[Patient and public involvement at the German Center for Mental Health: achievements and challenges]

BACKGROUND

Patient and public involvement (PPI) describes the participation of patients and relatives, i.e., experts by experience (EE), in the research process. The PPI has not been widely adopted in the fields of medicine and clinical psychology in Germany and there is a notable absence of institutional support. The German Center for Mental Health (DZPG), which has been under construction since May 2023, aims to achieve nationwide and cross-center implementation of PPI, constituting one of its primary objectives. Participation of EE is to be implemented in the DZPG at all levels of decision-making.

OBJECTIVES

The article describes the origins, development and challenges associated with the implementation of participation structures and projects in the DZPG. The central political PPI committee in the DZPG, the Trilogue Center Council (TZR), developed a comprehensive PPI strategy for the DZPG in almost 3 years of work, before the beginning of the financial support of the DZPG. Among various measures, the strategy entails establishing a far-reaching representation for EE in all decision-making bodies of the DZPG, to involve EE as reviewers in evaluating research proposals, to integrate participatory elements into all studies of the DZGG and to foster user-initiated research endeavors. The implementation of the strategy is ensured by a cross-center PPI infrastructure, the Center for PPI, and scientific PPI consultants. The Center for PPI's tasks include supporting the voice of the EE and developing instruments and guidelines for participatory research, bringing together EE and researchers for joint DZPG projects as well as the documentation and quality assurance for participatory research. One of the particular challenges for the successful implementation of the PPI strategy is the limited experience with PPI in Germany in the field of mental health research and the widespread lack of structural implementation. Currently developed solution strategies include training for researchers and EE to communicate the benefits and pathways in the realization of PPI and thus enable shared decision-making and research. In addition, extensive access to knowledge and resources for EE will be created and uniform remuneration regulations for EE will be developed.

CONCLUSION

A PPI strategy at the DZPG has been successfully developed and is currently being implemented by the cross-center infrastructure Center for PPI.

[The German Center for Mental Health : Innovative translational research to promote prevention, targeted intervention and resilience]

BACKGROUND

Due to the high disease burden, the early onset and often long-term trajectories mental disorders are among the most widespread diseases with growing significance. The German Center for Mental Health (DZPG) was established to enhance research conditions and expedite the translation of clinically relevant findings into practice.

OBJECTIVE

The aim of the DZPG is to optimize mental healthcare in Germany, influence modifiable social causes and to develop best practice models of care for vulnerable groups. It seeks to promote mental health and resilience, combat the stigmatization associated with mental disorders, and contribute to the enhancement of treatment across all age groups.

MATERIAL AND METHODS

The DZPG employs a translational research program that accelerates the translation of basic research findings into clinical studies and general practice. University hospitals and outpatient departments, other university disciplines, and extramural research institutions are working together to establish a collaboratively coordinated infrastructure for accelerated translation and innovation.

RESEARCH PRIORITIES

The research areas encompass 1) the interaction of somatic and mental risk and resilience factors and disorders across the lifespan, 2) influencing relevant modifiable environmental factors and 3) based on this personalized prevention and intervention.

CONCLUSION

The DZPG aims to develop innovative preventive and therapeutic tools that enable an improvement in care for individuals with mental disorders. It involves a comprehensive integration of experts with experience at all levels of decision-making and employs trilogue and participatory approaches in all research projects.

Imitation and recognition of facial emotions in autism: a computer vision approach

Background

Imitation of facial expressions plays an important role in social functioning. However, little is known about the quality of facial imitation in individuals with autism and its relationship with defining difficulties in emotion recognition.

Methods

We investigated imitation and recognition of facial expressions in 37 individuals with autism spectrum conditions and 43 neurotypical controls. Using a novel computer-based face analysis, we measured instructed imitation of facial emotional expressions and related it to emotion recognition abilities.

Results

Individuals with autism imitated facial expressions if instructed to do so, but their imitation was both slower and less precise than that of neurotypical individuals. In both groups, a more precise imitation scaled positively with participants’ accuracy of emotion recognition.

Limitations

Given the study’s focus on adults with autism without intellectual impairment, it is unclear whether the results generalize to children with autism or individuals with intellectual disability. Further, the new automated facial analysis, despite being less intrusive than electromyography, might be less sensitive.

Conclusions

Group differences in emotion recognition, imitation and their interrelationships highlight potential for treatment of social interaction problems in individuals with autism.

Small Semantic Networks in Individuals with Autism Spectrum Disorder Without Intellectual Impairment: A Verbal Fluency Approach

Individuals with Autism Spectrum Disorder (ASD) experience a variety of symptoms sometimes including atypicalities in language use. The study explored differences in semantic network organisation of adults with ASD without intellectual impairment. We assessed clusters and switches in verbal fluency tasks ('animals', 'human feature', 'verbs', 'r-words') via curve fitting in combination with corpus-driven analysis of semantic relatedness and evaluated socio-emotional and motor action related content. Compared to participants without ASD (n = 39), participants with ASD (n = 32) tended to produce smaller clusters, longer switches, and fewer words in semantic conditions (no p values survived Bonferroni-correction), whereas relatedness and content were similar. In ASD, semantic networks underlying cluster formation appeared comparably small without affecting strength of associations or content.

Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT)

Social interaction deficits are evident in many psychiatric conditions and specifically in autism spectrum disorder (ASD), but hard to assess objectively. We present a digital tool to automatically quantify biomarkers of social interaction deficits: the simulated interaction task (SIT), which entails a standardized 7-min simulated dialog via video and the automated analysis of facial expressions, gaze behavior, and voice characteristics. In a study with 37 adults with ASD without intellectual disability and 43 healthy controls, we show the potential of the tool as a diagnostic instrument and for better description of ASD-associated social phenotypes. Using machine-learning tools, we detected individuals with ASD with an accuracy of 73%, sensitivity of 67%, and specificity of 79%, based on their facial expressions and vocal characteristics alone. Especially reduced social smiling and facial mimicry as well as a higher voice fundamental frequency and harmony-to-noise-ratio were characteristic for individuals with ASD. The time-effective and cost-effective computer-based analysis outperformed a majority vote and performed equal to clinical expert ratings.