: found
          • Abstract: not found
          • Article: not found

          Ecological Correlations and the Behavior of Individuals

            Bookmark

            Author and article information

            Affiliations
            [1 ]Department of Psychology, University of Amsterdam, Nieuwe Achtergracht 129-B, Room G0.28, 1001NK Amsterdam, Netherlands
            [2 ]Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
            Contributors
            eiko.fried@gmail.com
            Journal
            Soc Psychiatry Psychiatr Epidemiol
            Soc Psychiatry Psychiatr Epidemiol
            Social Psychiatry and Psychiatric Epidemiology
            Springer Berlin Heidelberg (Berlin/Heidelberg )
            0933-7954
            1433-9285
            5 December 2016
            5 December 2016
            2017
            : 52
            : 1
            : 1-10
            27921134
            5226976
            1319
            10.1007/s00127-016-1319-z
            © The Author(s) 2016

            Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

            Funding
            Funded by: FundRef http://dx.doi.org/10.13039/501100000781, European Research Council;
            Award ID: 647209
            Award Recipient :
            Categories
            Invited Reviews
            Custom metadata
            © Springer-Verlag Berlin Heidelberg 2017

            Comments

            Comment on this article