Evidence map›Paper›PMID 40825326›Full record

ReviewPsychopathology2025

A Phenomenological Reappraisal of Dynamical Systems in Psychopathology.

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

Abstract readReview
In one paragraph

Review in Psychopathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Evan J KyzarDepartment of Psychiatry, Columbia University, New York State Psychiatric Institute, New York, New York, USA.
George H DenfieldDepartment of Psychiatry, Columbia University, New York State Psychiatric Institute, New York, New York, USA.
Jasper FeyaertsDepartment of Psychoanalysis & Clinical Consulting, Ghent University, Ghent, Belgium.
Louis SassDepartment of Clinical Psychology, Rutgers University, Piscataway, New Jersey, USA.
Barnaby NelsonOrygen, Parkville, Victoria, Australia.

Funding

NIAAA NIH HHS L70 AA032773NIMH NIH HHS L70 MH134315
6 · The paper itself

Abstract

backgroundDynamical 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. SUMMARY: 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. KEY MESSAGES: 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.

Indexed as

DelusionsDynamical systemsPhenomenologyPsychosisSubjective experiences

Identifiers

PMID40825326
PMCPMC12377459

What Socratic holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.