A Complex Network Perspective on Clinical Science

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 inter-related 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, allowing for the possibility 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 we discuss its implications for classification, therapy, relapse, and recovery.**-- Stefan G. Hofmann, Ph.D.Professor of PsychologyDepartment of Psychological and Brain SciencesBoston University648 Beacon Street. 6th Fl.Boston, MA 02215Tel: (617) 353 9233Fax: (617 353 9609Director, PERL, www.bostonanxiety.orgISI Highly Sited Researcher, http://highlycited.com/President, IACP, www.the-iacp.com