Dynamic relations between mentalization techniques and therapeutic alliance in psychodynamic child therapy: An evidence-based case study.

Therapeutic alliance and mentalization are common factors inherent to all effective treatments. Mentalization-based interventions have the potential to create a safe relationship, which makes further mentalizing interventions possible. However, to date, no study has examined the bidirectional relationship between these variables in child psychotherapy. In an evidence-based case study design, psychodynamic therapy processes of two Turkish children (age: 9 and 10 years) who presented with social withdrawal problems were compared. All their sessions (34 sessions from Case No. 1 and 31 from Case No. 2) were coded using the Therapy Process Observational Coding System-Alliance Scale and Mentalization-Based Treatment for Children Adherence Scale. Outcome scales pertaining to symptoms, attachment, and mentalization were administered at baseline and at termination. Time-series Granger Causality tests revealed that in the case with clinically significant outcome, mentalization techniques predicted therapeutic alliance in the subsequent sessions, which predicted the use of further mentalization interventions. However, this relationship was not supported in the case with no significant improvement. Selected sessions were clinically analyzed with verbatim session vignettes. Our findings indicate that mentalization techniques in child therapy are closely related to the therapeutic relationship. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The use of mentalization-based techniques in online psychodynamic child psychotherapy.

Objective: Psychodynamic child psychotherapy is an evidence-based approach for a range of child mental health difficulties and needs to constantly adapt to meet the needs of children. This study is the first to investigate whether the use of mentalization-based interventions (i.e., a focus on promoting attention control, emotion regulation, and explicit mentalization) predicted a good therapeutic outcome in online psychodynamic child therapy sessions conducted during the COVID-19 pandemic. Methods: The sample included 51 Turkish children (Mage = 7.43, 49% girls) with mixed emotional and behavioral problems. Independent raters coded 203 sessions from different phases in each child's treatment using the Mentalization-Based Treatment for Children Adherence Scale (MBT-CAS). Results: Multilevel modeling analyses showed children with higher emotional lability benefited more from attention control interventions compared to those with lower emotional lability. Discussion: Interventions that focus on developing the basic building blocks of mentalizing may be effective components of therapeutic action for online delivery of psychodynamic child psychotherapy, especially for children with greater emotional lability.

Multimodal affect analysis of psychodynamic play therapy.

Objective: We explore state of the art machine learning based tools for automatic facial and linguistic affect analysis to allow easier, faster, and more precise quantification and annotation of children's verbal and non-verbal affective expressions in psychodynamic child psychotherapy. Method: The sample included 53 Turkish children: 41 with internalizing, externalizing and comorbid problems; 12 in the non-clinical range. We collected audio and video recordings of 148 sessions, which were manually transcribed. Independent raters coded children's expressions of pleasure, anger, sadness and anxiety using the Children's Play Therapy Instrument (CPTI). Automatic facial and linguistic affect analysis modalities were adapted, developed, and combined in a system that predicts affect. Statistical regression methods (linear and polynomial regression) and machine learning techniques (deep learning, support vector regression and extreme learning machine) were used for predicting CPTI affect dimensions. Results: Experimental results show significant associations between automated affect predictions and CPTI affect dimensions with small to medium effect sizes. Fusion of facial and linguistic features work best for pleasure predictions; however, for other affect predictions linguistic analyses outperform facial analyses. External validity analyses partially support anger and pleasure predictions. Discussion: The system enables retrieving affective expressions of children, but needs improvement for precision.

Monitoring Nonlinear Dynamics of Change in a Single Case of Psychodynamic Play Therapy.

A systematic single case study with a mixed quantitative and qualitative methodology was conducted to investigate the nonlinear dynamics of change in play profiles of a child in psychodynamic play therapy. The first aim of the study was to cluster the different features of play characteristics (i.e., descriptive, cognitive, affective, and social characteristics of play, and the defensive strategies used in play) in order to construct the different play profiles of this child, and secondly to assess the transitions between profiles over the course of treatment. It was expected that there would be an increase in critical fluctuations during the transitions between the profiles and an increase in the variability of play profiles. Results showed that the child's play characteristics clustered into eight states and three attractors. The Markov Transition Matrix showed how play profiles evolved over time. Entropy analyses comparing the first and the second half of therapy showed an increase in variability. Qualitative analyses indicated the importance of expression of the child's underlying fear, and its integration with overt anger in the generation of the new play profiles. The results indicate an increase in variability, and a destabilization of old play profiles that were used towards generating new play profiles.

An empirical analysis of mental state talk and affect regulation in two single-cases of psychodynamic child therapy.

Literature has shown the importance of mentalizing techniques in symptom remission and emotional understanding; however, no study to date has looked at the dynamic relations between mental state talk and affect regulation in the psychotherapy process. From a psychodynamic perspective, the emergence of the child's capacity to regulate affect through the therapist's reflection on the child's mental states is a core aspect of treatment. In an empirical investigation of 2 single cases with separation anxiety disorder, who were treated in long-term psychodynamic play therapy informed with mentalization principles, the effect of therapists' and children's use of mental state talk on children's subsequent capacity to regulate affect in play was assessed. One case was a positive outcome case, whereas the other did not show symptomatic improvement at the end of treatment. Children's and therapists' utterances in the sessions were coded using the Coding System for Mental State Talk in Narratives, and children's play was coded by Children's Play Therapy Instrument, which generated an index of children's "affect regulation." Time-series Granger Causality tests showed that even though both therapists' use of mental state talk significantly predicted children's subsequent affect regulation, the association between child's mental state talk and affect regulation was only supported for the child who showed clinically significant symptom reduction. This study provided preliminary support that mental state talk in psychodynamic psychotherapy facilitates emotion regulation in play. (PsycINFO Database Record