WP3 will develop a statistical approach for fusion of quantitative modality-specific biological measurements relative to behavioural parameters of social withdrawal, attention, working memory, and sensory processing and link these to behavioral data and clinical assessments. We will use data-driven clustering of individual domain data validated against symptom constellations to identify the highest predicting quantitative domain in patients stratified for low versus high social withdrawal. Moreover, multi-modal data fusion approaches are applied to derive quantitative phenotypes across the different makes (behavioural, genetic, and imaging-derived) and validated against neuropsychiatric measures.

WP2 will create and govern the scientific rationale and consensus for selecting the approaches for the clinical and preclinical deep phenotyping studies that are performed in WPs 4 and 6. This WP will utilize already available scientific literature and expertise within the consortium to select study designs, instruments, and methodologies directed at obtaining homologous and robust clinical and pre-clinical measures for social withdrawal, attention, working memory, and sensory processing. In this WP it is solely intended to align and harmonize specific objectives and tasks between the clinical and pre-clinical WPs 4 and 6. Consequently, there will be a strong reach into operative tasks and objectives of these WPs.

Effective project management is a central element of successful research. This particularly applies to large research projects entailing a substantial amount of administrative work. The management WP makes sure that the project achieves its objectives and delivers its milestones and deliverables  on time, within budget and with highest quality. It is furthermore concerned with communication, reporting, meeting organisation, financial management and intellectual property rights. The responsibility for project management lies primarily with the coordinator and project leader who are supported by concentris.