In Pursuit of Recovery: A Comparative Study of Stakeholder Perspectives on Outcomes of People with Psychosis.

There is no consensus on the definition of recovery of people with psychosis. This may be attributed to the broad concept including clinical, functional and personal recovery domains and the diverse interests of stakeholders involved. We hypothesized that service users, informal caregivers and healthcare professionals would exhibit differences in prioritization, reflecting varying roles and viewpoints.

Psychosis Prognosis Predictor: A continuous and uncertainty-aware prediction of treatment outcome in first-episode psychosis.

Introduction: Machine learning models have shown promising potential in individual-level outcome prediction for patients with psychosis, but also have several limitations. To address some of these limitations, we present a model that predicts multiple outcomes, based on longitudinal patient data, while integrating prediction uncertainty to facilitate more reliable clinical decision-making.

Material And Methods: We devised a recurrent neural network architecture incorporating long short-term memory (LSTM) units to facilitate outcome prediction by leveraging multimodal baseline variables and clinical data collected at multiple time points.

Non-linear development of brain morphometry in child and adolescent offspring of individuals with bipolar disorder or schizophrenia.

Offspring of parents with severe mental illness (e.g., bipolar disorder or schizophrenia) are at increased risk of developing psychopathology.

Heterogeneity of morphometric similarity networks in health and schizophrenia.

Introduction: Morphometric similarity is a recently developed neuroimaging phenotype of inter-regional connectivity by quantifying the similarity of a region to other regions based on multiple MRI parameters. Altered average morphometric similarity has been reported in psychotic disorders at the group level, with considerable heterogeneity across individuals. We used normative modeling to address cross-sectional and longitudinal inter-individual heterogeneity of morphometric similarity in health and schizophrenia.

[Reasons for non-participation in a patient survey in the context of prehospital emergency medical care by community emergency paramedics - A retrospective observational study].

Background: In order to evaluate whether the new rescue means "community emergency paramedics" (Gemeindenotfallsanitäter [G-NFS]) relieves the emergency medical service (EMS) in the care of low-priority emergencies, the perspective of general practitioners and patients was also surveyed in a written questionnaire as part of an innovation fund project. Recruitment for participation in the study proved to be difficult. The aim of this study is to evaluate why the G-NFS decided against providing information on study participation and what measures would be necessary to include more emergency patients in surveys in the future.

Accelerated Cortical Thinning in Schizophrenia Is Associated With Rare and Common Predisposing Variation to Schizophrenia and Neurodevelopmental Disorders.

Background: Schizophrenia is a highly heritable disorder characterized by increased cortical thinning throughout the life span. Studies have reported a shared genetic basis between schizophrenia and cortical thickness. However, no genes whose expression is related to abnormal cortical thinning in schizophrenia have been identified.

Genomic loci influence patterns of structural covariance in the human brain.

Normal and pathologic neurobiological processes influence brain morphology in coordinated ways that give rise to patterns of structural covariance (PSC) across brain regions and individuals during brain aging and diseases. The genetic underpinnings of these patterns remain largely unknown. We apply a stochastic multivariate factorization method to a diverse population of 50,699 individuals (12 studies and 130 sites) and derive data-driven, multi-scale PSCs of regional brain size.

Revealing the impact of psychiatric comorbidities on treatment outcome in early psychosis using counterfactual model explanation.

Introduction: Psychiatric comorbidities have a significant impact on the course of illness in patients with schizophrenia spectrum disorders. To accurately predict outcomes for individual patients using computerized prognostic models, it is essential to consider these comorbidities and their influence.

Methods: In our study, we utilized a multi-modal deep learning architecture to forecast symptomatic remission, focusing on a multicenter sample of patients with first-episode psychosis from the OPTiMiSE study.

fMRI connectivity as a biomarker of antipsychotic treatment response: A systematic review.

Background: Antipsychotic drugs are the first-choice therapy for psychotic episodes, but antipsychotic treatment response (AP-R) is unpredictable and only becomes clear after weeks of therapy. A biomarker for AP-R is currently unavailable. We reviewed the evidence for the hypothesis that functional magnetic resonance imaging functional connectivity (fMRI-FC) is a predictor of AP-R or could serve as a biomarker for AP-R in psychosis.

Accelerated brain aging as a biomarker for staging in bipolar disorder: an exploratory study.

Background: Two established staging models outline the longitudinal progression in bipolar disorder (BD) based on episode recurrence or inter-episodic functioning. However, underlying neurobiological mechanisms and corresponding biomarkers remain unexplored. This study aimed to investigate if global and (sub)cortical brain structures, along with brain-predicted age difference (brain-PAD) reflect illness progression as conceptualized in these staging models, potentially identifying brain-PAD as a biomarker for BD staging.

[Health Services research in Germany in Times of COVID-19: How Does the Pandemic Influence Research Processes, Methods and the Personal Situation of Researchers? An Online Survey].

The COVID-19 pandemic has a massive impact on social life, the healthcare system, and also on health services research. However, the effects of the pandemic on research processes, methods, and the personal situation of researchers has not been investigated so far. Guided by the question of how research processes and methods are adapted to the challenges posed by COVID-19 and how researchers perceive the impact of the pandemic on their personal situation, an online survey of health services researchers was conducted from June to July 2021.

Psychosis brain subtypes validated in first-episode cohorts and related to illness remission: results from the PHENOM consortium.

Using machine learning, we recently decomposed the neuroanatomical heterogeneity of established schizophrenia to discover two volumetric subgroups-a 'lower brain volume' subgroup (SG1) and an 'higher striatal volume' subgroup (SG2) with otherwise normal brain structure. In this study, we investigated whether the MRI signatures of these subgroups were also already present at the time of the first-episode of psychosis (FEP) and whether they were related to clinical presentation and clinical remission over 1-, 3-, and 5-years. We included 572 FEP and 424 healthy controls (HC) from 4 sites (Sao Paulo, Santander, London, Melbourne) of the PHENOM consortium.

Assessment of Neuroanatomical Endophenotypes of Autism Spectrum Disorder and Association With Characteristics of Individuals With Schizophrenia and the General Population.

Importance: Autism spectrum disorder (ASD) is associated with significant clinical, neuroanatomical, and genetic heterogeneity that limits precision diagnostics and treatment.

Objective: To assess distinct neuroanatomical dimensions of ASD using novel semisupervised machine learning methods and to test whether the dimensions can serve as endophenotypes also in non-ASD populations.

Design, Setting, And Participants: This cross-sectional study used imaging data from the publicly available Autism Brain Imaging Data Exchange (ABIDE) repositories as the discovery cohort.

Making a voice heard: evaluation of a new service delivery in augmentative and alternative communication through qualitative interviews with people without natural speech.

Objective: Due to communication barriers, people without natural speech who use augmentative and alternative communication (AAC) are rarely interviewed about their healthcare needs, expectations, and experiences. This qualitative interview study aims to investigate how AAC users evaluate a new service delivery (nSD) in AAC care in Germany.

Results: We conducted 8 semi-structured qualitative interviews with 8 AAC users.

Systematic review and meta-analysis on predictors of prognosis in patients with schizophrenia spectrum disorders: An overview of current evidence and a call for prospective research and open access to datasets.

Background: Schizophrenia spectrum disorders (SSD) have heterogeneous outcomes. If we could predict individual outcome and identify predictors of outcome, we could personalize and optimize treatment and care. Recent research showed that recovery rates tend to stabilize early in the course of disease.

Cost-effectiveness of 20-valent pneumococcal conjugate vaccine in Denmark compared with PPV23.

Background: A new 20-valent pneumococcal conjugate vaccine (PCV20) provides protection against 20 pneumococcal serotypes. The vaccine has the potential to decrease the impact of pneumococcal diseases in society and to increase health among vulnerable persons.

Aim: This study investigates the cost-effectiveness of vaccinating Danish adults in different age groups and risk of pneumococcal disease with PCV20 compared to the 23-valent pneumococcal polysaccharide vaccine (PPV23) - either as PCV20 compared to PPV23 or as PPV23 followed by PCV20 compared to PPV23.

Muva physical activity intervention to improve social functioning in people with a severe mental illness: study protocol of a pragmatic stepped wedge cluster randomized trial.

Background: People with severe mental illness (SMI) often suffer from long-lasting symptoms that negatively influence their social functioning, their ability to live a meaningful life, and participation in society. Interventions aimed at increasing physical activity can improve social functioning, but people with SMI experience multiple barriers to becoming physically active. Besides, the implementation of physical activity interventions in day-to-day practice is difficult.

Semantic and Acoustic Markers in Schizophrenia-Spectrum Disorders: A Combinatory Machine Learning Approach.

Background And Hypothesis: Speech is a promising marker to aid diagnosis of schizophrenia-spectrum disorders, as it reflects symptoms like thought disorder and negative symptoms. Previous approaches made use of different domains of speech for diagnostic classification, including features like coherence (semantic) and form (acoustic). However, an examination of the added value of each domain when combined is lacking as of yet.

Adverse childhood experiences and fronto-subcortical structures in the developing brain.

The impact of adverse childhood experiences (ACEs) differs between individuals and depends on the type and timing of the ACE. The aim of this study was to assess the relation between various recently occurred ACEs and morphology in the developing brain of children between 8 and 11 years of age. We measured subcortical volumes, cortical thickness, cortical surface area and fractional anisotropy in regions of interest in brain scans acquired in 1,184 children from the YOUth cohort.

The perceived impact of physician shortages on human resource strategies in German hospitals - a resource dependency perspective.

Purpose: Like other European countries, Germany is facing regional physician shortages, which have several consequences on patient care. This study analyzes how hospitals perceive physician shortages and which strategies they adopt to address them. As a theoretical framework, the resource dependency theory is chosen.

Schizophrenia Imaging Signatures and Their Associations With Cognition, Psychopathology, and Genetics in the General Population.

Objective: The prevalence and significance of schizophrenia-related phenotypes at the population level is debated in the literature. Here, the authors assessed whether two recently reported neuroanatomical signatures of schizophrenia-signature 1, with widespread reduction of gray matter volume, and signature 2, with increased striatal volume-could be replicated in an independent schizophrenia sample, and investigated whether expression of these signatures can be detected at the population level and how they relate to cognition, psychosis spectrum symptoms, and schizophrenia genetic risk.

Methods: This cross-sectional study used an independent schizophrenia-control sample (N=347; ages 16-57 years) for replication of imaging signatures, and then examined two independent population-level data sets: typically developing youths and youths with psychosis spectrum symptoms in the Philadelphia Neurodevelopmental Cohort (N=359; ages 16-23 years) and adults in the UK Biobank study (N=836; ages 44-50 years).

Longitudinal Allometry of Sulcal Morphology in Health and Schizophrenia.

Scaling between subcomponents of folding and total brain volume (TBV) in healthy individuals (HIs) is allometric. It is unclear whether this is true in schizophrenia (SZ) or first-episode psychosis (FEP). This study confirmed normative allometric scaling norms in HIs using discovery and replication samples.