Convergent Validation of Methods for the Identification of Psychotherapeutic Phase Transitions in Time Series of Empirical and Model Systems

Frontiers in Psychology

article

Günter Schiepek¹  Helmut Schöller¹  Giulio de Felice³  Sune Vork Steffensen⁵  Marie Skaalum Bloch⁷  Clemens Fartacek¹  Wolfgang Aichhorn¹  Kathrin Viol¹ 

[1] Institute of Synergetics and Psychotherapy Research, University Hospital of Psychiatry, Paracelsus Medical University;Department of Psychology, Ludwig Maximilian University of Munich;Department of Dynamic and Clinical Psychology, Sapienza University of Rome;Faculty of Psychology, NCIUL University, United Kingdom;Centre for Human Interactivity, Department of Language and Communication, University of Southern Denmark;Center for Ecolinguistics, South China Agricultural University;Outpatient Clinic of Anxiety Disorders and Personality Disorders, Brønderslev Psychiatric Hospital

关键词: self-organization;    phase transitions;    pattern identification;    nonlinear methods;    change points;    real-time monitoring;    phase-transition detection algorithm;    PTDA;   

DOI  :  10.3389/fpsyg.2020.01970

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

Aim In many cases, the dynamics of psychotherapeutic change processes is characterized by sudden and critical transitions. In theoretical terms, these transitions may be “phase transitions” of self-organizing nonlinear systems. Meanwhile, a variety of methods is available to identify phase transitions even in short time series. However, it is still an open question if different methods for timeseries analysis reveal convergent results indicating the moments of critical transitions and related precursors.

【 授权许可】

CC BY