EPSILON is a BMBF-funded project dealing with objective and hybrid assessment of cognitive and fatigue-associated post-COVID symptoms using multimodal tools. Cognitive deficits and fatigue are among the most common post-COVID symptoms. These are not only a burden for patients, they also have significant social and economic consequences for society. Accurate diagnosis of these late effects and differentiation from other non-specific causes are crucial for targeted therapies, but require many resources. In EPSILON, a solution to this problem, in particular for the efficient and reliable classification of patients with cognitive and fatigue-associated late effects, is to be developed and researched. On this page you will find general information about the project, the network and, in the future, the research development results.


The goal of EPSILON is to objectively and accurately distinguish cognitive deficits and fatigue as late effects of COVID-19. Current analyses by the consortium show that both sets of symptoms are common but are essentially separate late effects of COVID-19. The project also incorporates the multidisciplinary assessments of the post-COVID guideline. EPSILON examines clinical subsets of COVID late effects through a multimodal data profile collected using interactive virtual reality technologies. This profile includes cognitive, autonomic, and behavioral parameters and examines which factors best discriminate between groups.

Basics from the VReha project

EPSILON builds on the successful preliminary work from the VReha project, in which this network was involved. VR technologies have already been researched, implemented and validated as a pioneering element in the diagnosis and treatment of cognitive disorders. In particular, the immersive virtual memory task, which was developed to record and train spatial memory, represents an important basis for EPSILON.

more about VReha

Innovations and prospects

The VReha Memory task is adapted for post-COVID diagnostics and expanded to include additional vegetative, behavioral and psychological parameters. EPSILON is thus developing hybrid diagnostic approaches, interactive analysis methods and modelling approaches to objectively characterize post-COVID subtypes. This should relieve the burden on post-COVID outpatient clinics, provide a basis for telemedical follow-up applications and create a valuable collection of data.

Project partner

The network consists of a well-established team of two clinical partners, the Cognitive Neurology working group at the Department of Neurology at Charité - Universitätsmedizin Berlin and the Day Clinic for Cognitive Neurology at the Medical Faculty of Leipzig University Hospital, as well as two technically oriented R&D partners, the Mind-Body-Emotion Group at the Max Planck Institute for Human Cognitive and Brain Sciences and the Interactive and Cognitive Systems Group at the Fraunhofer Heinrich Hertz Institute. The alliance is coordinated by Paul Chojecki from the Fraunhofer HHI.

EPSILON project team at the official Kick-Off Meeting, 04.10.2023 in Berlin
v.l.n.r. Mustafa Lafci, Stephan Krohn, Paul Chojecki, Mia Neubauer, Julia Belger, Carsten Finke, Angelika Thöne-Otto, Michael Gaebler, Niklas Hörner, Birgit Nierula


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