Explore the words cloud of the BrainModes project. It provides you a very rough idea of what is the project "BrainModes" about.
The following table provides information about the project.
Coordinator |
CHARITE - UNIVERSITAETSMEDIZIN BERLIN
Organization address contact info |
Coordinator Country | Germany [DE] |
Total cost | 1˙870˙588 € |
EC max contribution | 1˙870˙588 € (100%) |
Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
Code Call | ERC-2015-CoG |
Funding Scheme | ERC-COG |
Starting year | 2016 |
Duration (year-month-day) | from 2016-08-01 to 2021-07-31 |
Take a look of project's partnership.
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1 | CHARITE - UNIVERSITAETSMEDIZIN BERLIN | DE (BERLIN) | coordinator | 1˙870˙588.00 |
Background. We have detailed maps of brain structure and function, yet are lacking understanding of how the highly connected units interact and give rise to mental processes. The Virtual Brain (TVB), a whole brain simulation framework, aims to bridge that gap. Yet it is still developing. We are proposing here breakthrough advances that reveal mechanisms of brain function and foster collaboration between research groups. Vision. Clinical applications that simulate individual patient brains and predict trajectories of recovery or decline or test therapies to select the best one for that person. Goal. Using biologically realistic brain models and multimodal functional and structural imaging data to elucidate control mechanisms of the human brain in aging. A database collects key data and allows identifying most generic models and mechanisms below the spatial and temporal resolution of non-invasive imaging techniques taking into account the complex interaction in the brain that without a model would be impossible to keep track of. Objectives. 1) Parameter optimization for large parameter space search and a library of dynamical regimes linking dynamical regimes and underlying mechanisms to biological (cognitive) age. 2) Identifying the role of intrinsic plasticity for network reconfigurations in the resting state and its age dependency. 3) Model based identification of task related plasticity mechanisms and their functional consequences for network reconfigurations in coordination learning in aging. 4) An interactive tool that provides access to the dynamical regimes library and makes pre-computed simulations easily accessible allowing researchers to benefit and learn from existing work. Impact. Understanding development, aging and brain disorders from the perspective of disruption of information processing architectures provides an opportunity for new interventions that re-establish control in brain pathology hence posing a breakthrough in the health and biotech sector.
year | authors and title | journal | last update |
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2017 |
Etay Hay, Petra Ritter, Nancy J. Lobaugh, Anthony R. McIntosh Multiregional integration in the brain during resting-state fMRI activity published pages: e1005410, ISSN: 1553-7358, DOI: 10.1371/journal.pcbi.1005410 |
PLOS Computational Biology 13/3 | 2020-04-08 |
2017 |
Katharina Glomb, Adrián Ponce-Alvarez, Matthieu Gilson, Petra Ritter, Gustavo Deco Resting state networks in empirical and simulated dynamic functional connectivity published pages: 388-402, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2017.07.065 |
NeuroImage 159 | 2020-04-08 |
2018 |
Michael Schirner, Anthony Randal McIntosh, Viktor Jirsa, Gustavo Deco, Petra Ritter Inferring multi-scale neural mechanisms with brain network modelling published pages: , ISSN: 2050-084X, DOI: 10.7554/eLife.28927 |
eLife 7 | 2020-04-08 |
2018 |
Hannelore Aerts, Michael Schirner, Ben Jeurissen, Dirk Van Roost, Eric Achten, Petra Ritter, Daniele Marinazzo Modeling Brain Dynamics in Brain Tumor Patients Using the Virtual Brain published pages: ENEURO.0083-18.2, ISSN: 2373-2822, DOI: 10.1523/eneuro.0083-18.2018 |
eneuro 5/3 | 2020-04-08 |
2019 |
Leon Stefanovski, Paul Triebkorn, Andreas Spiegler, Margarita-Arimatea Diaz-Cortes, Ana Solodkin, Viktor Jirsa, Anthony Randal McIntosh, Petra Ritter Linking Molecular Pathways and Large-Scale Computational Modeling to Assess Candidate Disease Mechanisms and Pharmacodynamics in Alzheimer\'s Disease published pages: , ISSN: 1662-5188, DOI: 10.3389/fncom.2019.00054 |
Frontiers in Computational Neuroscience 13 | 2020-04-08 |
2019 |
J. Zimmermann, J. Griffiths, M. Schirner, P. Ritter, A. R. McIntosh Subject specificity of the correlation between large-scale structural and functional connectivity published pages: 90-106, ISSN: 2472-1751, DOI: 10.1162/netn_a_00055 |
Network Neuroscience 3/1 | 2020-04-08 |
2019 |
Kelly Shen, Gleb Bezgin, Michael Schirner, Petra Ritter, Stefan Everling, Anthony R. McIntosh A macaque connectome for large-scale network simulations in TheVirtualBrain published pages: , ISSN: 2052-4463, DOI: 10.1038/s41597-019-0129-z |
Scientific Data 6/1 | 2020-04-08 |
2018 |
J. Zimmermann, A. Perry, M. Breakspear, M. Schirner, P. Sachdev, W. Wen, N.A. Kochan, M. Mapstone, P. Ritter, A.R. McIntosh, A. Solodkin Differentiation of Alzheimer\'s disease based on local and global parameters in personalized Virtual Brain models published pages: 240-251, ISSN: 2213-1582, DOI: 10.1016/j.nicl.2018.04.017 |
NeuroImage: Clinical 19 | 2020-04-08 |
2017 |
Gustavo Deco, Morten L. Kringelbach, Viktor K. Jirsa, Petra Ritter The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-017-03073-5 |
Scientific Reports 7/1 | 2020-04-08 |
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The information about "BRAINMODES" are provided by the European Opendata Portal: CORDIS opendata.