Journal
PERSPECTIVES ON PSYCHOLOGICAL SCIENCE
Volume 11, Issue 5, Pages 597-605Publisher
SAGE PUBLICATIONS LTD
DOI: 10.1177/1745691616639283
Keywords
complex networks; psychopathology; nosology; psychotherapy
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Funding
- National Institutes of Health's (NIH) National Center for Complementary and Integrative Health [R01AT007257]
- NIH's National Institute of Mental Health [R01MH099021, R34MH099311, R34MH086668, R21MH102646, R21MH101567, K23MH100259]
- U.S. Department of the Army
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Contemporary classification systems for mental disorders assume that abnormal behaviors are expressions of latent disease entities. An alternative to the latent disease model is the complex network approach. Instead of assuming that symptoms arise from an underlying disease entity, the complex network approach holds that disorders exist as systems of interrelated elements of a network. This approach also provides a framework for the understanding of therapeutic change. Depending on the structure of the network, change can occur abruptly once the network reaches a critical threshold (the tipping point). Homogeneous and highly connected networks often recover more slowly from local perturbations when the network approaches the tipping point, potentially making it possible to predict treatment change, relapse, and recovery. In this article, we discuss the complex network approach as an alternative to the latent disease model and its implications for classification, therapy, relapse, and recovery.
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