Effects on impulsivity and delay discounting of intermittent theta burst stimulation add-on to dialectical behavioral therapy in borderline personality disorder: a randomized, sham-controlled pilot trial.

Background: Dialectical behavioral therapy (DBT) and repetitive transcranial magnetic stimulation (rTMS) are both effective in treating borderline personality disorder (BPD). Impulsivity and impaired decision-making are prominent features of BPD, and therapeutic interventions targeting these symptoms could lead to significant improvements.

Objective/hypothesis: We hypothesized that intermittent theta burst stimulation (iTBS), a modified rTMS protocol that targets the left dorsolateral prefrontal cortex, would enhance the therapeutic effects of DBT, leading to greater improvements in impulsivity and decision-making compared with sham stimulation.

[Rapid Assessment of Future Pandemic Effects in Individuals with Severe Mental Illness: Can Ongoing Population-Representative Cohorts Contribute?].

To provide an overview of ongoing cohorts including severely mentally ill patients to study collateral effects of pandemics.Systematic literature search.None of the ongoing German health cohorts includes people with severe mental illness (SMI).

Do coping strategies mediate the effects of childhood adversities and traumata on clinical high-risk of psychosis, depression, and social phobia? A cross-sectional study on patients of an early detection service.

Background: Childhood adversities and traumata (CAT) increase the risk for various mental disorders, including the clinical high-risk of psychosis (CHR-P) state and its main comorbidities, i.e., depression, and social phobia.

Prevalence of depressive symptoms in people aged 50 years and older: A retrospective cross-sectional study.

Background: Depression is a serious health problem worldwide and is often associated with disability and reduced quality of life. In aging societies, early recognition of depression in older adults is highly relevant. Therefore, this study investigated the prevalence of depressive symptoms in individuals aged 50 and older with the aim to identify those at risk for major depression.

BMIgap: a new tool to quantify transdiagnostic brain signatures of current and future weight.

Understanding the neurobiological underpinnings of weight gain could reduce excess mortality and improve long-term trajectories of psychiatric disorders. We used support-vector machines and whole-brain voxel-wise grey matter volume to generate and validate a BMI predictor in healthy individuals (N = 1504) and applied it to individuals with schizophrenia (SCZ,N = 146), clinical high-risk states for psychosis (CHR,N = 213) and recent-onset depression (ROD,N = 200). We computed BMIgap (BMI-BMI), interrogated its brain-level overlaps with SCZ and explored whether BMIgap predicted weight gain at 1- and 2-year follow-up.