학술논문
A Dynamical Systems View of Psychiatric Disorders-Practical Implications: A Review.
Document Type
Academic Journal
Author
Scheffer M; Wageningen University, Wageningen, the Netherlands.; Bockting CL; Amsterdam UMC, Amsterdam, the Netherlands.; Borsboom D; University of Amsterdam, Amsterdam, the Netherlands.; Cools R; Donders Institute, Nijmegen, the Netherlands.; Delecroix C; Wageningen University, Wageningen, the Netherlands.; Hartmann JA; University of Melbourne, Melbourne, Victoria, Australia.; Kendler KS; Virginia Commonwealth University, Richmond.; van de Leemput I; Wageningen University, Wageningen, the Netherlands.; van der Maas HLJ; University of Amsterdam, Amsterdam, the Netherlands.; van Nes E; Wageningen University, Wageningen, the Netherlands.; Mattson M; Johns Hopkins University, Baltimore, Maryland.; McGorry PD; Orygen, Parkville, Victoria, Australia.; Nelson B; Orygen, Parkville, Victoria, Australia.
Source
Publisher: American Medical Association Country of Publication: United States NLM ID: 101589550 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2168-6238 (Electronic) Linking ISSN: 2168622X NLM ISO Abbreviation: JAMA Psychiatry Subsets: MEDLINE
Subject
Language
English
Abstract
Importance: Dynamical systems theory is widely used to explain tipping points, cycles, and chaos in complex systems ranging from the climate to ecosystems. It has been suggested that the same theory may be used to explain the nature and dynamics of psychiatric disorders, which may come and go with symptoms changing over a lifetime. Here we review evidence for the practical applicability of this theory and its quantitative tools in psychiatry.
Observations: Emerging results suggest that time series of mood and behavior may be used to monitor the resilience of patients using the same generic dynamical indicators that are now employed globally to monitor the risks of collapse of complex systems, such as tropical rainforest and tipping elements of the climate system. Other dynamical systems tools used in ecology and climate science open ways to infer personalized webs of causality for patients that may be used to identify targets for intervention. Meanwhile, experiences in ecological restoration help make sense of the occasional long-term success of short interventions.
Conclusions and Relevance: Those observations, while promising, evoke follow-up questions on how best to collect dynamic data, infer informative timescales, construct mechanistic models, and measure the effect of interventions on resilience. Done well, monitoring resilience to inform well-timed interventions may be integrated into approaches that give patients an active role in the lifelong challenge of managing their resilience and knowing when to seek professional help.
Observations: Emerging results suggest that time series of mood and behavior may be used to monitor the resilience of patients using the same generic dynamical indicators that are now employed globally to monitor the risks of collapse of complex systems, such as tropical rainforest and tipping elements of the climate system. Other dynamical systems tools used in ecology and climate science open ways to infer personalized webs of causality for patients that may be used to identify targets for intervention. Meanwhile, experiences in ecological restoration help make sense of the occasional long-term success of short interventions.
Conclusions and Relevance: Those observations, while promising, evoke follow-up questions on how best to collect dynamic data, infer informative timescales, construct mechanistic models, and measure the effect of interventions on resilience. Done well, monitoring resilience to inform well-timed interventions may be integrated into approaches that give patients an active role in the lifelong challenge of managing their resilience and knowing when to seek professional help.