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A Phenomenological Reappraisal of Dynamical Systems in Psychopathology.

Evan J Kyzar, George H Denfield, Jasper Feyaerts, Louis Sass, Barnaby Nelson

Psychopathology August 18, 2025 DOI: 10.1159/000548025 via PubMed

Summary

AI-generated from the abstract

Integrating methods from phenomenology can strengthen the application of dynamical systems theory (DST) in psychopathology research. Phenomenological psychopathology improves DST-based investigations by specifying core symptoms more precisely through a focus on subjective experiences and by deepening theoretical understanding of how symptoms evolve in severity over time. Using clinical high risk for psychosis as a test case, the article demonstrates the utility of combining phenomenologically informed theory and DST, examining the ipseity-disturbance model of psychosis development. The authors offer a vision for broader integration of DST and phenomenological research methods to better understand and predict psychiatric disorders and transitions in mental health states.

Study at a glance

Characteristics Theoretical or philosophical paper Peer reviewed
Topics Philosophy of mind
Keywords Delusions Dynamical systems Psychosis Subjective experiences
Citations 1
Key finding Integrating phenomenological methods with dynamical systems theory can improve the specification of core symptoms and theoretical understanding of symptom evolution in psychopathology research.

Abstract

Dynamical systems theory (DST) has recently gained traction as a framework to describe and predict the progression of psychopathology. However, a number of challenges to the application of DST to psychopathology have arisen, including the heterogeneity of symptom measures and the lack of theoretical underpinnings to describe the temporal unfolding of psychiatric illnesses. In this article, we aim to show how the integration of methods from phenomenology may strengthen the application of DST in psychopathology research. We explore how phenomenological psychopathology can improve DST-based investigations in two key ways: (1) by specifying the core symptoms of interest in psychopathological states in a more precise manner by focusing on subjective experiences, and (2) by deepening our theoretical understanding of how these symptoms evolve in severity over time. We show how incorporating phenomenologically informed measures of experience can complement DST using clinical high risk (CHR) for psychosis as a test case, and we demonstrate the utility of combining phenomenologically informed theory and DST by examining the ipseity-disturbance model (IDM) of psychosis development. We close by offering a vision for the broader integration of DST and phenomenological research methods within psychopathological research. Phenomenological investigations can synergize with and advance the use of DST to better understand and predict psychiatric disorders and transitions in states of mental health.

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