ArticleCognitive neurodynamics2018
Personality development in psychotherapy: a synergetic model of state-trait dynamics.
Article in Cognitive neurodynamics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Emotional pathways linking relative deprivation experiences to conspiracy beliefs: a mini-meta-analysis.BMC psychology · 2026Pooled it
- Analyzing multidimensional formal dynamic models in psychology: A tutorial using graphical tools.Behavior research methods · 2026Article
- The complexity of interpersonal physiology during rupture and repair episodes in the treatment of borderline personality disorder: a proof-of-concept multimethod single case study of verbal and non-verbal interactional dynamics.Frontiers in psychology · 2024Article
- Features of Self-Organization during the Process of Mindfulness-Based Stress Reduction: A Single Case Study.Entropy (Basel, Switzerland) · 2023Article
- Understanding the role of emotion and expertise in psychotherapy: An application of dynamical systems mathematical modeling to an entire course of therapy.Frontiers in psychiatry · 2023Article
- Detecting pattern transitions in psychological time series - A validation study on the Pattern Transition Detection Algorithm (PTDA).PloS one · 2022Article
- Localizing confined epileptic foci in patients with an unclear focus or presumed multifocality using a component-based EEG-fMRI method.Cognitive neurodynamics · 2021Article
- Energy features in spontaneous up and down oscillations.Cognitive neurodynamics · 2021Article
- Multi-level assessment of obsessive-compulsive disorder (OCD) reveals relations between neural and neurochemical levels.BMC psychiatry · 2020Article
- A complex systems approach to the study of change in psychotherapy.BMC medicine · 2020Article
- Convergent Validation of Methods for the Identification of Psychotherapeutic Phase Transitions in Time Series of Empirical and Model Systems.Frontiers in psychology · 2020Article
- A Phase Transition of the Unconscious: Automated Text Analysis of Dreams in Psychoanalytic Psychotherapy.Frontiers in psychology · 2020Article
- The Therapy Process Questionnaire - Factor analysis and psychometric properties of a multidimensional self-rating scale for high-frequency monitoring of psychotherapeutic processes.Clinical psychology & psychotherapy · 2019Article
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Authors and funding
5 authors.
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Abstract
Theoretical models of psychotherapy not only try to predict outcome but also intend to explain patterns of change. Studies showed that psychotherapeutic change processes are characterized by nonlinearity, complexity, and discontinuous transitions. By this, theoretical models of psychotherapy should be able to reproduce these dynamic features. Using time series derived from daily measures through internet-based real-time monitoring as empirical reference, we earlier presented a model of psychotherapy which includes five state variables and four trait variables. In mathematical terms, the traits modulate the shape of the functions which define the nonlinear interactions between the variables (states) of the model. The functions are integrated into five coupled nonlinear difference equations. In the present paper, we model how traits (dispositions or competencies of a person) can continuously be altered by new experiences and states (cognition, emotion, behavior). Adding equations that link states to traits, this model not only describes how therapeutic interventions modulate short-term change and fluctuations of psychological states, but also how these can influence traits. Speaking in terms of Synergetics (theory of self-organization in complex systems), the states correspond to the order parameters and the traits to the control parameters of the system. In terms of psychology, trait dynamics is driven by the states-i.e., by the concrete experiences of a client-and creates a process of personality development at a slower time scale than that of the state dynamics (separation of time scales between control and order parameter dynamics).
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