In search of lost time: Discrete- versus continuous-time models of working alliance and symptom severity.

Objective: The therapeutic alliance is one of the most stable predictors of symptom burden over the course of therapy. So far, this effect has only been examined on the basis of sessions. Continuous-time models (CTM) allow this relationship to be modeled as a continuous process in which the actual time interval between measurements is considered.

[The Effect of Therapists' Interpersonal Skills on Therapeutic Alliance].

Objective: Therapists' interpersonal skills play a significant role in outcome differences between therapists. Similarly, the strength of the therapeutic alliance is influenced by therapist characteristics. Therefore, the aim of this study was to capture therapist differences in the alliance and to examine the effect of therapists' interpersonal skills on the therapeutic alliance.

If You Give a Therapist a Network: A Qualitative Analysis of Therapists' Reactions to Their Patients' EMA-Based Network Models.

Objective: Network models hold much promise for use in the form of personalized feedback, which the TheraNet Project aims to investigate. In the present study, we share therapists' first reactions to patient network models based on ecological momentary assessment (EMA) data.

Method: Therapists (N = 24) were taught to interpret the network models based on their patient's data.

Emotion regulation use in daily-life and its association with success of emotion-regulation, self-efficacy, stress, and state rumination.

Introduction: Investigations on emotion regulation strategies (ERS) primarily focus on the influence of instructed emotion regulation (ER) on outcomes. However, recent work has shown that selection of ERS is dependent on, e.g.

When Average Isn't Good Enough: Identifying Meaningful Subgroups in Clinical Data.

Background: Clinical data are usually analyzed with the assumption that knowledge gathered from group averages applies to the individual. Doing so potentially obscures patients with meaningfully different trajectories of therapeutic change. Needed are "idionomic" methods that first examine idiographic patterns before nomothetic generalizations are made.

From Theory to Practice: A Transtheoretical Treatment and Training Model (4TM).

Background: In this paper, we present the conceptual background and clinical implications of a research-based transtheoretical treatment and training model (4TM).

Method: The model implements findings from psychotherapy outcome, process, and feedback research into a clinical and training framework that is open to future research.

Results: The framework is based on interventions targeting patient processes on a behavioral, cognitive, emotional, motivational, interpersonal, and systemic/socio-cultural level.

Web-Based Cognitive Behavioral Treatment for Bulimia Nervosa: A Randomized Clinical Trial.

Importance: Despite the existence of effective treatments, many individuals with bulimia nervosa (BN) do not receive evidence-based therapies. Integrating digital interventions into routine care might reach more patients and reduce the clinical burden of BN.

Objective: To evaluate the effectiveness of a web-based cognitive behavioral self-help intervention for individuals with BN.

The long shadow of early-change patterns: a 3-year follow-up after the use of a web-based intervention for mild to moderate depressive symptoms.

Web-based interventions can be effective in treating depressive symptoms. Patients with risk not responding to treatment have been identified by early change patterns. This study aims to examine whether early changes are superior to baseline parameters in predicting long-term outcome.

Love yourself as a therapist, doubt yourself as an institution? Therapist and institution effects on outcome, treatment length, and dropout.

Objective: Research suggests that some therapists achieve better outcomes than others. However, an overlooked area of study is how institution differences impact patient outcomes independent of therapist variance. This study aimed to examine the role of institution and therapist differences in adult outpatient psychotherapy.

Neural correlates of stress-reactive rumination in depression - The role of childhood trauma and social anxiety.

Recent work showed an association of prefrontal dysfunctions in patients with Major Depressive Disorder (MDD) and social stress induced rumination. However, up to date it is unclear which etiological features of MDD might cause prefrontal dysfunctions. In the study at hand, we aimed to replicate recent findings, that showed prefrontal activation alterations during the Trier Social Stress Test (TSST) and subsequently increased stress-reactive rumination in MDD compared to healthy controls.

The relationship between interpersonal problems and therapeutic alliance in psychotherapy: A three-level mixed-effects meta-analysis.

Psychotherapy is an interpersonal process of collaboration toward specified treatment goals. The therapeutic alliance is well established as an important factor of psychotherapeutic change. However, the experience of distress in social interactions, commonly referred to as interpersonal problems, might be interfering with the collaborative process during psychotherapy.

Effectiveness of a Web-Based Cognitive Behavioral Self-Help Intervention for Binge Eating Disorder: A Randomized Clinical Trial.

Importance: Binge eating disorder (BED) is one of the most frequent eating pathologies and imposes substantial emotional and physical distress, yet insufficient health care resources limit access to specialized treatment. Web-based self-help interventions emerge as a promising solution, offering more accessible care.

Objective: To examine the effectiveness of a web-based cognitive behavioral self-help intervention for individuals with BED.

What time-varying network models based on functional analysis tell us about the course of a patient's problem.

Relations among psychological variables are assumed to be complex and to vary over time. Personalized networks can model multivariate complex interactions. The development of time-varying networks allows to model the variation of parameters over time.

Measuring Alliance and Symptom Severity in Psychotherapy Transcripts Using Bert Topic Modeling.

We aim to use topic modeling, an approach for discovering clusters of related words ("topics"), to predict symptom severity and therapeutic alliance in psychotherapy transcripts, while also identifying the most important topics and overarching themes for prediction. We analyzed 552 psychotherapy transcripts from 124 patients. Using BERTopic (Grootendorst, 2022), we extracted 250 topics each for patient and therapist speech.

Exploring the complex interrelation between depressive symptoms, risk, and protective factors: A comprehensive network approach.

Background: Depressive symptoms seem to be interrelated in a complex and self-reinforcing way. To gain a better understanding of this complexity, the inclusion of theoretically relevant constructs (such as risk and protective factors) offers a comprehensive view into the complex mechanisms underlying depression.

Methods: Cross-sectional data from individuals diagnosed with a major depressive disorder (N = 986) and healthy controls (N = 1049) were analyzed.

Decoding emotions: Exploring the validity of sentiment analysis in psychotherapy.

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.

Evaluation of an online-based self-help program for patients with generalized anxiety disorder - A randomized controlled trial.

Objectives: This study aimed to evaluate the effects of an online self-help intervention for generalized anxiety disorder (GAD). Our primary outcomes were generalized anxiety symptoms, measured using the Generalized Anxiety Disorder - 7 (GAD-7; Spitzer et al., 2006), and wellbeing based on the World Health Organization Wellbeing Index - 5 (WHO-5; Topp et al.

To Use or Not to Use: Exploring Therapists' Experiences with Pre-Treatment EMA-Based Personalized Feedback in the TheraNet Project.

Background: Using idiographic network models in psychotherapy has been a growing area of interest. However, little is known about the perceived clinical utility of network models. The present study aims to explore therapists' experiences with network model-based feedback within the context of the TheraNet Project.

Treatment credibility as a mechanism of change in cognitive behavioral therapy: Effects on depression and anxiety.

Objective: This study aimed to provide evidence for treatment credibility (TC) as a potential mechanism of change in cognitive behavioral therapy (CBT). Therefore, it focused on within-person effects that are free of the influence of stable characteristics and thus allow to exclude certain alternative explanations for the association under study.

Method: The sample included 1,423 patients receiving outpatient CBT, who presented a wide variety of psychiatric diagnoses (mostly affective and anxiety disorders).

To detrend, or not to detrend, that is the question? The effects of detrending on cross-lagged effects in panel models.

Intervention studies in psychology often focus on identifying mechanisms that explain change over time. Cross-lagged panel models (CLPMs) are well suited to study mechanisms, but there is a controversy regarding the importance of detrending-defined here as separating longer-term time trends from cross-lagged effects-when modeling these change processes. The aim of this study was to present and test the arguments for and against detrending CLPMs in the presence of an intervention effect.