ReviewDer Nervenarzt2026
Key mechanisms of affective disorders : CRC/TRR 393 project on mechanisms of emotion regulation, expectation, social cognition, and cognitive-behavioral rhythms.
Review in Der Nervenarzt, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- The SFB/TRR 393 Collaborative Research Centre: trajectories of affective disorders : Cognitive-emotional mechanisms of symptom change.Der Nervenarzt · 2026Review
- What to target? Interventions to modulate key mechanisms underlying the trajectories of affective disorders in the transregional Collaborative Research Center 393.Der Nervenarzt · 2026Review
- The impact of social media use on college students' mental health: a narrative review.Frontiers in public health · 2026Review
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlthough affective disorders are a major driver of disability worldwide, there is a lack of understanding of the mechanisms and modulating factors involved in the long-term disease trajectories.
objectivesOur goal is to determine key cognitive-emotional mechanisms in the domains of emotion regulation, expectation, social cognition, and cognitive-behavioral rhythms and their neurobiological correlates in the progression of affective disorders, including recurrences and remissions, chronicity, and functional decline. MATERIALS AND
methodsIn CRC/TRR 393, we will pursue a multi-level investigation of these four domains. Within the German Mental Health Cohort (GEMCO), these mechanisms and their influence on disease trajectories will be investigated longitudinally. Parallelized human and animal projects will enable an in-depth characterization of their neurobiological correlates.
resultsBy leveraging recent advancement in the modeling of complex, dynamic systems and machine learning techniques, we will be able to integrate human and animal data on the key cognitive-emotional mechanisms and their interplay with stressors and other modifying factors across disease trajectories.
conclusionGaining a deeper understanding of the cognitive-emotional mechanisms in the progression of affective disorders will help to predict symptom changes and course of illness as well as to identify key targets of intervention.
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Registered trials
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