The central goal of this project is the development of a cloud-based platform for biomedical research and clinical decision-making that helps to improve early patient-specific diagnosis and treatment of NDD and has substantial potential for significant positive socioeconomic impact.

The platform integrates several aims that revolve around early diagnosis, prognosis, and personalized treatment of neurodegenerative diseases (NDD) like Alzheimer’s disease (AD) and Parkinson’s disease (PD). It is becoming increasingly clear that meeting this objective requires a multifactorial approach that takes into account individual genetic, metabolic and environmental aspects, and that integrates them with the understanding of the biophysical processes underlying NDD.

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New Paper on the biological framework for multi-scale brain simulation with The Virtual Brain

We are pleased to announce the preprint of From genes to network models of Alzheimer's disease: Biological framework for multi-scale brain simulation with The Virtual Brain.

The paper was authored by Leon Stefanovski, Jil Mona Meier, Roopa Pai, Paul Triebkorn, Tristram Lett, Leon Martin, Konstantin Bülau, Martin Hofmann-Apitius, Ana Solodkin, Anthony McIntosh, Petra Ritter.

Read the preprint here

“Personalized Multi-scale Brain Simulation” Virtual Course

Register for our Online Course running from Dec 2020 to Feb 2021

This course provides basic knowledge on personalized brain network modeling. Students will gain theoretical knowledge and subsequently use this knowledge to construct models, process multi-modal imaging data for creating individualized models, run simulations and use supporting neuroinformatics tool such as collaboratories, pipelines, workflows and data repositories.


Find out more here

Computational Modeling of Candidate Mechanisms of Neurodegeneration Webinar

Recording now online

The recording of the public webinar Computational Modeling of Candidate Mechanisms of Neurodegeneration by Petra Ritter is now online.

Watch now

Our recent work will be presented at AD/PD 2021

We will present our recent work, The Virtual Brain Cloud - Towards personalized multi-scale brain simulation using neuroimaging cohorts for Alzheimer's disease research at the 15th International Conference on Alzheimer's & Parkinson's Disease AD/PD 2021.

More on AD/PD here

European Open Science Cloud (EOSC) Projects EXPO

Visit The Virtual Brain Cloud Booth at the EOSC Projects EXPO from November 16 to 19. Members of our consortium will be available live throughout the event.

Realizing the European Open Science Cloud Towards a FAIR research data landscape for the social sciences, humanities and beyond.

Watch a video about TVB Cloud here

Petra Ritter to talk at the DGKN annual conference.

The DGKN (German Society for Clinical Neurophysiology and Functional Imaging) will be holding their annual conference virtually from November 10 - 14. Petra Ritter will give a presentation on Personalized Brain Simulation in the Presidential Symposium on November 13th.

Find more info here

Videos on TheVirtualBrain / Cloud

Conferences & Events

Realising the European Open Science Cloud Expo

Visit our TVB-Cloud booth at the EOSC Expo Exhibit Hall.

For registration, please visit:

30th Alzheimer Europe Conference


We are inviting you to join the  online 30th Annual Alzheimer Europe Conference, organized by our patients representatives project partner, Alzheimer Europe.

For more information about registration and participation, please follow this link:


Bridging the gap between new technologies, health research and the protection of personal data: GDPR impact conference


Join us at the TVB-Cloud Conference on GDPR Impact taking place ONLINE on September 18th, 2020, organized by the University of Vienna Department of Innovation and Digitalization in Law.

For more information and registration please visit the following link:

Important Links

Latest Publications

Brain Network Simulations Indicate Effects of Neuregulin-1 Genotype on Excitation-Inhibition Balance in Cortical Dynamics.

Thieme E-Journals
doi: 10.1055/s-0039-3403020

The Bayesian Virtual Epileptic Patient: A probabilistic framework designed to infer the spatial map of epileptogenicity in a personalized large-scale brain model of epilepsy spread

doi: 10.1016/j.neuroimage.2020.116839


Movement Disorders After Hypoxic Brain Injury Following Cardiac Arrest in Adults

European Jounal of Neurology
doi: 10.1111/ene.14326


VirtualBrainCloud partners

The world-leading experts in clinical research on neurodegenerative diseases and mathematical modelling develop a computational platform for translational research that integrates clinical data from molecular biology and neurology, using nonlinear systems theory as framework. Central to this platform is a multi-scale multi-omics brain model that spans spatiotemporal scale from molecules to organs and from nanoseconds to years.


Consortium details