ReviewDer Nervenarzt2026
Epidemiology of aggression and violence in mental disorders and the approach of TRR 379.
Review in Der Nervenarzt, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
4 authors.
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Abstract
Aggression in mental disorders (AMD) poses a challenge for everyday clinical practice and has far-reaching societal implications. The biological foundations of the different manifestations, developmental trajectories, and transdiagnostic and disorder-specific deficits remain largely unknown. One reason for the apparent lack of understanding of the complex mechanisms underlying AMD is the heterogeneity of both aggression and mental disorders themselves. This, in turn, hinders progress in developing effective prevention and intervention strategies. Therefore, a collaborative approach between clinical and experimental neuroscientists is required to address this issue comprehensively and in a multimodal manner. The proposed initiative aims to advance knowledge on the biological bases of AMD and its developmental course. The Transregional Collaborative Research Center 379 (TRR) will follow the Research Domain Criteria (RDoC) framework, investigating multiple aspects that characterize aggression: genetic and molecular mechanisms as well as hormonal, neural, and associated behavioral systems. Thus, the TRR aims to identify biosignatures of AMD based on multidimensional pathways that underlie the different manifestations of aggression to enable the development of tailor-made biosignature-specific prevention and intervention.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.