Acceptance, Safety, and Effect Sizes in Online Dialectical Behavior Therapy for Borderline Personality Disorder: Interventional Pilot Study.

Background: The potential of telehealth psychotherapy (ie, the online delivery of treatment via a video web-based platform) is gaining increased attention. However, there is skepticism about its acceptance, safety, and efficacy for patients with high emotional and behavioral dysregulation.

Objective: This study aims to provide initial effect size estimates of symptom change from pre- to post treatment, and the acceptance and safety of telehealth dialectical behavior therapy (DBT) for individuals diagnosed with borderline personality disorder (BPD).

Exposure therapy consortium: Outcomes of the proof-of-principle study.

Background: This paper reports on the outcomes of a proof-of-principle study for the Exposure Therapy Consortium, a global network of researchers and clinicians who work to improve the effectiveness and uptake of exposure therapy. The study aimed to test the feasibility of the consortium's big-team science approach and test the hypothesis that adding post-exposure processing focused on enhancing threat reappraisal would enhance the efficacy of a one-session large-group interoceptive exposure therapy protocol for reducing anxiety sensitivity.

Methods: The study involved a multi-site cluster-randomized controlled trial comparing exposure with post-processing (ENHANCED), exposure without post-processing (STANDARD), and a stress management intervention (CONTROL) in students with elevated anxiety sensitivity.

Advancing the personalized advantage index (PAI): a systematic review and application in two large multi-site samples in anxiety disorders.

Background: The Personalized Advantage Index (PAI) shows promise as a method for identifying the most effective treatment for individual patients. Previous studies have demonstrated its utility in retrospective evaluations across various settings. In this study, we explored the effect of different methodological choices in predictive modelling underlying the PAI.

A Blended Learning Course on the Diagnostics of Mental Disorders: Multicenter Cluster Randomized Noninferiority Trial.

Background: Clinical diagnoses determine if and how therapists treat their patients. As misdiagnoses can have severe adverse effects, disseminating evidence-based diagnostic skills into clinical practice is highly important.

Objective: This study aimed to develop and evaluate a blended learning course in a multicenter cluster randomized controlled trial.

The effect of positive mental imagery versus positive verbal thoughts on anhedonia.

Anhedonia, the loss of interest in and pleasure from previously enjoyable activities is a core symptom of depression and presents a major challenge to treatments. Interventions involving positive mental imagery generation have been suggested to reduce anhedonia. However, it is not clear whether the imagery component of such interventions is crucial for these effects.

Differential effects of trait-like emotion regulation use and situational emotion regulation ability across the affective and anxiety disorders spectrum: a transdiagnostic examination.

Here, we investigated the association of different emotion regulation (ER) indices with symptom severity across a large transdiagnostic sample of patients with emotional disorders (cross-sectional approach) and the predictive validity these ER indices have for the outcome of routine care CBT (longitudinal approach). We assessed the trait-like use of adaptive (reappraisal) and maladaptive (suppression, externalizing behaviors) ER strategies via questionnaire as well as the situational ability to regulate emotions with an experimental ER paradigm. Psychopathology was assessed dimensionally using the depression, anxiety, and stress scale.

Results of a randomized waitlist-controlled trial of online cognitive behavioral sex therapy and online mindfulness-based sex therapy for hypoactive sexual desire dysfunction in women.

Objective: This study aimed to investigate the efficacy of two internet-delivered psychological treatments for hypoactive sexual desire dysfunction (HSDD) in women: internet-based cognitive behavioral sex therapy (iCBST) and internet-based mindfulness-based sex therapy (iMBST).

Method: Women with HSDD were randomly assigned to one of three groups: iCBST, iMBST, or a waitlist control group. The interventions consisted of eight modules delivered via an e-health platform with e-coach support to enhance adherence.

Investigating the role of mental imagery use in the assessment of anhedonia.

Anhedonia, or a deficit in the liking, wanting, and seeking of rewards, is typically assessed via self-reported "in-the-moment" emotional and motivational responses to reward stimuli and activities. Given that mental imagery is known to evoke emotion and motivational responses, we conducted two studies to investigate the relationship between mental imagery use and self-reported anhedonia. Using a novel Reward Response Scale (adapted from the Dimensional Anhedonia Rating Scale, DARS; Rizvi et al.

Inducing positive involuntary mental imagery in daily life using personalized photograph stimuli.

Most people experience positive involuntary mental imagery (IMI) frequently in daily life; however, evidence for the importance and effects of positive IMI is largely indirect. The current study adapted a paradigm to experimentally induce positive IMI in participants' daily lives. This could in turn provide a means to directly test positive IMI's effects.

Less smartphone and more physical activity for a better work satisfaction, motivation, work-life balance, and mental health: An experimental intervention study.

Employees' work satisfaction and mental health are crucial for an organization's productivity. The current experimental study on employees (N = 278) from different professional sectors and workplaces in Germany investigated how to improve both by changes of daily non-work-related smartphone use time and physical activity time. For one week, the smartphone group (N = 73) reduced its daily smartphone use by one hour, the physical activity group (N = 69) increased its daily physical activity by 30 minutes, the combination group (N = 72) followed both interventions, the control group (N = 64) did not change its behavior.

Small basis set density functional theory method for cost-efficient, large-scale condensed matter simulations.

We present an efficient first-principles based method geared toward reliably predicting the structures of solid materials across the Periodic Table. To this end, we use a density functional theory baseline with a compact, near-minimal min+s basis set, yielding low computational costs and memory demands. Since the use of such a small basis set leads to systematic errors in chemical bond lengths, we develop a linear pairwise correction, available for elements Z = 1-86 (excluding the lanthanide series), parameterized for use with the Perdew-Burke-Ernzerhof exchange-correlation functional.

The Efficacy of Web-Based Cognitive Behavioral Therapy With a Shame-Specific Intervention for Social Anxiety Disorder: Randomized Controlled Trial.

Background: Social anxiety disorder (SAD) is one of the most prevalent psychological disorders and generally co-occurs with elevated shame levels. Previous shame-specific interventions could significantly improve outcomes in social anxiety treatments. Recent review suggests that integrating a more direct shame intervention could potentially increase the effectiveness of cognitive behavioral therapy.

Obtaining Robust Density Functional Tight-Binding Parameters for Solids across the Periodic Table.

The density functional tight-binding (DFTB) approach allows electronic structure-based simulations at length and time scales far beyond what is possible with first-principles methods. This is achieved by using minimal basis sets and empirical approximations. Unfortunately, the sparse availability of parameters across the periodic table is a significant barrier to the use of DFTB in many cases.

Teachers' competence: How to protect teachers' mental health from the burden caused by students' private in-class use of technical devices?

The current study investigated how students' private in-class use of technical devices is associated with teachers' mental health. Data of 361 teachers from primary and secondary schools in Germany were assessed via online surveys. The present cross-sectional results show a positive association between burden caused by the students' private in-class use of technical devices and teachers' depression symptoms.

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.

Lack of evidence for predictive utility from resting state fMRI data for individual exposure-based cognitive behavioral therapy outcomes: A machine learning study in two large multi-site samples in anxiety disorders.

Data-based predictions of individual Cognitive Behavioral Therapy (CBT) treatment response are a fundamental step towards precision medicine. Past studies demonstrated only moderate prediction accuracy (i.e.

The Relationship between Reasons for Smartphone Use, Addictive Use Tendencies, Fear of Missing Out, Depression, and Life Satisfaction: A Qualitative and Quantitative Analysis.

Introduction: In the present cross-sectional study, we investigated whether reasons for smartphone use are similar to those of social media use. Also, we explored links between reasons of smartphone use and mental health variables (problematic smartphone use, FOMO, depression symptoms, and life satisfaction) in Germany during the COVID-19 lockdown period.

Methods: Overall, 571 smartphone users (Mage = 31.

Neural graph distance embedding for molecular geometry generation.

This article introduces neural graph distance embedding (nGDE), a method for generating 3D molecular geometries. Leveraging a graph neural network trained on the OE62 dataset of molecular geometries, nGDE predicts interatomic distances based on molecular graphs. These distances are then used in multidimensional scaling to produce 3D geometries, subsequently refined with standard bioorganic forcefields.

The "bubbles"-study: Validation of ultra-short scales for the assessment of depression, anxiety and stress symptoms.

Depression, anxiety and stress symptoms cause substantial psychological and economic burdens around the globe. To mitigate the negative consequences, the negative symptoms should be identified at an early stage. Therefore, the implementation of very brief valid screening tools in mental health prevention programs and in therapeutic settings is advantageous.