Skip to content

Integrating dynamical systems theory and phenomenology to enhance early identification and treatment of psychotic disorders.

Jasper Feyaerts, Pavan S Brar, Louis Sass, Barnaby Nelson

The Lancet Psychiatry March 1, 2026 DOI: 10.1016/s2215-0366(25)00244-5 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Theoretical or philosophical paper Longitudinal Peer reviewed
Topics Philosophy of mind
Citations 1
Key points Argues that integrating dynamical systems theory with the phenomenological self-disturbance model can specify causal processes in psychosis to improve prediction and early personalized intervention.

Abstract

In the past three decades, psychiatric research has increasingly focused on the early subthreshold stages of psychosis, with the aim of improving the early identification and treatment of individuals at increased risk of psychotic disorder. Yet, despite considerable research effort, current early psychosis research faces several limitations. In this Personal View, we consider how integrating principles and insights from dynamical systems theory and the phenomenological self-disturbance model of schizophrenia can enhance understanding and prediction of psychosis (on both an individual and group level). We argue that this integration allows the specification of causal processes-ie, distinctive alterations of self-awareness and reality-awareness-whose dynamics can be modelled in dynamical systems terms to anticipate future onset and recurrence of psychotic episodes. We consider how insights afforded by this approach could help to improve early personalised and targeted therapeutic intervention. Empirical hypotheses emerging from this model require testing through intensive longitudinal designs and assessment approaches informed by phenomenological research. To conclude, we discuss theoretical and methodological challenges related to the implementation of our proposal.

Comparable studies

Other theoretical and historical papers on philosophy of mind, most cited first.

Citations in the library

Explore topics