Can we predict the direction of sudden shifts in symptoms? Transdiagnostic implications from a complex systems perspective on psychopathologyстатья из журнала
Аннотация: Abstract Recently, there has been renewed interest in the application of assumptions from complex systems theory in the field of psychopathology. One assumption, with high clinical relevance, is that sudden transitions in symptoms may be anticipated by rising instability in the system, which can be detected with early warning signals (EWS). Empirical studies support the idea that this principle also applies to the field of psychopathology. The current manuscript discusses whether assumptions from complex systems theory can additionally be informative with respect to the specific symptom dimension in which such a transition will occur (e.g. whether a transition towards anxious, depressive or manic symptoms is most likely). From a complex systems perspective, both EWS measured in single symptom dynamics and network symptom dynamics at large are hypothesized to provide clues regarding the direction of the transition. Challenging research designs are needed to provide empirical validation of these hypotheses. These designs should be able to follow sudden transitions ‘live’ using frequent observations of symptoms within individuals and apply a transdiagnostic approach to psychopathology. If the assumptions proposed are supported by empirical studies then this will signify a large improvement in the possibility for personalized estimations of the course of psychiatric symptoms. Such information can be extremely useful for early intervention strategies aimed at preventing specific psychiatric problems.
Год издания: 2018
Издательство: Cambridge University Press
Источник: Psychological Medicine
Ключевые слова: Mental Health Research Topics, Ecosystem dynamics and resilience, Functional Brain Connectivity Studies
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University of Groningen research database (University of Groningen / Centre for Information Technology) (HTML)
University of Groningen research database (University of Groningen / Centre for Information Technology) (PDF)
University of Groningen research database (University of Groningen / Centre for Information Technology) (HTML)
PubMed (HTML)
Psychological Medicine (HTML)
Europe PMC (PubMed Central) (PDF)
Europe PMC (PubMed Central) (HTML)
PubMed Central (HTML)
Lirias (KU Leuven) (PDF)
Lirias (KU Leuven) (HTML)
University of Groningen research database (University of Groningen / Centre for Information Technology) (HTML)
University of Groningen research database (University of Groningen / Centre for Information Technology) (PDF)
University of Groningen research database (University of Groningen / Centre for Information Technology) (HTML)
PubMed (HTML)
Открытый доступ: hybrid
Том: 49
Выпуск: 3
Страницы: 380–387