Psychotherapy Research最新文献

Objective: Interpersonal synchronization is increasingly studied as a biomarker of empathy, therapeutic alliance, and treatment outcome. However, most studies average data over sessions, leaving associations between synchrony and actual interactions largely unexplored. We aim to showcase a novel approach examining synchronization during specific micro-processes: Innovative Moments (IM) as markers of exceptions to clients' problematic patterns of meaning.

Methods: Electrodermal activity was recorded over 15 sessions of a psychodynamic psychotherapy single case. Moment-to-moment patient-therapist synchrony was calculated using the Adaptive Matching Interpolated Correlations (AMICo) algorithm. The Innovative Moments Coding System was utilized to identify IMs within session transcripts with precise timing. Monte-Carlo permutation tests were conducted to examine the association between physiological synchrony and IM Levels of increasing complexity (Levels 1-3).

Results: Higher-than-random synchronization emerged during Level 3 IMs (p = 0.046; d = 0.21) but not in lower Levels. Post-hoc qualitative analyses linked high synchrony to sub-processes of Level 3 IMs, such as positive contrasts and attributions for change.

Conclusion: Our findings show it is possible to link moment-by-moment physiological co-regulation to theoretically identified meaning-making processes. While generalization of these observations is undue, this work demonstrates a robust and promising application of a multimodal approach to investigating psychotherapy, providing insights into both the clinical case and the theoretical model adopted.

Objective: Session-by-session tracking of the working alliance enables clinicians to detect alliance deterioration and intervene accordingly, which has shown to improve treatment outcome, and reduce dropout. Despite this, regular use of alliance self-report measures has failed to gain widespread implementation. We aimed to develop an automated alliance prediction using behavioral features obtained from video-recorded therapy sessions.

Method: A naturalistic dataset of session recordings with patient-ratings of working alliance was available for 252 in-person and teletherapy sessions from 47 patients treated by 10 clinicians. Text and audio-based features were extracted from all 252 sessions. Additional video-based feature extraction was possible for a subsample of 80 sessions. We developed a modeling pipeline for audio and text and for audio, text and video to train machine learning regression models that fuse multimodal features.

Results: Best results were achieved with a Gradient Boosting architecture, when using audio, text, and video features extracted from the patient (ICC = 0.66, Pearson r = 0.70, MAE = 0.33).

Conclusion: Automated alliance prediction from video-recorded therapy sessions is feasible with high accuracy. A data-driven multimodal approach to feature extraction and selection enables powerful models, outperforming previous work.

Objective: This randomized controlled trial investigated the efficacy of dynamic relational group therapy (DRT) relative to group psychodynamic supportive therapy (PST) in improving perfectionism-related attitudes and components of the perfectionistic self-relationship. Method: Based on a comprehensive conceptualization of perfectionism, 80 community-recruited, highly perfectionistic individuals were randomly allocated to 12 sessions of group DRT (n = 41; 5 groups) or group PST (n = 39; 5 groups). Patients completed measures of dysfunctional attitudes, self-criticism, self-esteem, and self-reassurance at pre-, mid-, and post-treatment, and six months post-treatment. Results: Multigroup latent growth curve modeling revealed significant (p < .05) decreases in dysfunctional attitudes, concern over mistakes, two types of self-criticism, and self-esteem problems, along with a significant increase in self-reassurance, from pre-treatment to six-month follow-up in both DRT and PST. Moderate-to-large between-group differences favoring DRT over PST were found for dysfunctional attitudes and self-reassurance. A majority of patients in both conditions maintained reliable improvement at six-month follow-up in dysfunctional attitudes, concern over mistakes, and self-criticism focused on inadequacy. Conclusion: Findings provide evidence for the use of psychodynamic group therapy approaches in treating perfectionism-related attitudes and self-relational elements of perfectionism, and support the relative efficacy of DRT for dysfunctional attitudes and self-reassurance.

Introduction: Flexibility, the ability of an individual to adapt to environmental changes in ways that facilitate goal attainment, has been proposed as a potential mechanism underlying psychopathology and psychotherapy. In psychotherapy, most findings are based on self-report measures that have important limitations. We propose a multimodal, multi-dyad approach based on a nonlinear dynamical systems framework to capture the complexity of this concept.

Method: A new research paradigm was designed to explore the validity of the proposed conceptual model. The paradigm includes a psychotherapy-like social interaction, during which body movement and facial expressiveness data were collected. We analyzed the data using Hankel Alternative View of Koopmann analysis to reconstruct attractors of the observed behaviors and compare them.

Results: The patterns of behavior in the two cases differ, and differences in the reconstructed attractors correspond with differences in self-report measures and behavior in the interactions.

Conclusions: The case studies show that information provided by a single modality is not enough to provide the full picture, and multiple modalities are needed. These observations can serve as an initial support for our claims that a multi-modal and multi-dyad approach to flexibility can address some of the issues of measurement in the field.

Objective: We evaluated whether respiratory sinus arrhythmia (RSA) reactivity and resting RSA-physiological markers reflecting the increase in heart rate with inspiration and decrease during expiration related to parasympathetic influence on the heart-are modifiable and predict symptom change during youth psychotherapy. Methods: Diverse youth (N = 158; ages 7-15; 48.1% female) received the Modular Approach to Therapy for Children and completed pre-treatment (pre), post-treatment (post), and 18-months postbaseline (18Mo) assessments. We measured resting RSA, RSA reactivity during stress induction, and psychopathology symptoms. Results: Pre-to-post and pre-to-18Mo, reactivity decreased, and resting RSA increased. Changes in reactivity and resting RSA, separately, did not predict reduced psychopathology. Yet, decreased reactivity combined with increased resting RSA predicted reduced psychopathology over time, suggesting that observed RSA changes were beneficial for some. Higher dosage of a module utilizing slow-breathing, muscle-relaxation, and imagery predicted greater pre-to-18Mo changes in reactivity and resting RSA, whereas a similar module with less emphasis on slow-breathing did not. Conclusions: Findings raise the possibility that youth reactivity and resting RSA could be modifiable during cognitive behavioral therapy and contribute to the amelioration of psychopathology. More studies are needed to determine whether resting RSA and RSA reactivity are modifiable indices of symptom change in slow-breathing practices and psychotherapy.

Clinicaltrials.gov identifier: NCT03153904, registered May 15, 2017.

AbstractBackground: This special section underscores the potential of multimodal measurement approaches to transform psychotherapy research. A multimodal approach provides a more comprehensive understanding than any single modality (type of collected information) can provide on its own.Methods: Traditionally, clinicians and researchers have relied on their intuition, experience, and training to integrate different types of information in a psychotherapy session/treatment. Increasingly, however, computational methods offer a complementary alternative, enabling more automated, data-driven, and reproducible solutions.Results: The six empirical examples in this special section illustrate the emerging-and often interdisciplinary-methodologies, including text, audio, video, and physiological measures, that are relevant in the psychotherapy setting.Discussion: While each study addressed distinct research questions and employed unique methodologies, they all demonstrated a commitment to leveraging multimodal measurement and tackling the challenges of integrating diverse data sources.

Schema therapy is an effective treatment for personality disorders (PDs). The theory of schema therapy assumes that the decrease of global psychological distress is mediated by change in Early Maladaptive Schemas. The few studies that have investigated a temporal relationship have produced contradictory results. This study examined the temporal relationship between changes in Early Maladaptive Schemas and global psychological distress in Group Schema Therapy (GST) for patients with personality disorders.

Assessments were made of 115 patients at baseline, after 20, 40 and after 60 sessions of treatment. We used the Young Schema Questionnaire (YSQ) to measure the severity of Early Maladaptive Schemas and the Symptom Check List-90 Revisited (SCL-90R) to measure global psychological distress. Linear mixed model analyzes were used to examine the temporal relationship between the initial phase (0-20 and 0-40 sessions) and the later phase (40-60 sessions).

Change in Early Maladaptive Schemas does not precede change in global psychological distress. Conversely, global psychological distress does not precede change in Early Maladaptive Schemas; the improvement in both indicators is concurrent.

In this study, we could not confirm that the decrease of Early Maladaptive Schemas precedes decrease of global psychological distress. We found a concurrent relationship.

Objective: Given the importance of emotions in psychotherapy, valid measures are essential for research and practice. As emotions are expressed at different levels, multimodal measurements are needed for a nuanced assessment. Natural Language Processing (NLP) could augment the measurement of emotions. The study explores the validity of sentiment analysis in psychotherapy transcripts.

Method: We used a transformer-based NLP algorithm to analyze sentiments in 85 transcripts from 35 patients. Construct and criterion validity were evaluated using self- and therapist reports and process and outcome measures via correlational, multitrait-multimethod, and multilevel analyses.

Results: The results provide indications in support of the sentiments' validity. For example, sentiments were significantly related to self- and therapist reports of emotions in the same session. Sentiments correlated significantly with in-session processes (e.g., coping experiences), and an increase in positive sentiments throughout therapy predicted better outcomes after treatment termination.

Discussion: Sentiment analysis could serve as a valid approach to assessing the emotional tone of psychotherapy sessions and may contribute to the multimodal measurement of emotions. Future research could combine sentiment analysis with automatic emotion recognition in facial expressions and vocal cues via the Nonverbal Behavior Analyzer (NOVA). Limitations (e.g., exploratory study with numerous tests) and opportunities are discussed.

Objective: There is a lack of evidence-based scalable therapies for elder abuse victims, with no current remotely delivered tailored psychotherapy. The purpose of this manuscript is to (a) examine the effectiveness of a brief therapy for depression for elder abuse victims, and (b) to compare remote intervention delivery via phone or video to the traditional in-person delivery.

Method: PROTECT, Providing Options to Elderly Clients Together, is a brief therapy developed in collaboration with partners at the Department for the Aging (DFTA) of New York City. During the COVID-19 outbreak, PROTECT delivery shifted from in-person to phone or video delivery. Depression severity was tracked using the Patient Health Questionaire-9 (PHQ-9). Reduction in depression severity was evaluated using a linear mixed effects model with non-inferiority test to compare the effectiveness of video vs in-person delivery of PROTECT.

Results: PROTECT reduced depression (average 5.15 PHQ-9 points). Video and phone delivery were non-inferior to in-person delivery. The video group completed therapy more quickly than the in-person group and had a more rapid improvement in depression symptoms.

Conclusions: PROTECT therapy delivered remotely reduces depression among diverse elder abuse victims. Video delivery of PROTECT could increase reach and scalability to serve more vulnerable older depressed victims.

Objective: Countertransference (CT) has been shown to interfere with therapy goals, and its management is crucial to desired treatment outcomes. As a first step, a clinician's awareness of their covert and overt CT reactions is critical to successfully managing CT. Research on CT awareness is scarce, however, mainly because of difficulties in empirically investigating and measuring this construct. In this study, we sought to develop and validate two instruments: one to measure CT feelings and one to measure CT behaviors.

Method: We developed the Countertransference Feelings Awareness Measure and the Countertransference Behavior Awareness Measure, both composed of 12 items comprising 3 dimensions: dominant, hostile and distant. A sample of 245 Italian and 110 American clinicians participated in the research. Confirmatory factor analysis was conducted to verify the factor structure of the measures. Reliability and invariance analyses were conducted for both measures and both samples.

Results: Factorial structure, reliability, and configural invariance across nationalities of both measures were confirmed.

Conclusion: These tools should prove useful for future research, supervision, theoretical advances, and clinical application, allowing a deeper understanding of how clinicians' awareness of different elements of their CT experience impacts the outcome of therapy..