Quantifying the stability landscapes of psychological networks.

ABSTRACT: The network theory of psychopathology proposes that mental disorders can be represented as networks of interacting psychiatric symptoms. These direct symptom-symptom interactions can create a vicious cycle of symptom activation, pushing the network to a self-sustaining, dysfunctional phase of psychopathology: a mental disorder. Symptom network models can be estimated from empirical data through statistical models. Although simulation studies have established a relation between the structure of these symptom network models and the probability they end up in a self-sustaining dysfunctional phase, the general stability of the system is left implicit. The general stability includes both the stability of the dysfunctional phase and the stability of the healthy phase. In this paper, we present a

SUBMITTER: Cui J 

PROVIDER: S-EPMC12923465 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature